Optimization Books
Birkhauser Verlag AG Optimal Stopping and Free-Boundary Problems
Book SynopsisThis book discloses a fascinating connection between optimal stopping problems in probability and free-boundary problems. It focuses on key examples and the theory of optimal stopping is exposed at its basic principles in discrete and continuous time covering martingale and Markovian methods. Methods of solution explained range from change of time, space, and measure, to more recent ones such as local time-space calculus and nonlinear integral equations. A chapter on stochastic processes makes the material more accessible. The book will appeal to those wishing to master stochastic calculus via fundamental examples. Areas of application include financial mathematics, financial engineering, and mathematical statistics.Table of ContentsOptimal stopping: General facts.- Stochastic processes: A brief review.- Optimal stopping and free-boundary problems.- Methods of solution.- Optimal stopping in stochastic analysis.- Optimal stopping in mathematical statistics.- Optimal stopping in mathematical finance.- Optimal stopping in financial engineering.
£104.49
Birkhauser Verlag AG Variational methods in some shape optimization
Book SynopsisThe study of shape optimization problems is a very wide field, both classical, as the isoperimetric problem and Newton problem of the best aerodynamical shape show, and modern, for all the recent results obtained in the last two, three decades. The fascinating feature is that the competing objects are shapes, i.e. domains of Rn, instead of functions, as usually occurs in problems of calculus of variations. This constraint often produces additional difficulties that lead to a lack of existence of a solution and the introduction of suitable relaxed formulations of the problem. However, in a few cases an optimal solution exists, due to the special form of the cost functional and to the geometrical restriction on the class of competing domains. This volume collects the lecture notes of two courses given in the academic year 2000/01 by the authors at the University of Pisa and at the Scuola Normale Superiore respectively. The courses were mainly addressed to Ph. D. students and required a background in the topics in functional analysis that are usually taught in undergraduate courses.
£17.30
Birkhauser Verlag AG Optimal Transportation, Geometry and Functional
Book SynopsisIn 2008, a school on the theory of optimal transportation and its applications took place in Pisa, with lectures by F. Barthe, W. Gangbo, F. Maggi and R. McCann. In this book, the notes of the first three lecturers are collected. They provide a deep insight on concentration inequalities, evolution PDEs of Hamiltonian type, geometric and functional inequalities.
£25.64
Birkhauser Verlag AG Regularity of Optimal Transport Maps and
Book SynopsisIn this thesis, we study the regularity of optimal transport maps and its applications to the semi-geostrophic system. The first two chapters survey the known theory, in particular there is a self-contained proof of Brenier’ theorem on existence of optimal transport maps and of Caffarelli’s Theorem on Holder continuity of optimal maps. In the third and fourth chapter we start investigating Sobolev regularity of optimal transport maps, while in Chapter 5 we show how the above mentioned results allows to prove the existence of Eulerian solution to the semi-geostrophic equation. In Chapter 6 we prove partial regularity of optimal maps with respect to a generic cost functions (it is well known that in this case global regularity can not be expected). More precisely we show that if the target and source measure have smooth densities the optimal map is always smooth outside a closed set of measure zero.Table of ContentsIntroduction.- 1 An overview on Optimal Transportation.- 2 The Monge-Ampère Equation.- 3 Sobolev regularity of solutions to the Monge-Ampère equation.- 4 Second order stability for the Monge-Ampère equation and applications.- 5 The semigeostrophic equations.- 6 Partial regularity of optimal transport maps.- A. Properties of convex functions.- B. A proof of John Lemma.- Bibliography.
£16.14
Birkhauser Verlag AG Geometric Partial Differential Equations
Book SynopsisThis book is the outcome of a conference held at the Centro De Giorgi of the Scuola Normale of Pisa in September 2012. The aim of the conference was to discuss recent results on nonlinear partial differential equations, and more specifically geometric evolutions and reaction-diffusion equations. Particular attention was paid to self-similar solutions, such as solitons and travelling waves, asymptotic behaviour, formation of singularities and qualitative properties of solutions. These problems arise in many models from Physics, Biology, Image Processing and Applied Mathematics in general, and have attracted a lot of attention in recent years.Table of ContentsN. Alikakos: On the structure of phase transition maps for three or more coexisting phases.- S. Amato, G. Bellettini, M. Paolini: The nonlinear multidomain model: a new formal asymptotic analysis.- A. Chambolle, M. Goldman, M. Novaga: Existence and qualitative properties of isoperimetric sets in periodic media.- A. Chambolle, M. Morini, M. Ponsiglione: Minimizing movements and level set approach to geometric flow of nonlocal perimeters.- S. Choi, I. Kim: Homogenization with oscillatory Neumann boundary data in general domain.- D. Christodoulou: The Analysis of Shock Formation in 3-Dimensional Fluids.- L. Dupaigne, A. Farina, B. Sirakov: Regularity of the extremal solutions for the Liouville system.- M.-H. Giga, Y. Giga, A. Nakayasu: On general existence results for one-dimensional singular diffusion equations with spatially inhomogeneous driving force.- Y. Giga, G. Pisante: On representation of boundary integrals involving the mean curvature for mean-convex domains.- A. Lemenant, Y. Sire: Elliptic problem in nonsmooth domain, Reifenberg-flat domains, Regularity.- A. Pisante: Maximally localized wannier functions: existence and exponential localization.- A. Stancu: Flows by powers of centro-affine curvature.
£24.69
Birkhauser Verlag AG Free Discontinuity Problems
Book SynopsisThis book presents a series of lectures on three of the best known examples of free discontinuity problems: the Mumford-Shah model for image segmentation, a variational model for the epitaxial growth of thin films, and the sharp interface limit of the Ohta-Kawasaki model for pattern formation in dyblock copolymers.Table of ContentsIntroduction.- Fine regularity results for Mumford-Shah minimizers: porosity, higher integrability and the Mumford-Shah conjecture.- Variational models for epitaxial growth.- Local and global minimality results for an isoperimetric problem with long-range interactions.
£21.84
Birkhauser Verlag AG Fractional Elliptic Problems with Critical Growth
Book SynopsisThese lecture notes are devoted to the analysis of a nonlocal equation in the whole of Euclidean space. In studying this equation, all the necessary material is introduced in the most self-contained way possible, giving precise references to the literature when necessary. The results presented are original, but no particular prerequisite or knowledge of the previous literature is needed to read this text. The work is accessible to a wide audience and can also serve as introductory research material on the topic of nonlocal nonlinear equations.Table of ContentsIntroduction.- The problem studied in this monograph.- Functional analytical setting.- Existence of a minimal solution and proof of Theorem 2.2.2.- Regularity and positivity of the solution.- Existence of a second solution and proof of Theorem 2.2.4.
£18.99
Birkhauser Verlag AG Flows of Non-Smooth Vector Fields and Degenerate
Book SynopsisThe first part of the book is devoted to the transport equation for a given vector field, exploiting the lagrangian structure of solutions. It also treats the regularity of solutions of some degenerate elliptic equations, which appear in the eulerian counterpart of some transport models with congestion. The second part of the book deals with the lagrangian structure of solutions of the Vlasov-Poisson system, which describes the evolution of a system of particles under the self-induced gravitational/electrostatic field, and the existence of solutions of the semigeostrophic system, used in meteorology to describe the motion of large-scale oceanic/atmospheric flows.Table of ContentsAn overview on flows of vector fields and on optimal transport.- Maximal regular flows for non-smooth vector fields.- Main properties of maximal regular flows and analysis of blow-up.- Lagrangian structure of transport equations.- The continuity equation with an integrable damping term.- Regularity results for very degenerate elliptic equations.- An excess-decay result for a class of degenerate elliptic equations.- The Vlasov-Poisson system.- The semigeostrophic system.
£15.19
Atlantis Press (Zeger Karssen) Mean Field Theories and Dual Variation - Mathematical Structures of the Mesoscopic Model
Book SynopsisMean field approximation has been adopted to describe macroscopic phenomena from microscopic overviews. It is still in progress; fluid mechanics, gauge theory, plasma physics, quantum chemistry, mathematical oncology, non-equilibirum thermodynamics. spite of such a wide range of scientific areas that are concerned with the mean field theory, a unified study of its mathematical structure has not been discussed explicitly in the open literature. The benefit of this point of view on nonlinear problems should have significant impact on future research, as will be seen from the underlying features of self-assembly or bottom-up self-organization which is to be illustrated in a unified way. The aim of this book is to formulate the variational and hierarchical aspects of the equations that arise in the mean field theory from macroscopic profiles to microscopic principles, from dynamics to equilibrium, and from biological models to models that arise from chemistry and physics.Table of Contents
£67.45
Springer Verlag, Singapore Formal Methods for Safety and Security: Case
Book SynopsisThis volume is the outcome of deliberations on formal methods in aerospace. The book specially delves into the use of formal methods for verification, validation, and optimization of software in safety critical and time critical applications, such as those in aerospace engineering. The chapters in this book are authored by leading corporate and government R&D scientists. The contents of this book will be useful to researchers and professionals alike. Table of ContentsFormal Methods – A Need for Practical Applications.- Formal Methods & Tools for Safety of Critical Systems.- Taming the Enemy: Framework for Comparative Analysis of Safe String Libraries.- Dynamic Constrained Objects for Vehicular Network Modeling.- Adoption of Formal Methods in Software Safety Analysis.- Model-Based Safety Validation for Embedded Real-Time Systems.- Arguing formally about Flight Controls using SLDV and NuSMV.- Formal Methods: Techniques, Applications, Thrust Areas and Future Prospects.- Design Fault Identification in Model-Based Design (MBD) for Safety Critical Systems.- Formal Methods Workflow for Model Based Development.- Race that never ends!.
£89.99
World Scientific Publishing Co Pte Ltd Multiscale Optimization And Materials Design
Book SynopsisThe book presents a set of novel, efficient and systematic concurrent multiscale optimization methods by considering the distribution of the material in macro-scale and the unit-cell configuration design in micro-scale simultaneously. Different from the traditional optimization method that is performed in a single scale, the proposed methods could generate a great deal of improvements in structural performance through the multiscale structure-material concurrent optimum design.The proposed theory and methods are related to statics, dynamics, thermoelastics and the coupling of different physical fields. Therefore, it provides a comprehensive designing scheme when multiple factors are taken into account. For example, the designing scheme can have a great significance on enhancing the structural performances under coupled multi-physical fields, such as load bearing capacity, vibration resistance ability, and safety under thermal stress and so on.Several numerical examples are highlighted in this unique volume based on practical engineering applications. The examples collectively demonstrate drastically improved designs featuring excellent unit-cell configuration and highly regular macroscale material distribution in a variety of industrial applications.
£85.50
World Scientific Publishing Co Pte Ltd Logic Of The Third, The: A Paradigm Shift To A
Book SynopsisThis book is a scientific basis for understanding the urgent need for a Great Transformation to a third step in social evolution. Already being a community of common destiny, humanity can form an actual unity through diversity to avoid extinction. Social actors can recognise informational imperatives for cognition, communication and co-operation to achieve such a unity. By doing so, they apply a logic that underlies the structuration of any agency, which is a real logic of self-organising systems from the physical to the social. This logic is the Logic of the Third — the Third is a meta-structure that emerges in a leap. The agents interact and when they co-act they are likely to form a real meta-structure of organisational relations. Informational agents anticipate this by generating requisite information in their attempt to cope with complex challenges. Such an information is a meta-structure too. The Third helps achieve synergy effects.This book discusses considerations from philosophy, systems theory, the study of information, social systems, social information, ecology and technology. It addresses ethical issues connected with the long-forgotten arms race in an atomic age, the global warming not yet under control, the pandemic misunderstood, the social question still unanswered.
£85.50
World Scientific Publishing Co Pte Ltd Motion Control: Multi-faceted Movement In Space,
Book SynopsisThis book addresses the mathematical and the practical aspects of motion implied by advanced control theory. The richness and power of the theory are demonstrated by separate analyses of single-model and multi-modal repertoires, consisting of verities of estimation and control facets. Starting with purely mathematical concepts, specifically, abstract probability and information theories, model control theory is gradually revealed as a rather amazing domain. The mathematical equations, taking essentially simple forms, are exposed as powerful generators of motion. Moreover, seemingly obvious applications of the theory, such as high-performance aircraft control make room for unexpected virtual reality feedback in control of motion for the neurologically impaired.Following the presentation of some historical milestones and mathematical preliminaries, the book is divided into four parts. The first deals with minimal-order models of state estimation and control. The second addresses multi-modal estimation and control, which facilitates the operation of high-performance aircraft in large flight envelopes. The third presents the transition from naturally nonlinear control of movement in obstacle avoidance and object targeting to virtually linear control of movement in the neurologically impaired. The fourth and final part of the book addresses the application of virtual sensory feedback in walking with specific neurological impairment. While the clinical studies reported were all based on a single-model paradigm, a later reflection reveals that, given the variety of neurological symptoms associated with the relevant disorders, a multi-modal approach, as that addressed in the control of high-performance aircraft in a large flight envelope, would be similarly applicable in the treatment of neurological disorders.
£108.00
World Scientific Publishing Co Pte Ltd Elliptic Partial Differential Equations From An
Book SynopsisThis is a textbook that covers several selected topics in the theory of elliptic partial differential equations which can be used in an advanced undergraduate or graduate course.The book considers many important issues such as existence, regularity, qualitative properties, and all the classical topics useful in the wide world of partial differential equations. It also includes applications with interesting examples.The structure of the book is flexible enough to allow different chapters to be taught independently.The book is friendly, welcoming, and written for a newcomer to the subject.It is essentially self-contained, making it easy to read, and all the concepts are fully explained from scratch, combining intuition and rigor, and therefore it can also be read independently by students, with limited or no supervision.
£148.50
World Scientific Publishing Co Pte Ltd Elliptic Partial Differential Equations From An
Book SynopsisThis is a textbook that covers several selected topics in the theory of elliptic partial differential equations which can be used in an advanced undergraduate or graduate course.The book considers many important issues such as existence, regularity, qualitative properties, and all the classical topics useful in the wide world of partial differential equations. It also includes applications with interesting examples.The structure of the book is flexible enough to allow different chapters to be taught independently.The book is friendly, welcoming, and written for a newcomer to the subject.It is essentially self-contained, making it easy to read, and all the concepts are fully explained from scratch, combining intuition and rigor, and therefore it can also be read independently by students, with limited or no supervision.
£76.00
World Scientific Publishing Co Pte Ltd Continuous Optimization For Data Science
Book Synopsis
£99.00
Springer Verlag, Singapore Design Sensitivity Analysis and Optimization of
Book Synopsis This book presents a comprehensive introduction to design sensitivity analysis theory as applied to electromagnetic systems. It treats the subject in a unified manner, providing numerical methods and design examples. The specific focus is on continuum design sensitivity analysis, which offers significant advantages over discrete design sensitivity methods. Continuum design sensitivity formulas are derived from the material derivative in continuum mechanics and the variational form of the governing equation. Continuum sensitivity analysis is applied to Maxwell equations of electrostatic, magnetostatic and eddy-current systems, and then the sensitivity formulas for each system are derived in a closed form; an integration along the design interface.The book also introduces the recent breakthrough of the topology optimization method, which is accomplished by coupling the level set method and continuum design sensitivity. This topology optimization method enhances the possibility of the global minimum with minimised computational time, and in addition the evolving shapes during the iterative design process are easily captured in the level set equation. Moreover, since the optimization algorithm is transformed into a well-known transient analysis algorithm for differential equations, its numerical implementation becomes very simple and convenient. Despite the complex derivation processes and mathematical expressions, the obtained sensitivity formulas are very straightforward for numerical implementation. This book provides detailed explanation of the background theory and the derivation process, which will help readers understand the design method and will set the foundation for advanced research in the future. Table of Contents1. Introduction. 1.1 Optimal Design Process. 1.2 Design Steps of Electromagnetic System. 1.3 Design Variables. 1.4 Equations and Characteristics of Electromagnetic Systems. 1.4.1 Maxwell’s Equations and Governing Equations. 1.4.2 Characteristics of Electromagnetic Systems. 1.5 Design Sensitivity Analysis. 1.5.1 Finite Difference Method. 1.5.2 Discrete Method. 1.5.3 Continuum Method.2. Variational Formulation of Electromagnetic Systems. 2.1 Variational Formulation of Electrostatic System. 2.1.1 Differential State Equation. 2.1.2 Variational State Equation. 2.2 Variational Formulation of Magnetostatic System. 2.2.1 Differential State Equation. 2.2.2 Variational State Equation. 2.3 Variational Formulation of Eddy Current System. 2.3.1 Differential State Equation. 2.3.2 Variational State Equation. 2.4 Variational Formulation of DC Conductor System. 2.4.1 Differential State Equation. 2.4.2 Variational State Equation.3. Continuum Shape Design Sensitivity of Electrostatic System. 3.1 Material Derivative and Formula. 3.1.1 Material Derivative. 3.1.2 Material Derivative Formula. 3.2 Shape Sensitivity of Outer Boundary. 3.2.1 Problem Definition and Objective Function. 3.2.2 Lagrange Multiplier Method for Sensitivity Derivation. 3.2.3 Adjoint Variable Method for Sensitivity Analysis. 3.2.4 Boundary Expression of Shape Sensitivity. 3.2.5 Analytical Example. 3.2.6 Numerical Examples. 3.3 Shape Sensitivity of Outer Boundary for System Energy. 3.3.1 Problem Definition. 3.3.2 Lagrange Multiplier Method for Energy Sensitivity. 3.3.3 Adjoint Variable Method for Sensitivity Analysis. 3.3.4 Boundary Expression of Shape Sensitivity. 3.3.5 Source Condition and Capacitance Sensitivity. 3.3.6 Analytical Example. 3.3.7 Numerical Examples. 3.4 Shape Sensitivity of Interface. 3.4.1 Problem Definition and Objective Function. 3.4.2 Lagrange Multiplier Method for Sensitivity Derivation. 3.4.3 Adjoint Variable Method for Sensitivity Analysis. 3.4.4 Boundary Expression of Shape Sensitivity. 3.4.5 Analytical Example. 3.4.6 Numerical Example. 3.5 Shape Sensitivity of Interface for System Energy. 3.5.1 Problem Definition. 3.5.2 Lagrange Multiplier Method for Energy Sensitivity. 3.5.3 Adjoint Variable Method for Sensitivity Analysis. 3.5.4 Boundary Expression of Shape Sensitivity. 3.5.5 Source Condition and Capacitance Sensitivity. 3.5.6 Analytical Example. 3.5.7 Numerical Examples. 4. Continuum Shape Design Sensitivity of Magnetostatic System. 4.1 Interface Shape Sensitivity. 4.1.1 Problem Definition and Objective Function. 4.1.2 Lagrange Multiplier Method for Sensitivity Derivation. 4.1.3 Adjoint Variable Method for Sensitivity Analysis. 4.1.4 Boundary Expression of Shape Sensitivity. 4.1.5 Interface Problems. 4.1.6 Analytical Example. 4.1.7 Numerical Examples. 4.2 Interface Shape Sensitivity for System Energy. 4.2.1 Problem Definition. 4.2.2 Lagrange Multiplier Method for Energy Sensitivity. 4.2.3 Adjoint Variable Method for Sensitivity Analysis. 4.2.4 Boundary Expression of Shape Sensitivity. 4.2.5 Interface Problems. 4.2.6 Source Condition and Inductance Sensitivity. 4.2.7 Analytical Examples. 4.2.8 Numerical Examples. 5. Continuum Shape Design Sensitivity of Eddy Current System. 5.1 Interface Shape Sensitivity. 5.1.1 Problem Definition and Objective Function. 5.1.2 Lagrange Multiplier Method for Sensitivity Derivation. 5.1.3 Adjoint Variable Method for Sensitivity Analysis. 5.1.4 Boundary Expression of Shape Sensitivity. 5.1.5 Interface Problems. 5.1.6 Numerical Examples. 5.2 Interface Shape Sensitivity for System Power. 5.2.1 Problem Definition. 5.2.2 Adjoint Variable Method for Power Sensitivity. 5.2.3 Boundary Expression of Shape Sensitivity. 5.2.4 Sensitivities of Resistance and Inductance. 5.2.5 Numerical Examples. 6. Continuum Shape Design Sensitivity of DC Conductor System. 6.1 Shape Sensitivity of Outer Boundary. 6.1.1 Problem Definition and Objective Function. 6.1.2 Lagrange Multiplier Method for Sensitivity Derivation. 6.1.3 Adjoint Variable Method for Sensitivity Analysis. 6.1.4 Boundary Expression of Shape Sensitivity. 6.2 Shape Sensitivity of Outer Boundary for Joule loss power. 6.2.1 Problem Definition. 6.2.2 Boundary Expression of Shape Sensitivity. 6.2.3 Resistance Sensitivity. 6.2.4 Analytical Examples. 6.2.5 Numerical Examples. 7. Level Set Method and Continuum Sensitivity. 7.1 Level Set Method. 7.2 Coupling of Continuum Sensitivity and Level Set Method. 7.3 Numerical Considerations. 8. Hole and Dot Sensitivity for Topology Optimization. 8.1 Hole Sensitivity. 8.1.1 Hole Sensitivity in Dielectric Material. 8.1.2 Hole Sensitivity in Magnetic Material. 8.1.3 Numerical Examples. 8.2 Dot Sensitivity. 8.2.1 Dot Sensitivity in Dielectric Material. 8.2.2 Dot Sensitivity in Magnetic Material. 8.2.3 Numerical Examples. Appendix A. More Examples of Electrostatic System. A.1 Outer Boundary Design. A.2 Outer Boundary Design for System Energy. A.3 Interface Design. A.4 Interface Design for System Energy. Appendix B. More Examples of Magnetostatic System. B.1 Interface Design. B.2 Interface Design for System Energy.Appendix C. More Examples of Eddy Current System. C.1 Interface Design for System Power. Appendix D. More Examples of DC Conductor System. D.1 Outer Boundary Design for Joule Loss Power.
£116.99
Springer Verlag, Singapore Compact and Fast Machine Learning Accelerator for
Book SynopsisThis book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning, energy management and intrusion detection are also presented for smart buildings.Table of ContentsComputing on Edge Devices in Internet-of-things (IoT).- The Rise of Machine Learning in IoT system.- Least-squares-solver for Shadow Neural Network.- Tensor-solver for Deep Neural Network.- Distributed-solver for Networked Neural Network.- Conclusion.
£98.99
Springer Verlag, Singapore Introduction to Unconstrained Optimization with R
Book SynopsisThis book discusses unconstrained optimization with R—a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient methods, quasi-Newton methods, rank one correction formula, DFP method, BFGS method and their algorithms, convergence analysis, and proofs. Each method is accompanied by worked examples and R scripts. To help readers apply these methods in real-world situations, the book features a set of exercises at the end of each chapter. Primarily intended for graduate students of applied mathematics, operations research and statistics, it is also useful for students of mathematics, engineering, management, economics, and agriculture.Table of Contents1. Introduction.- 2. Mathematical Foundations.- 3. Basics of R.- 4. First Order and Second Order Necessary Conditions.- 5. One Dimensional Optimization Methods.- 6. Steepest Descent Method.- 7. Newton’s Method.- 8. Conjugate Direction Methods.- 9. Quasi-Newton Methods.
£40.49
Springer Verlag, Singapore Modeling, Simulation and Optimization:
Book SynopsisThis book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization, organized by National Institute of Technology, Silchar, Assam, India, during 3–5 August 2020. The book covers topics of modeling, simulation and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, modeling and simulation of energy system and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.Table of ContentsModelling and Forecasting of Solar Radiation Data: A Case Study.- Thermal Performance Study of Bamboo and Coal Co-Gasification in a Downdraft Gasifier.- Effects of Gurney Flap and Suction Slots on the Aerodynamics of a NACA0012 Airfoil.- Effects of Numerical Dissipation and Dispersion on Computing the Convection of a Sharp Scalar Cone.- Usage of Internet of Things in Home Automation Systems: A Review.- Dynamic Analysis of Rotating FRP composite Cantilever Beam.- On-line Tool Wear Monitoring Using Low-Cost Data Acquisition System and LabVIEWTM Program.- Product Priority Problem: A Multi-objective Optimization Approach for Product Development Based on Customers’ Priority.- Approximating Non-intersecting Closed Curves Through Four-Bar Linkage Mechanism.- Optimization of Crude Oil Preheating Process Using Evolutionary Algorithms.
£224.99
Springer Verlag, Singapore Optimization, Variational Analysis and
Book SynopsisThis book includes selected papers presented at the Indo-French Seminar on Optimization, Variational Analysis and Applications (IFSOVAA-2020), held at the Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi, India, from 2–4 February 2020. The book discusses current optimization problems and their solutions by using the powerful tool of variational analysis. Topics covered in this volume include set optimization, multiobjective optimization, mathematical programs with complementary, equilibrium, vanishing and switching constraints, copositive optimization, interval-valued optimization, sequential quadratic programming, bound-constrained optimization, variational inequalities, and more. Several applications in different branches of applied mathematics, engineering, economics, finance, and medical sciences have been included. Each chapter not only provides a detailed survey of the topic but also builds systematic theories and suitable algorithms to deduce the most recent findings in literature. This volume appeals to graduate students as well as researchers and practitioners in pure and applied mathematics and related fields that make use of variational analysis in solving optimization problems.Table of ContentsKhushboo and C. S. Lalitha, Linear and Pascoletti—Serafini Scalarizations in Unified Set Optimization.- N. K. Bisui, S. Mazumder and G. Panda, A Gradient Free Method for Multiobjective Optimization Problem.- J.-P. Dussault, T. Migot, M. Haddou, The New Butterfly Relaxation Method for Mathematical Programs with Complementarity Constraints.- S. K. Neogy and V. N. Mer, Copositive Optimization and its Applications in Graph Theory.- N Sharma, J. Bisht, and S. K. Mishra, Hermite-Hadamard type Inequalities for Functions whose Derivatives are Strongly-Convex via Fractional Integrals.- Q. H. Ansari, P. K. Sharma, Set Order Relations, Set Optimization and Ekeland’s Variational Principle.- A. K. Debnath and D. Ghosh, Characterizations and Generating Efficient Solutions to Interval Optimization Problems.- R. Sadhu, C. Nahak, S. P. Dash, Unconstrained Reformulation of Sequential Quadratic Programming and its Application in Convex Optimization.- P. Maréchal, A Note on Quadratic Penalties for Linear Ill-posed Problems: from Tikhonov Regularization to Mollification.- W. C. Simo Tao Lee.- A New Regularization Method for Linear Exponentially Ill-posed Problems.- V. Laha, H. N. Singh and S. K. Mishra, R. Kumar, On Minimax Programming with Vanishing Constraints.- B. B. Upadhyay and P. Mishra, On Minty Variational Principle for Nonsmooth Interval-Valued Multiobjective Programming Problems.- Y. Pandey, V. Singh, On Constraint Qualifications for Multiobjective Optimization Problems with Switching Constraints.- V. Kapoor and D. Nandan, Optimization of Physico-Chemical Parameters for the Production of Endoxylanase using Combined Response Surface Method and Genetic Algorithm.- A. Kaul, A. Gupta, S. Aggarwal, P. C. Jha, R. Ramanathan, Optimal Duration of Integrated Segment Specific and Mass Promotion Activities for Durable Technology Products: A Differential Evolution Approach.- M. Kumar, A Secure RGB Image Encryption Algorithm in Optimized Virtual Planet Domain.- J. D. Darbari, S. Sharma, M. C. Barrueta Pinto, Identification and Analysis of Key Sustainable Criteria for Third Party Reverse Logistics Provider Selection using the Best-Worst Method.- A. Gupta, N. Pachar, M. C. Barrueta Pinto, Efficiency Assessment through Peer Evaluation and Benchmarking: A Case Study of a Retail Chain using DEA.- R. K. Misra, D. Singh and A. Kumar, Spherical Search Algorithm: A Metaheuristic for Bound-Constrained Optimization.
£151.99
Springer Verlag, Singapore Smart and Intelligent Systems: Proceedings of SIS
Book SynopsisThis book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25–26, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals.Table of ContentsOptimal Sizing and Siting of Distributed Generation for Losses Minimization in Distribution System using Fractional Lévy Flight Bat Algorithm.- Performance Analysis of a Standalone Inverter System under Variable Loading Conditions.- Performance Study of a Wind-Battery based Islanding System.- Fabric Defect Detection Using Computer Vision.- Energy Audit and Advancement of Solar Installation in SIT: A Case Study.- Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network.- Feasibility Analysis of SEPIC Converter as a PV Balancer for Practical Photovoltaic System.- Market Clearing Mechanism by Optimal Scheduling of Electric Power Suppliers.- Anti Camcorder Piracy Display System.- Performance Evaluation of HAWT and VAWT based WECS with Advanced Hill Climb Search MPPT and Fuzzy Logic Controller for Low Wind Speed Regions.
£224.99
Springer Verlag, Singapore Emerging Frontiers in Operations and Supply Chain
Book SynopsisThis edited book addresses the challenges in managing the operations and supply chain of organizations in the era of internet of things and Industry 4.0. It presents cutting edge research on real world operations related problems, in-depth analyses, and relevant managerial implications. Wide variety of solution approaches such as quantitative, quantitative, and simulations are presented in the context of managing the operations and supply chains. Consisting of selected papers from the XXIII Annual International Conference of Society of Operations Management, this volume is part of a two volume series with the other book consisting of chapters on quantitative decision making. This edited book covers various quantitative models on operations and supply chain management such as inventory optimization, machine learning-operations research integrated model for healthcare systems, game-theoretic analysis of review strategies in truthful information sharing, design of contracts in supply chains, supply chain optimization, inventory routing, and shop floor scheduling. In addition to the quantitative models, several innovative heuristics are proposed for different problems. This book explores qualitative models on improving the performance of small and medium enterprises and petroleum industries and a simulation model for staff allocation in the information technology industry. Finally, this book provides review articles on vaccine supply chains and behavioral operations management.The book throws light on the emerging trends in the use of analytics, optimization, and simulation tools and empirical analysis to improve the performance of operations and supply chains of organizations. It will serve as an essential resource for practitioners, students, faculty members and scholars in operations management and related areas to gain knowledge and pursue high quality research on developments in areas such as managing the resource management and the solution methodology---innovative tools employed in addressing the real world problems and the different optimization techniques.Table of ContentsOptimization of Inventory and Transportation in Supply Chains.- Scheduling in Manufacturing and Service Systems.- Forecasting and Information Analysis in Supply Chains.- Soft Computing and Machine Learning Techniques and Applications in Operations and Supply Chain Management.- Logistics and Supply Chain Management in Healthcare Systems.- Applications of Game Theory and Revenue Management Principles in Supply Chain Management.
£125.99
Springer Verlag, Singapore Linear Programming Computation
Book SynopsisThis monograph represents a historic breakthrough in the field of linear programming (LP)since George Dantzig first discovered the simplex method in 1947. Being both thoughtful and informative, it focuses on reflecting and promoting the state of the art by highlighting new achievements in LP. This new edition is organized in two volumes. The first volume addresses foundations of LP, including the geometry of feasible region, the simplex method and its implementation, duality and the dual simplex method, the primal-dual simplex method, sensitivity analysis and parametric LP, the generalized simplex method, the decomposition method, the interior-point method and integer LP method. The second volume mainly introduces contributions of the author himself, such as efficient primal/dual pivot rules, primal/dual Phase-I methods, reduced/D-reduced simplex methods, the generalized reduced simplex method, primal/dual deficient-basis methods, primal/dual face methods, a new decomposition principle, etc.Many important improvements were made in this edition. The first volume includes new results, such as the mixed two-phase simplex algorithm, dual elimination, fresh pricing scheme for reduced cost, bilevel LP models and intercepting of optimal solution set. In particular, the chapter Integer LP Method was rewritten with great gains of the objective cutting for new ILP solvers {\it controlled-cutting/branch} methods, as well as with an attractive implementation of the controlled-branch method. In the second volume, the `simplex feasible-point algorithm' was rewritten, and removed from the chapter Pivotal Interior-Point Method to form an independent chapter with the new title `Simplex Interior-Point Method', as it represents a class of efficient interior-point algorithms transformed from traditional simplex algorithms. The title of the original chapter was then changed to `Facial Interior-Point Method', as the remaining algorithms represent another class of efficient interior-point algorithms transformed from normal interior-point algorithms. Without exploiting sparsity, the original primal/dual face methods were implemented using Cholesky factorization. In order to deal with sparse computation, two new chapters discussing LU factorization were added to the second volume. The most exciting improvement came from the rediscovery of the reduced simplex method. In the first edition, the derivation of its prototype was presented in a chapter with the same title, and then converted into the so-called `improved' version in another chapter. Fortunately, the author recently found a quite concise new derivation, so he can now introduce the distinctive fresh simplex method in a single chapter. It is exciting that the reduced simplex method can be expected to be the best LP solver ever.With a focus on computation, the current edition contains many novel ideas, theories and methods, supported by solid numerical results. Being clear and succinct, its content reveals in a fresh manner, from simple to profound. In particular, a larger number of examples were worked out to demonstrate algorithms. This book is a rare work in LP and an indispensable tool for undergraduate and graduate students, teachers, practitioners, and researchers in LP and related fields.Table of ContentsChapter 1. Introduction.- Chapter 2. Geometry of Feasible Region.- Chapter 3. Simplex Method.- Chapter 4. Implementation of Simplex Method.- Chapter 5. Duality Principle and Dual Simplex Method.- Chapter 6. Primal-Dual Simplex Method.- Chapter 7. Sensitivity Analysis and Parametric LP.- Chapter 8. Generalized Simplex Method.- Chapter 9. Decomposition Method.- Chapter 10. Interior-Point Method.- Chapter 11. Integer Linear Programming (ILP).- Chapter 12. Pivot Rule.- Chapter 13. Dual Pivot Rule.- Chapter 14. Simplex Phase-I Method.- Chapter 15. Dual Simplex Phase-l Method.- Chapter 16. Reduced Simplex Method.- Chapter 17. D-Reduced Simplex Method.- Chapter 18. Generalized Reduced Simplex Method.- Chapter 19. Deficient-Basis Method.- Chapter 20. Dual Decient-Basis Method.- Chapter 21. Face Method with Cholesky Factorization.- Chapter 22. Dual Face Method with Cholesky Factorization.- Chapter 23. Face Method with LU Factorization.- Chapter 24. Dual Face Method with LU Factorization.- Chapter 25. Simplex Interior-Point Method.- Chapter 26. Facial Interior-Point Method.- Chapter 27. Decomposition Principle.
£189.99
Springer Verlag, Singapore Fixed Point Theory and Fractional Calculus:
Book SynopsisThis book collects chapters on fixed-point theory and fractional calculus and their applications in science and engineering. It discusses state-of-the-art developments in these two areas through original new contributions from scientists across the world. It contains several useful tools and techniques to develop their skills and expertise in fixed-point theory and fractional calculus. New research directions are also indicated in chapters. This book is meant for graduate students and researchers willing to expand their knowledge in these areas. The minimum prerequisite for readers is the graduate-level knowledge of analysis, topology and functional analysis.Table of ContentsBest Proximity Points for Some Multivalued Contractive Mappings.- Best Proximity Point Theorems via Some Generalized Notions.- New Fixed-Figure Results on Metric Spaces.- Some Fixed Point Results for Suzuki F-Contractions Involving Quadratic Terms in Modular b-Metric Spaces.- Some Common Fixed Point Results via -Series for a Family of JS-Contraction-type Mappings.- Solution of Nonlinear First-Order Hybrid Integro-Differential Equations via Fixed Point Theorem.- Application of Darbo’s Fixed Point Theorem for Existence Result of Generalized 2D Functional Integral Equations.- Results on Generalized Tripled Fuzzy b-Metric Spaces.- A Novel Controlled Picture Fuzzy Metric Space and Some Related Fixed Point Results.- Theoretical Analysis for a Generalized Fractional-Order Boundary Value Problem.- On Well-posed Variational Problems Involving Multidimensional Integral Functionals.- On the Coupled System of Tempered Fractional Differential Equations with Anti-periodic Boundary Conditions.- Application of Measure of Noncompactness on the Infinite System of Hadamard Fractional Iintegral Equations.- Observability, Reachability, Trajectory Reachability and Optimal Reachability of Fractional Dynamical Systems using Riemann–Liouville Fractional Derivative.- Fractional Calculus Approach to Logistic Equation and its Applications.- Hermite–Hadamard Type Inequalities for Coordinated Quasi-Convex Functions via Generalized Fractional Integrals.- Leray–Schauder Theorem for Implicit Fractional Differential Equation and Nonlocal Multi-Point Conditions.- The q-Deformed Hamiltonian, Lagrangian, Entropy and Fisher Information.
£98.99
Springer Verlag, Singapore Distributed Computing and Optimization
Book SynopsisThis book introduces research presented at the International Conference on Distributed Computing and Optimization Techniques (ICDCOT–2021), a two-day conference, where researchers, engineers, and academicians from all over the world came together to share their experiences and findings on all aspects of distributed computing and its applications in diverse areas. The book includes papers on distributed computing, intelligent system, optimization method, mathematical modeling, fuzzy logic, neural networks, grid computing, load balancing, communication. It will be a valuable resource for students, academics, and practitioners in the industry working on distributed computing.Table of Contents1. 1T-1D Single-Ended SRAM Cell Design for Low Power Applications using CMOS technology.- 2. A Local Descriptor and Histogram of Oriented Gradients for Makeup Invariant Face Recognition under Uncontrolled Environment.- 3. A Preventive Framework for Mine Representatives Utilizing Remote Sensor Networks with Optimized Routing.- 4. A Quantitative Study of Image Fusion using Hybrid Approach.- 5. A Review on Smart Road Traffic Management System using LoRa WAN.- 6. A Road Side Unit Based Proxy Signature Scheme for Fast Verification of Messages in Vehicular Ad-Hoc Network.- 7. A Secure Data Transmission using AODV and Hash Function for MANET.- 8. A Study on Different Types of Convolutions in Deep Learning in the Area of Lane Detection.- 9. A Study on the Impact of DC Appliances and Direct DC Power System in India.- 10. A Survey on Vehicle Detection and Classification for Electronic Toll Collection Applications
£116.99
Springer Verlag, Singapore Butterfly Optimization Algorithm: Theory and
Book SynopsisThis book presents theory and applications of recently introduced butterfly optimization algorithm (BOA). It also highlights hybridization process in the basic structure of BOA with in-depth analysis of complexity. This book also describes the constraint handling process. The newly introduced variant is implemented and validated on a set of linear and nonlinear real works problems of engineering and pulp and paper industry. The simulated results are compared with most of the basic algorithms. Comparative and nonparametric statistical result analysis illustrates the efficacy of the algorithm. Table of ContentsButterfly Optimization Algorithm.- Differential Butterfly Optimization Algorithm - A hybrid variant.- Application of DBOA in Structural Engineering Design Problems.- Application of DBOA in Pulp & Paper Process Optimization.- Conclusion and Future Directions.
£37.99
Springer Verlag, Singapore Performance Optimization of Fault Diagnosis
Book SynopsisThis book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of electrical engineers and scientists. Pursuing a holistic approach to improve the accuracy and efficiency of existing methods, the underlying concepts toward several algorithms are introduced and then further applied in various situations for fault diagnosis of power systems in this book. The primary audience for the book would be the scholars and graduate students whose research topics including the control theory, applied mathematics, fault detection, and so on.Table of Contents- Chapter 1 Introduction.- Chapter 2 Fault Diagnosis of Variable Pitch for Wind Turbine Based on Multi-innovation Forgetting Gradient Identification Algorithm.- Chapter 3 Active Fault-tolerant Linear Parameter Varying Control for the Pitch Actuator of Wind Turbines.- Chapter 4 Fault Estimation and Fault-tolerant Control of Wind Turbines Using the SDW-LSI Algorithm.- Chapter 5 A New Fault Diagnosis Approach for the Pitch System of Wind Turbines.- Chapter 6 A dual-threshold state analysis and fault location method for power system based on random matrix theory.- Chapter 7 Analysis of grid operation state based on improved MESCM algorithm.- Chapter 8 Joint Weighted Domain Adaptation Network for Bearing Fault Diagnosis under Different Working Conditions.- Chapter 9 ANS-net: anti-noise Siamese network for bearing fault diagnosis with a few data.- Chapter 10 Fault Diagnosis of Rolling Bearing Based on Edge Calculation.
£80.99
Springer Verlag, Singapore Essays on Pareto Optimality in Cooperative Games
Book SynopsisThe book focuses on Pareto optimality in cooperative games. Most of the existing works focus on the Pareto optimality of deterministic continuous-time systems or for the regular convex LQ case. To expand on the available literature, we explore the existence conditions of Pareto solutions in stochastic differential game for more general cases. In addition, the LQ Pareto game for stochastic singular systems, Pareto-based guaranteed cost control for uncertain mean-field stochastic systems, and the existence conditions of Pareto solutions in cooperative difference game are also studied in detail. Addressing Pareto optimality for more general cases and wider systems is one of the major features of the book, making it particularly suitable for readers who are interested in multi-objective optimal control. Accordingly, it offers a valuable asset for researchers, engineers, and graduate students in the fields of control theory and control engineering, economics, management science, mathematics, etc.Trade Review“The book provides a concise, clear summary of its subject matter. It will be a valuable reference for researchers looking to apply models of cooperative dynamic games in their work.” (Thomas Wiseman, zbMATH 1519.91003, 2023)Table of ContentsIntroduction.- Existence conditions of Pareto solutions in the finite horizon stochastic differential game.- Existence conditions of Pareto solutions in the infinite horizon stochastic differential game.- LQ Pareto game of the stochastic singular systems in finite horizon.- LQ Pareto game of the stochastic singular systems in infinite horizon.- Pareto-based guaranteed cost control of the uncertain mean-field stochastic systems.- Existence conditions of Pareto solutions in the finite horizon cooperative difference game.- Existence conditions of Pareto solutions in the infinite horizon cooperative difference game.- References.
£80.99
Springer Verlag, Singapore Applications of Operational Research in Business
Book SynopsisEffective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals.The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.Table of ContentsChapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy.- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model.- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response.- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment.- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution.
£134.99
Springer Verlag, Singapore Sine Cosine Algorithm for Optimization
Book SynopsisThis open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA.Table of ContentsIntroduction.- Sine Cosine Algorithm.- Sine Cosine Algorithm for Multi-Objective Optimization.- Sine Cosine Algorithm for Discrete Optimization Problems.- Advancements in the Sine Cosine Algorithm.- Conclusion and Further Research Directions.
£23.74
World Scientific Publishing Co Pte Ltd Mathematical Theory Of Adaptive Control
Book SynopsisThe theory of adaptive control is concerned with construction of strategies so that the controlled system behaves in a desirable way, without assuming the complete knowledge of the system. The models considered in this comprehensive book are of Markovian type. Both partial observation and partial information cases are analyzed. While the book focuses on discrete time models, continuous time ones are considered in the final chapter. The book provides a novel perspective by summarizing results on adaptive control obtained in the Soviet Union, which are not well known in the West. Comments on the interplay between the Russian and Western methods are also included.Trade Review"This book is addressed both to students with a good mathematical background and to researchers and specialists in adaptive control who may find the book inspirational." Mathematical ReviewsTable of Contents# Basic Notions and Definitions # Real-Valued HPIV with Finite Number of Controls: Automaton Approach # Stochastic Approximation # Minimax Adaptive Control # Controlled Finite Homogeneous Markov Chains # Control of Partially Observable Markov Chains and Regenerative Processes # Control of Markov Processes with Discrete Time and Semi-Markov Processes # Control of Stationary Processes # Finite-Converging Procedures for Control Problems with Inequalities # Control of Linear Difference Equations # Control of Ordinary Differential Equations # Control of Stochastic Differential Equations
£143.10
World Scientific Publishing Co Pte Ltd Dynamics Of Mechatronics Systems: Modeling,
Book SynopsisThis book describes the interplay of mechanics, electronics, electrotechnics, automation and biomechanics. It provides a broad overview of mechatronics systems ranging from modeling and dimensional analysis, and an overview of magnetic, electromagnetic and piezo-electric phenomena. It also includes the investigation of the pneumo-fluid-mechanical, as well as electrohydraulic servo systems, modeling of dynamics of an atom/particle embedded in the magnetic field, integrity aspects of the Maxwell's equations, the selected optimization problems of angular velocity control of a DC motor subjected to chaotic disturbances with and without stick-slip dynamics, and the analysis of a human chest adjacent to the elastic backrest aimed at controlling force to minimize relative compression of the chest employing the LQR.This book provides a theoretical background on the analysis of various kinds of mechatronics systems, along with their computational analysis, control, optimization as well as laboratory investigations.
£103.50
World Scientific Publishing Co Pte Ltd Optimization Of Structural And Mechanical Systems
Book SynopsisComputational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems.Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested.
£57.00
World Scientific Publishing Co Pte Ltd Optimization Theory: A Concise Introduction
Book SynopsisMathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method.A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization.
£66.50
World Scientific Publishing Co Pte Ltd Nonlinear Algebra In An Acorn: With Applications
Book SynopsisA simple algorithm for solving a set of nonlinear equations by matrix algebra has been discovered recently — first by transforming them into an equivalent matrix equation and then finding the solution analytically in terms of the inverse matrix of this equation. With this newly developed ACORN (Adaptive Constrained Optimal Robust Nonlinear) algorithm, it is possible to minimize the objective function [constructed from the functions in the nonlinear set of equations] without computing its derivatives.This book will present the details of ACORN algorithm and how it is used to solve large scale nonlinear equations with an innovative approach ACORN Magic [minimization algorithms gathered in a cloud].The ultimate motivation of this work is its application to optimization. In recent years, with the advances in big-data, optimization becomes an even more powerful tool in knowledge discovery. ACORN Magic is the perfect choice in this kind of application because of that fact that it is fast, robust and simple enough to be embedded in any type of machine learning program.
£42.75
World Scientific Publishing Co Pte Ltd New Trends In Control Theory
Book SynopsisNew Trends in Control Theory is a graduate-level monographic textbook. It is a contemporary overview of modern trends in control theory. The introductory chapter gives the geometrical and quantum background, which is a necessary minimum for comprehensive reading of the book. The second chapter gives the basics of classical control theory, both linear and nonlinear. The third chapter shows the key role that Euclidean group of rigid motions plays in modern robotics and biomechanics. The fourth chapter gives an overview of modern quantum control, from both theoretical and measurement perspectives. The fifth chapter presents modern control and synchronization methods in complex systems and human crowds. The appendix provides the rest of the background material complementary to the introductory chapter.The book is designed as a one-semester course for engineers, applied mathematicians, computer scientists and physicists, both in industry and academia. It includes a most relevant bibliography on the subject and detailed index.Table of ContentsIntroduction; Basics of Classical Control Theory; Euclidean Group on Modern Robotics and Biomechanics; Quantum Control: Theory and Measurement; Control and Synchronization in Complex Systems and Human Crowds.
£211.50
World Scientific Publishing Co Pte Ltd Stochastic Simulation Optimization For Discrete
Book SynopsisDiscrete event systems (DES) have become pervasive in our daily lives. Examples include (but are not restricted to) manufacturing and supply chains, transportation, healthcare, call centers, and financial engineering. However, due to their complexities that often involve millions or even billions of events with many variables and constraints, modeling these stochastic simulations has long been a “hard nut to crack”. The advance in available computer technology, especially of cluster and cloud computing, has paved the way for the realization of a number of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and developed by Professor Y C Ho and his team; namely perturbation analysis and ordinal optimization for stochastic simulation optimization, and present the state-of-the-art technology, and their future research directions.Table of ContentsPart I: Perturbation Analysis: IPA Calculus for Hybrid Systems; Smoothed Perturbation Analysis: A Retrospective and Prospective Look; Perturbation Analysis and Variance Reduction in Monte Carlo Simulation; Adjoints and Averaging; Infinitesimal Perturbation Analysis in On-Line Optimization; Simulation-based Optimization of Failure-Prone Continuous Flow Lines; Perturbation Analysis, Dynamic Programming, and Beyond; Part II: Ordinal Optimization : Fundamentals of Ordinal Optimization; Optimal Computing Budget Allocation; Nested Partitions; Applications of Ordinal Optimization.
£76.95
World Scientific Publishing Co Pte Ltd Advances In Combinatorial Optimization: Linear
Book SynopsisCombinational optimization (CO) is a topic in applied mathematics, decision science and computer science that consists of finding the best solution from a non-exhaustive search. CO is related to disciplines such as computational complexity theory and algorithm theory, and has important applications in fields such as operations research/management science, artificial intelligence, machine learning, and software engineering.Advances in Combinatorial Optimization presents a generalized framework for formulating hard combinatorial optimization problems (COPs) as polynomial sized linear programs. Though developed based on the 'traveling salesman problem' (TSP), the framework allows for the formulating of many of the well-known NP-Complete COPs directly (without the need to reduce them to other COPs) as linear programs, and demonstrates the same for three other problems (e.g. the 'vertex coloring problem' (VCP)). This work also represents a proof of the equality of the complexity classes 'P' (polynomial time) and 'NP' (nondeterministic polynomial time), and makes a contribution to the theory and application of 'extended formulations' (EFs).On a whole, Advances in Combinatorial Optimization offers new modeling and solution perspectives which will be useful to professionals, graduate students and researchers who are either involved in routing, scheduling and sequencing decision-making in particular, or in dealing with the theory of computing in general.
£83.60
Springer Verlag, Singapore Modeling Calcium Signaling
Book SynopsisThis book focuses on the fundamental processes involved in calcium signaling through fractional mathematical modeling.
£31.49
Springer Intelligent Optimization
Book SynopsisThis textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses. It remains equally valuable for active researchers and individuals engaged in self-study. Serving as a significant reference, it delves into advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization. Designed to be approachable and inclusive, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization. It employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization. With a focus on practicality, th
£49.49
World Scientific Publishing Co Pte Ltd Continuous Optimization For Data Science
Book Synopsis
£55.25
World Scientific Publishing Co Pte Ltd Game Theory Explained A Mathematical Introduction
Book Synopsis
£42.75
Springer Verlag, Singapore Artificial Intelligence Applications in Banking
Book SynopsisThis book discusses all aspects of money laundering, starting from traditional approach to financial crimes to artificial intelligence-enabled solutions. It also discusses the regulators approach to curb financial crimes and how syndication among financial institutions can create a robust ecosystem for monitoring and managing financial crimes. It opens with an introduction to financial crimes for a financial institution, the context of financial crimes, and its various participants. Various types of money laundering, terrorist financing, and dealing with watch list entities are also part of the discussion. Through its twelve chapters, the book provides an overview of ways in which financial institutions deal with financial crimes; various IT solutions for monitoring and managing financial crimes; data organization and governance in the financial crimes context; machine learning and artificial intelligence (AI) in financial crimes; customer-level transaction monitoring system; machine learning-driven alert optimization; AML investigation; bias and ethical pitfalls in machine learning; and enterprise-level AI-driven Financial Crime Investigation (FCI) unit. There is also an Appendix which contains a detailed review of various data sciences approaches that are popular among practitioners.The book discusses each topic through real-life experiences. It also leverages the experience of Chief Compliance Officers of some large organizations to showcase real challenges that heads of large organizations face while dealing with this sensitive topic. It thus delivers a hands-on guide for setting up, managing, and transforming into a best-in-class financial crimes management unit. It is thus an invaluable resource for researchers, students, corporates, and industry watchers alike.Table of ContentsChapter 1: Introduction to financial crimes and its participants.- Chapter 2: Anti financial crimes organization overview in a financial institution.- Chapter 3: Financial institutions approach to curbing and mitigating financial crimes.- Chapter 4: IT solutions for monitoring and managing financial crimes.- Chapter 5: Typical challenges faced by AML and compliance divisions.- Chapter 6: Applications of artificial intelligence and digitization in financial crimes.- Chapter 7: Data organization and governance in financial crimes.- Chapter 8: Machine learning approach to customer due diligence and watchlist monitoring.- Chapter 9: Applying machine learning for transaction monitoring to optimize false positives.- Chapter 10: application of network analysis to further improve detection of financial crimes.- Chapter 11: AML investigation and application of digitization and machine learning for saving investigation time.- Chapter 12: Futuristic enterprise level AI driven Financial Crime Investigation unit (FCU) for a financial institution.
£62.99
