Mathematical modelling Books
ISTE Ltd and John Wiley & Sons Inc Data Uncertainty and Important Measures
Book SynopsisThe first part of the book defines the concept of uncertainties and the mathematical frameworks that will be used for uncertainty modeling. The application to system reliability assessment illustrates the concept. In the second part, evidential networks as a new tool to model uncertainty in reliability and risk analysis is proposed and described. Then it is applied on SIS performance assessment and in risk analysis of a heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context of uncertainties.Table of ContentsContents xi Foreword xiii Acknowledgments xiii Chapter 1 Why and Where Uncertainties 1 1.1 Sources and forms of uncertainty 1 1.2 Types of uncertainty 3 1.3 Sources of uncertainty 3 1.4 Conclusion 6 Chapter 2 Models and Language of Uncertainty 9 2.1 Introduction 9 2.2 Probability theory 11 2.2.1 Interpretations 11 2.2.2 Fundamental notions 13 2.2.3 Discussion 15 2.3 Belief functions theory 15 2.3.1 Representation of beliefs 16 2.3.2 Combination rules 18 2.3.3 Extension and marginalization 20 2.3.4 Pignistic transformation 20 2.3.5 Discussion 21 2.4 Fuzzy set theory 21 2.4.1 Basic definitions 22 2.4.2 Operations on fuzzy sets 22 2.4.3 Fuzzy relations 23 2.5 Fuzzy arithmetic 25 2.5.1 Fuzzy numbers 26 2.5.2 Fuzzy probabilities 28 2.5.3 Discussion 29 2.6 Possibility theory 29 2.6.1 Definitions 30 2.6.2 Possibility and necessity measures 30 2.6.3 Operations on possibility and necessity measures 32 2.7 Random set theory 32 2.7.1 Basic definitions 33 2.7.2 Expectation of random sets 34 2.7.3 Random intervals 35 2.7.4 Confidence interval 35 2.7.5 Discussion 36 2.8 Confidence structures or c-boxes 36 2.8.1 Basic notions 36 2.8.2 Confidence distributions 37 2.8.3 P-boxes and C-boxes 38 2.8.4 Discussion 40 2.9 Imprecise probability theory 40 2.9.1 Definitions 41 2.9.2 Basic properties 42 2.9.3 Discussion 44 2.10 Conclusion 44 Chapter 3 Risk Graphs and Risk Matrices: Application of Fuzzy Sets and Belief Reasoning 47 3.1 SIL allocation scheme 48 3.1.1 Safety instrumented systems (SIS) 48 3.1.2 Conformity to standards ANSI/ISA S84.01-1996 and IEC 61508 49 3.1.3 Taxonomy of risk/SIL assessment methods 50 3.1.4 Risk assessment 50 3.1.5 SIL allocation process 52 3.1.6 The use of experts’ opinions 53 3.2 SIL allocation based on possibility theory 54 3.2.1 Eliciting the experts’ opinions 54 3.2.2 Rating scales for parameters 55 3.2.3 Subjective elicitation of the risk parameters 56 3.2.4 Calibration of experts’ opinions 59 3.2.5 Aggregation of the opinions 61 3.3 Fuzzy risk graph 65 3.3.1 Input fuzzy partition and fuzzification 65 3.3.2 Risk/SIL graph logic by fuzzy inference system 66 3.3.3 Output fuzzy partition and defuzzification 67 3.3.4 Illustration case 69 3.4 Risk/SIL graph: belief functions reasoning 72 3.4.1 Elicitation of expert opinions in the belief functions theory 72 3.4.2 Aggregation of expert opinions 73 3.5 Evidential risk graph 75 3.6 Numerical illustration 77 3.6.1 Clustering of experts’ opinions 77 3.6.2 Aggregation of preferences 78 3.6.3 Evidential risk/SIL graph 79 3.7 Conclusion 81 Chapter 4 Dependability Assessment Considering Interval-valued Probabilities 83 4.1 Interval arithmetic 84 4.1.1 Interval-valued parameters 84 4.1.2 Interval-valued reliability 85 4.1.3 Assessing the imprecise average probability of failure on demand 86 4.2 Constraint arithmetic 90 4.3 Fuzzy arithmetic 93 4.3.1 Application example 95 4.3.2 Monte Carlo sampling approach 97 4.4 Discussion 99 4.4.1 Markov chains 100 4.4.2 Multiphase Markov chains 101 4.4.3 Markov chains with fuzzy numbers 102 4.4.4 Fuzzy modeling of SIS characteristic parameters 104 4.5 Illustration 105 4.5.1 Epistemic approach 106 4.5.2 Enhanced Markov analysis 113 4.6 Decision-making under uncertainty 115 4.7 Conclusion 117 Chapter 5 Evidential Networks 119 5.1 Main concepts 119 5.1.1 Temporal dimension 121 5.1.2 Computing believe and plausibility measures as bounds 123 5.1.3 Inference 124 5.1.4 Modeling imprecision and ignorance in nodes 126 5.1.5 Conclusion 128 5.2 Evidential Network to model and compute Fuzzy probabilities 128 5.2.1 Fuzzy probability and basic probability assignment 128 5.2.2 Nested interval-valued probabilities to fuzzy probability 129 5.2.3 Computation mechanism 130 5.3 Evidential Networks to compute p-box 131 5.3.1 Connection between p-boxes and BPA 132 5.3.2 P-boxes and interval-valued probabilities 133 5.3.3 P-boxes and precise probabilities 133 5.3.4 Time-dependent p-boxes 134 5.3.5 Computation mechanism 134 5.4 Modeling some reliability problems 136 5.4.1 BPA for reliability problems 136 5.4.2 Building Boolean CMT (AND, OR) 137 5.4.3 Conditional mass table for more than two inputs (k-out-of-n:G gate) 138 5.4.4 Nodes for Pls and Bel in the binary case 140 5.4.5 Modeling reliability with p-boxes 140 5.5 Illustration by application of Evidential Networks 145 5.5.1 Reliability assessment of system 145 5.5.2 Inference for failure isolation 153 5.5.3 Assessing the fuzzy reliability of systems 155 5.5.4 Assessing the p-box reliability by EN 162 5.6 Conclusion 169 Chapter 6 Reliability Uncertainty and Importance Factors 171 6.1 Introduction 171 6.2 Hypothesis and notation 173 6.3 Probabilistic importance measures of components 174 6.3.1 Birnbaum importance measure 175 6.3.2 Component criticality measure 176 6.3.3 Diagnostic importance measure 176 6.3.4 Reliability achievement worth (RAW) 177 6.3.5 Reliability reduction worth (RRW) 177 6.3.6 Observations and limitations 178 6.3.7 Importance measures computation 179 6.4 Probabilistic importance measures of pairs and groups of components 179 6.4.1 Measures on minimum cutsets/pathsets/groups 181 6.4.2 Extension of RAW and RRW to pairs 182 6.4.3 Joint reliability importance factor (JR) 182 6.5 Uncertainty importance measures 184 6.5.1 Uncertainty probabilistic importance measures 184 6.5.2 Importance factors with imprecision 186 6.6 Importance measures with fuzzy probabilities 188 6.6.1 Fuzzy importance measures 189 6.6.2 Fuzzy uncertainty measures 190 6.7 Illustration 191 6.7.1 Importance factors on a simple system 192 6.7.2 Importance factors in a complex case 195 6.7.3 Illustration of group importance measures 197 6.7.4 Uncertainty importance factors 200 6.7.5 Fuzzy importance measures 203 6.8 Conclusion 206 Conclusion 207 Bibliography 211 Index 225
£125.06
Edward Elgar Publishing Ltd Game Theory and International Relations:
Book SynopsisWhat is the origin of game preferences and payoffs, how are they aggregated and what are the implications of interdependent preferences? What is the importance of information for building game models? How can game models be used to analyse empirical cases? At the cutting edge of current modelling in international relations using non-cooperative game theory, this collection of original contributions from political scientists and economists explores some of the fundamental assumptions of game theory modelling. It includes a theory of game payoff formation, a theory of preference aggregation, thorough discussions of the effects of interdependence between preferences upon various game structures, in-depth analyses of the impact of incomplete information upon dynamic games of negotiation, and a study using differential games. Numerous illustrations, case studies and comparative case studies show the relevance of the theoretical debate. The chapters are organised to allow readers with a limited knowledge of game theory to develop their understanding of the fundamental issues.Containing theoretical discussion of the basic game theory assumptions - as well as means of going beyond them - Game Theory and International Relations will be welcomed by all those interested in the empirical application of game theory models in international relations.Trade Review” -- `Table of ContentsContents: Introduction Part I: Preference Formation and Aggregation Part II: Interdependent Preferences and Rational Choice Part III: Dynamic Games and Information Index
£107.00
Springer Nature Switzerland AG Optimization in Large Scale Problems: Industry
Book SynopsisThis volume provides resourceful thinking and insightful management solutions to the many challenges that decision makers face in their predictions, preparations, and implementations of the key elements that our societies and industries need to take as they move toward digitalization and smartness. The discussions within the book aim to uncover the sources of large-scale problems in socio-industrial dilemmas, and the theories that can support these challenges. How theories might also transition to real applications is another question that this book aims to uncover. In answer to the viewpoints expressed by several practitioners and academicians, this book aims to provide both a learning platform which spotlights open questions with related case studies. The relationship between Industry 4.0 and Society 5.0 provides the basis for the expert contributions in this book, highlighting the uses of analytical methods such as mathematical optimization, heuristic methods, decomposition methods, stochastic optimization, and more. The book will prove useful to researchers, students, and engineers in different domains who encounter large scale optimization problems and will encourage them to undertake research in this timely and practical field. The book splits into two parts. The first part covers a general perspective and challenges in a smart society and in industry. The second part covers several case studies and solutions from the operations research perspective for large scale challenges specific to various industry and society related phenomena.Table of ContentsPart 1.- Risk Based Optimization of Integrated Fabrication/Fulfillment Supply Chains (Nasim Nezamoddini, Faisal Aqlan, Amirhosein Gholami).- μθ-EGF: A New Multi-Thread Implementation Algorithm for the Packing Problem inspired by Electromagnetic Fields and Gravitational Effects (Felix Martinez-Rios and Jose Antonio Marmolejo-Saucedo).- The Vector Optimization Method for Solving Integer Linear Programming Problems. Application for the Unit Commitment Problem in Electrical Power Production (Lenar Nizamov).- An Outer Approximation Algorithm for Capacitated Disassembly Scheduling Problem with Parts Commonality and Random Demand (Kanglin Liu, MengWang, Zhi-Hai Zhang),- Multi-Tree Decomposition Methods for Large-Scale Mixed Integer Nonlinear Optimization (Ivo Nowak, Pavlo Muts, and Eligius M.T. Hendrix).- An Embarrassingly Parallel Method for Large-Scale Stochastic Programs (Burhaneddin Sandıkçı and Osman Y. Özaltın).- Part 2.- How to Effectively Train Large Scale Machines (Avan Samareh, Mahshid Salemi Parizi).- A Graph Search Algorithm for Solving Large Scale Median Problems on Real Road Networks (Saeed Ghanbartehrania, J. David Porterb, Mahnoush Samadi Dinania).- Solving Large Scale Optimization Problems in the Transportation Industry and Beyond through Column Generation (Yanqi Xu).- Dynamic Energy Management (Nicholas Moehle, Enzo Busseti, Stephen Boyd, and Matt Wytock).- An Approximation-Based Approach for Chance-Constrained Vehicle Routing and Air Traffic Control Problems (Lijian Chen).- Algorithmic Mechanism Design for Collaboration in Large-scale Transportation Networks (Minghui Lai and Xiaoqiang Cai).- Kantorovich-Rubinstein Distance Minimization: Application to Location Problems (Viktor Kuzmenko, Stan Uryasev).
£79.99
Springer Nature Switzerland AG Recent Developments in Mathematical, Statistical
Book SynopsisThis book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences. It presents original solutions to real-world problems, emphasizes the coordinated development of theories and applications, and promotes interdisciplinary collaboration among mathematicians, statisticians, and researchers in other disciplines.Based on a highly successful meeting, the International Conference on Applied Mathematics, Modeling and Computational Science, AMMCS 2019, held from August 18 to 23, 2019, on the main campus of Wilfrid Laurier University, Waterloo, Canada, the contributions are the results of submissions from the conference participants. They provide readers with a broader view of the methods, ideas and tools used in mathematical, statistical and computational sciences.Table of ContentsS. M. Dastjerdi, A. HormoziNejad, K. Gharali and J. Nathwani, Numerical investigation of VAWT airfoil shapes on power extraction and self-starting purposes.- O. Abu and I. I. Ayogu, An Optimal Control Strategy for a Malaria Model.- L. Feng and X. Wang, Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks.- M. Rezaeian, M. Soltani and F. M. Kashkooli, On the modeling of drug delivery to solid tumors; computational viewpoint.- A. F. Ivanov and Z. A. Dzalilov, Oscillations and Periodic Solutions in a Two-Dimensional Differential Delay Model.- K. R. Green and R. J. Spiteri, Solving cardiac bidomain problems with B-spline adaptive collocation.- A. Sowa, Toral diffeomorphisms induce quantum superoperators via TAQS.- N. Mudalige, BOLD.R: A software package to interface with BOLD through R.- E. I. Verriest, Properties of the Zeros of the Scale-Delay Equation and Its Time-Variant ODE Realization .- M. Ashrafizaadeh, A. Ghavaminia, Development of a lattice Boltzmann model for the solution of partial differential equations, A performance comparison study with that of the finite difference method.- M. Ashrafizaadeh, F. Gharibi and S. M. Khatoonabadi, An extended pseudo potential multiphase lattice Boltzmann model with variable viscosity ratio.- M. Ahmed and S. A. Campbell, Effect of genetic defects in a cortical circuit model associated with childhood absence epilepsy.- P. C. Jentsch and C. L. Nehaniv, Exploring Tetris as a Transformation Semigroup.- W. M. Abdullah, S. Hossain and M. A. Khan, Covering Large Complex Networks by Cliques - A Sparse Matrix Approach.- T. Migot and Monica-G. Cojocaru, Revisiting Path-Following to Solve the Generalized Nash Equilibrium Problem.- H. Shaheen, R. Melnik and S. Singh, Analysis of Cortical Spreading Depression in Brian with Multiscale Mathematical Models.- M. Syed Usama and N. A. Malik, A Comparison of Turbulence Generated by 3DS Sparse Grids With Different Blockage Ratios and Different Co-Frame Arrangements.- R. Fallahpour and R. Melnik, Numerical Analysis of Nanowire Resonators for Ultra-High Resolution Mass Sensing in Biomedical Applications.- I. Farahbakhsh and C. L. Nehaniv, Spatial Iterated Prisoner’s Dilemma as a Transformation Semigroup.- L. Graham, M. Demers, Applying Neural Networks to a Fractal Inverse Problem.- D. St Jean, H. Kunze and D. Gillis.- Evaluating a logistic k-mer based model for classifying CO1 sequences of C. clupeaformis.- A. Egri-Nagy and C. L. Nehaniv, A Bestiary of Transformation Semigroups for the Holonomy Decomposition.- R. Xu and R. N. Makarov, High-Frequency Statistical Modelling for Jump-Diffusion Multi-Asset Price Processes with a Systemic Component.- M. M. Mukhopadhyay and R. N. Makarov, Calibration and Analysis of Structural Credit Risk Models with Occupation Time.- N. Mattia Marazzi, V. H. Huxley, R. Sacco and G. Guidoboni, Quantitative study of the coupling among cardiovascular system, lymphatic system and interstitial space.
£104.99
Springer Nature Switzerland AG Mathematical Descriptions of Traffic Flow: Micro,
Book SynopsisThe book originates from the mini-symposium "Mathematical descriptions of traffic flow: micro, macro and kinetic models" organised by the editors within the ICIAM 2019 Congress held in Valencia, Spain, in July 2019. The book is composed of five chapters, which address new research lines in the mathematical modelling of vehicular traffic, at the cutting edge of contemporary research, including traffic automation by means of autonomous vehicles. The contributions span the three most representative scales of mathematical modelling: the microscopic scale of particles, the mesoscopic scale of statistical kinetic description and the macroscopic scale of partial differential equations.The work is addressed to researchers in the field.Table of ContentsM. Herty et al., Reconstruction of traffic speed distributions from kinetic models with uncertainties.- M. Herty et al., From kinetic to macroscopic models and back.- R. Ramadan et al., Structural Properties of the Stability of Jamitons.- C. Balzotti and E. Iacomini, Stop-and-go waves: A Microscopic and a Macroscopic Description.- F. A. Chiarello, An overview of non-local traffic flow models.
£87.99
Springer Nature Switzerland AG Wavelets in Neuroscience
Book SynopsisThis book illustrates how modern mathematical wavelet transform techniques offer fresh insights into the complex behavior of neural systems at different levels: from the microscopic dynamics of individual cells to the macroscopic behavior of large neural networks. It also demonstrates how and where wavelet-based mathematical tools can provide an advantage over classical approaches used in neuroscience. The authors well describe single neuron and populational neural recordings.This 2nd edition discusses novel areas and significant advances resulting from experimental techniques and computational approaches developed since 2015, and includes three new topics:• Detection of fEPSPs in multielectrode LFPs recordings.• Analysis of Visual Sensory Processing in the Brain and BCI for Human Attention Control;• Analysis and Real-time Classification of Motor-related EEG Patterns;The book is a valuable resource for neurophysiologists and physicists familiar with nonlinear dynamical systems and data processing, as well as for graduate students specializing in these and related areas.Table of ContentsMathematical Methods of Signal Processing in Neuroscience.- Brief Tour of Wavelet Theory.- Analysis of Single Neuron Recordings.- Classification of Neuronal Spikes from Extracellular Recordings.- Analysis of Gamma-Waves in Multielectrode LFP Recordings.- Wavelet Approach to the Study of Rhythmic Neuronal Activity.- Wavelet-based Approach to Epilepsy.- Analysis of Visual Sensory Processing in the Brain and Brain-Computer Interfaces for Human Attention Control.- Analysis and Real-Time Classification of Motor-related EEG and MEG Patterns.- Conclusion.
£132.99
Springer Nature Switzerland AG Perspectives in Dynamical Systems II:
Book SynopsisThis volume is part of collection of contributions devoted to analytical and experimental techniques of dynamical systems, presented at the 15th International Conference “Dynamical Systems: Theory and Applications”, held in Łódź, Poland on December 2-5, 2019. The wide selection of material has been divided into three volumes, each focusing on a different field of applications of dynamical systems.The broadly outlined focus of both the conference and these books includes bifurcations and chaos in dynamical systems, asymptotic methods in nonlinear dynamics, dynamics in life sciences and bioengineering, original numerical methods of vibration analysis, control in dynamical systems, optimization problems in applied sciences, stability of dynamical systems, experimental and industrial studies, vibrations of lumped and continuous systems, non-smooth systems, engineering systems and differential equations, mathematical approaches to dynamical systems, and mechatronics.Table of ContentsNonlinear modelling and control of self-balancing human transporter (Makkar).- Nonlinear tourist flows in Barcelona (Trullols).- Convergence of dual infinity series (Klimenda).- Full spectrum analysis for studying the backward whirl in accelerated rotor systems (Alshudeifat).- Switched Reluctance Motor dynamic eccentricity modelling (Lorencki).- Harmonic transfer path analysis of a wine refrigerator (Hörtnagel).- Risk related prediction for recurrent stroke and post-stroke epilepsy using Fractional Fourier Transform analysis of EEG signals (Dulf).- Chaos, bifurcations and strange attractors in environmental radioactivity dynamics of some geosystems (Ternovsky).- Dynamics of chains as a tool to study thermomechanical properties of proteins (Weber).- Evaluation of the crane’s actuators strength based on the results obtained from dynamics model (Urbaś).- Nonlinear dynamics of atomic and molecular systems in an electromagnetic field: Deterministic chaos and strange attractors (Glushkov).- Deterministic chaos, bifurcations and strange attractors in nonlinear dynamics of relativistic backward-wave tube (Ternovsky).- Detection of chaotic behavior of the dynamical system using methods of deformable active contours (Ruchkin).- Dynamics of sensing element of micro- and nanoelectromechanical sensors as anisotropic size-dependent plate (Barulina).- Dynamic analysis and damage of composite layered plates reinforced by unidirectional fibers subjected low velocity impact (Soukup).- Identification of nonlinear joint interface parameters using instantaneous power flow balance approach (Rajan).- Numerical procedure for sensitivity analysis of hybrid systems (Pytlak).- Asymptotic stability of fractional variable order discrete-time equations with terms of convolution operators (Mozyrska).- Dynamics of circular plates under selected heat loadings (Doneva).- A Rulkov neuronal model with Caputo fractional variable-order differences of convolution type (Mozyrska).- Electrostatically actuated initially curved micro beams: analytical and finite element modelling (Mozhgova).- Numerical and analytical investigation of chatter suppression by parametric excitation (Dohnal).- Nonlinear study of a pneumatic artificial muscle (PAM) under superharmonic resonance condition using method of multiple scales (Kalita).- Two-mode long-wave low-frequency approximations for anti-plane shear deformation of a high-contrast asymmetric laminate (Kaplunov).- A study on the coefficient of restitution effect on single-sided vibro-impact nonlinear energy sink (Saeed).
£119.99
Springer Nature Switzerland AG Modeling, Dynamics, Optimization and Bioeconomics
Book SynopsisThis book, following the three published volumes of the book, provides the main purpose to collect research papers and review papers to provide an overview of the main issues, results, and open questions in the cutting-edge research on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology and finance. Assuming the scientific relevance of the presenting innovative applications as well as merging issues in these areas, the purpose of this book is to collect papers of the world experts in mathematics, economics, and other applied sciences that is seminal to the future research developments. The majority of the papers presented in this book is authored by the participants in The Joint Meeting 6th International Conference on Dynamics, Games, and Science – DGSVI – JOLATE and in the 21st ICABR Conference. The scientific scope of the conferences is focused on the fields of modeling, optimization, and dynamics and their applications to biology, economy, energy, industry, physics, psychology, and finance. Assuming the scientific relevance of the presenting innovative applications as well as merging issues in these areas, the purpose of the conference is to bring together some of the world experts in mathematics, economics, and other applied sciences that reinforce ongoing projects and establish future works and collaborations.Table of ContentsA. Afsar, F. Martins, Bruno M. P. M. Oliveira, and A. A. Pinto, Immune response model fitting to CD4+ T cell data in lymphocytic choriomeningitis virus LCMV infection.- U. Agyüz, V. Purutçuoglu, E. Purutçuoglu and Y. Ürün, Construction of a New Model to Investigate Breast Cancer Data.- I. Baltas, M. Szczepanski, L. Dopierala, K. Kolodziejczyk, G.-W. Weber and A. N. Yannacopoulos, Optimal Pension Fund Management Under Risk and Uncertainty: The Case Study of Poland.- M. Bujidos-Casado, J. Navío-Marco and B. Rodrigo-Moya, Collaborative Innovation of Spanish SMEs in the European context: A compared study.- G. G. de Castro, A. O. Lopes and G. Mantovani, Haar systems, KMS states on von Neumann algebras and C*-algebras on dynamically defined groupoids and Noncommutative Integration.- C. Çıtak, T. Aksu, Ö. Harputlu and Gerhard-Wilhelm Weber, Mixed Compression Air-Intake Design for High-Speed Transportation.- D. Czerkawski, J. Małecka, G. Wilhelm Weber and B. Kjamili, Social Entrepreneurship Business Models for Handicapped People - Polish & Turkish case study of sharing public goods by doing business.- H. H. Ferreira, A. O. Lopes and E. R. Oliveira, An iterative process for approximating subactions.- A. D. Garcia and M. A. Szybisz, "Beat the gun": The phenomenon of liquidity.- E. Gómez-Escalonilla and Laura Parte, Board Knowledge and Bank Risk-Taking. An International Analysis.- F. Jiménez-Delgado, M. Dolores Reina-Paz, Israel J ThuissardVasallo and David Sanz-Rosa, The shopping experience in virtual sales: A study of the influence of website atmosphere on purchase intention.- Kyung B. Kim and José M. Labeaga, European Mobile Phone Industry: Demand Estimation Using Discrete Random Coefficients Models.- A. O. Lopes and M. Sebastiani, On Bertelson-Gromov Dynamical Morse Entropy, Rogério Martins, Synchronisation of weakly coupled oscillators.- Z. Kamisli Ozturk, Y. Cetin, Y. Isik and Z. I. Erzurum Cicek, Demand Forecasting with Clustering and Artificial Neural Networks Methods: an Application for Stock Keeping Units.- O. Palanci, S.Z. Alparslan Gok and Gerhard-Wilhelm Weber, On the Grey Obligation Rules.- Juan Diego Paredes-Gázquez, Eva Pardo and José Miguel Rodríguez-Fernández, Robustness checks in composite indicators: A responsible approach.- Elena V. Ravve, Zeev Volkovich, Gerhard-Wilhelm Weber, A Logic-Based Approach to Incremental Reasoning on Multi-Agent Systems.
£112.49
Springer Nature Switzerland AG Recent Advances in Industrial and Applied
Book SynopsisThis open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized worldwide, the scientific contributions cover a wide range of cutting-edge topics of industrial and applied mathematics: mathematical modeling, industrial and environmental mathematics, mathematical biology and medicine, reduced-order modeling and cryptography. The book also includes an introductory chapter summarizing the main features of the congress. This is the first volume of a thematic series dedicated to research results presented at ICIAM 2019-Valencia Congress.Table of Contents1 M. Berger, Asteroid-Generated Tsunamis: A Review.- 2 A. Bermúdez, Some Case Studies in Environmental and Industrial Mathematics.- 3 Z. Cai et al., Hyperbolic Model Reduction for Kinetic Equations.- 4 A. Cohen et al., State Estimation - The Role of Reduced Models.- 5 C. Conca, Modelling Our Sense Of Smell.- 6 L. Edelstein-Keshet, Pattern formation inside living cells.- 7 M. Garzon et al., Efficient Algorithms for Tracking Moving Interfaces.- 8 K. Lauter, Private AI: Machine Learning on Encrypted Data.- 9 C. Le Bris, Mathematical approaches for contemporary materials science: Addressing defects in the microstructure.- 10 H. Leng et al., An iterative thresholding method for topology optimization for the Navier-Stokes flow.- 11 K. Sako, Cryptography and Digital Transformation.- 12 H. Suito et al., Numerical Study for Blood Flows in Thoracic Aorta.- 13 J.A.C. Weideman, Dynamics of Complex Singularities of Nonlinear PDEs: Analysis and Computation.
£35.99
Springer Nature Switzerland AG Advances in Design Engineering II: Proceedings of
Book SynopsisThis book contains the papers presented at the XXX International Congress INGEGRAF, “Digital Engineering, its application in Research, Development and Innovation”, held on 24–25 June 2021 in Valencia, Spain.The book reports on cutting-edge topics in product design and manufacturing, such as industrial methods for integrated product and process design; innovative design; and computer-aided design. Further topics covered include virtual simulation and reverse engineering; additive manufacturing; product manufacturing; engineering methods in medicine and education; representation techniques; and nautical, engineering and construction, aeronautics and aerospace design and modeling. The book has six sections, reflecting the focus and primary themes of the conference. The contributions presented here will not only provide researchers, engineers, and experts in a range of industrial engineering subfields with extensive information to support their daily work; but also they are intended to stimulate new research directions, advanced applications of the methods discussed, and future interdisciplinary collaborations.Table of ContentsPrefaceOrganization Committee, Scientific Committee Part 1 - Engineering and Construction - New Methodologies BIM Part 2 - Teaching - Learning in Graphic Engineering Part 3 - Product Design & Development Part 4 - Manufacturing and Industrial Process Design Part 5 - Graphical Bioengineering Part 6 - Innovation in Design
£143.99
Springer Nature Switzerland AG Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulation
Book SynopsisThis open access book bridges common tools in medical imaging and neuroscience with the numerical solution of brain modelling PDEs. The connection between these areas is established through the use of two existing tools, FreeSurfer and FEniCS, and one novel tool, the SVM-Tk, developed for this book. The reader will learn the basics of magnetic resonance imaging and quickly proceed to generating their first FEniCS brain meshes from T1-weighted images. The book's presentation concludes with the reader solving a simplified PDE model of gadobutrol diffusion in the brain that incorporates diffusion tensor images, of various resolution, and complex, multi-domain, variable-resolution FEniCS meshes with detailed markings of anatomical brain regions. After completing this book, the reader will have a solid foundation for performing patient-specific finite element simulations of biomechanical models of the human brain.Trade Review“The book represents an excellent introduction and hands-on guide to this important and exciting field, for applied mathematicians and image processing practitioners … . It is, perhaps, most beneficial, to electrical and computer science majors who wish to rapidly immerse themselves in the field, in a manner that is mathematically correct and sound, yet also practical.” (Emil Saucan, zbMATH 1501.92001, 2023)Table of ContentsIntroduction.- Working with magnetic resonance images of the brain.- From T1 images to numerical simulation.- Introducing heterogeneities.- Introducing directionality with diffusion tensors.- Simulating anisotropic diffusion in heterogeneous brain regions.- Concluding remarks and outlook.- References.- Index.
£23.74
Springer International Publishing AG Graph-Based Semi-Supervised Learning
Book SynopsisWhile labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer vision, natural language processing, and other areas of Artificial Intelligence. Recognizing this promising and emerging area of research, this synthesis lecture focuses on graph-based SSL algorithms (e.g., label propagation methods). Our hope is that after reading this book, the reader will walk away with the following: (1) an in-depth knowledge of the current state-of-the-art in graph-based SSL algorithms, and the ability to implement them; (2) the ability to decide on the suitability of graph-based SSL methods for a problem; and (3) familiarity with different applications where graph-based SSL methods have been successfully applied. Table of Contents: Introduction / Graph Construction / Learning and Inference / Scalability / Applications / Future Work / Bibliography / Authors' Biographies / IndexTable of ContentsIntroduction.- Graph Construction.- Learning and Inference.- Scalability.- Applications.- Future Work.- Bibliography.- Authors' Biographies.- Index .
£26.59
Springer International Publishing AG Mathematical Modeling: A Dynamical Systems
Book SynopsisThis book provides qualitative and quantitative methods to analyze and better understand phenomena that change in space and time. An innovative approach is to incorporate ideas and methods from dynamical systems and equivariant bifurcation theory to model, analyze and predict the behavior of mathematical models. In addition, real-life data is incorporated in the derivation of certain models. For instance, the model for a fluxgate magnetometer includes experiments in support of the model. The book is intended for interdisciplinary scientists in STEM fields, who might be interested in learning the skills to derive a mathematical representation for explaining the evolution of a real system. Overall, the book could be adapted in undergraduate- and postgraduate-level courses, with students from various STEM fields, including: mathematics, physics, engineering and biology.Table of ContentsIntroduction- Algebraic Models.- Discrete Models.- Continuous Models.- Bifurcation Theory.- Network-Based Modeling.- Delay Models.- Spatial-Temporal Models.- Stochastic Models.- Model Reduction and Simplification.
£67.49
Springer International Publishing AG Operational Research: IO 2021—Analytics for a
Book SynopsisThis book provides the current status of research on the application of OR methods to solve emerging and relevant operations management problems. Each chapter is a selected contribution of the IO2021 - XXI Congress of APDIO, the Portuguese Association of Operational Research, held in Figueira da Foz from 7 to 8 November 2021. Under the theme of analytics for a better world, the book presents interesting results and applications of OR cutting-edge methods and techniques to various real-world problems. Of particular importance are works applying nonlinear, multi-objective optimization, hybrid heuristics, multicriteria decision analysis, data envelopment analysis, simulation, clustering techniques and decision support systems, in different areas such as supply chain management, production planning and scheduling, logistics, energy, telecommunications, finance and health. All chapters were carefully reviewed by the members of the scientific program committee.Table of ContentsA. R. Aguiar, T. Ramos, M. Isabel Gomes, Chapter 1 – A Biased Random-Key Genetic Algorithm for the Home Care Routing and Scheduling Problem: exploring the algorithm's configuration process.- B. F. Azevedo, F. Alvelos, Ana Maria A. C. Rocha, T. Brito, José Lima, Ana I. Pereira, Chapter 2 – An Integer Programming Approach for Sensor Location in a Forest Fire Monitoring System.- C. Bessa, R. Duque, A. Jesus, C. Silva, L. Eberle, S. Moniz, Chapter 3 – Capacity allocation incorporating market equity concerns: a Pharmaceutical Supply Chain case study.- I. S. Costa, R. Figueiredo, C. Requejo, Chapter 4 – The Shortest Path in Signed Graphs.- M. Dias, N. Lourenço, C. Silva, S. Moniz, Chapter 5 – The Break Point: A Machine Learning Approach to Web Breaks in Paper Mills.- M. M. Lima, F. Soares de Sousa, E. G. Öztürk, P. F. Rocha, A. M. Rodrigues, J. S. Ferreira, A. C. Nunes, I. C. Lopes, C. Teles Oliveira, Chapter 6 – A resectorization of fire brigades in the north of Portugal.- L. Magalhães, J. S. Guedes, J. Freire de Sousa, Chapter 7 – A Holistic Framework for Increasing Agility in a Production Process.- P. Nascimento, C. Silva, S. Mueller, S. Moniz, Chapter 8 – Nesting and scheduling for additive manufacturing: an approach considering order due dates.- E. Göksu Öztürk, Filipe Soares de Sousa, M. M. Lima, P. F. Rocha, A. M. Rodrigues, J. S. Ferreira, A. C. Nunes, I. C. Lopes, C. Teles Oliveira, Chapter 9 – Developing a System for Sectorization: An Overview.- M. Pascoal, M. T. Godinho, A. Moghanni, Chapter 10 – New models for finding K short and dissimilar paths.- M. T. Pereira, M. Oliveira, F. A. Ferreira, A. Barreiras, L. Carneiro, Chapter 11 – Time Windows Vehicle Routing Problem to on-time transportation of biological products on healthcare centres.- H. S. Rodrigues, Artur M. C. Brito da Cruz, Chapter 12 – The role of communication on the spread of dengue: an optimal control simulation.- A. Torrado, A. Paula Barbosa-Póvoa, Chapter 13 – Towards an Optimized and Socio-Economic Blood Supply Chain Network.- Clara B. Vaz, ngela P. Ferreira, Chapter 14 – A DEA Approach to Evaluate the Performance of the Electric Mobility Deployment in European Countries.- D. B. Viana, B. B. Oliveira, Chapter 15 – The art of the deal: Machine learning based trade promotion evaluation.
£127.99
Springer International Publishing AG A³N²M: Approximation, Applications, and Analysis
Book SynopsisThis volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021. The three-day meeting brought together experts from the computational, scientific, engineering, and mathematical communities who work with nonlocal models. These proceedings collect contributions and give a survey of the state of the art in computational practices, mathematical analysis, applications of nonlocal models, and explorations of new application domains. The volume benefits from the mixture of contributions by computational scientists, mathematicians, and application specialists. The content is suitable for graduate students as well as specialists working with nonlocal models and covers topics on fractional PDEs, regularity theory for kinetic equations, approximation theory for fractional diffusion, analysis of nonlocal diffusion model as a bridge between local and fractional PDEs, and more.Table of ContentsCTRW approximations for fractional equations with variable order (Kolokoltsov).- Fractional Elliptic Problems on Lipschitz Domains: Regularity and Approximation (Borthagaray).- Regularity estimates and open problems in kinetic equations (Silvestre).- An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions (Littlewood).- Nonlocal diffusion models with consistent local and fractional limits (Du).- A one-dimensional symmetric force-based blending method for atomistic-to-continuum coupling (Li).- A note on estimates of level sets and their role in demonstrating regularity of solutions to nonlocal double phase equations (Mengesha).- An overview of Almost Minimizers of Bernoulli-Type Functionals (Garcia).
£87.99
Birkhäuser Active Particles Volume 4
Book Synopsis1 Consistency of Semi-supervised Learning, Stochastic Tug-of-War Games, and the p-Laplacian.- 2 Discrete Minimizers of the Interaction Energy in Collective Behavior.- 3 Large-Population Limits of Non-Exchangeable Particle Systems.- 4 Models of Animal Behavior as Active Particle Systems with Nonreciprocal Interactions.- 5 Bayesian Sampling Using Interacting Particles.- 6 Aggregation-Diffusion Phenomena.- 7 Conservative Semi-Lagrangian Methods for Kinetic Equations.- 8 Large Population Limit of Interacting Population Dynamics via Generalized Gradient Structures.- 9 Adjoint Monte Carlo Method.
£103.99
Springer Mathematics for Sustainable Industry
Book Synopsis- Analysis of Carreau Fluid in MHD Natural Convection with Biot Heat Flux and Injection/Suction Effects.- Advanced Thermal Conductivity Enhancement of Hybrid Nanofluid Using Spherical Graphene and Strontium Titanate with CMC Base over a Riga Plate via Caputo-Fabrizio Fractional Derivative.- A Comparative Analysis of Classification Methods for Handling RFID Data Stream on Inventory Management.- Diffie-Hellman Key Exchange Protocol Based On Ring LWE with n Entities.- Spatial Global Numerical Computation of the Integral Equations for the Ruin Probability.- The Orientation of a Rotated Ellipsoid Based on Its Polarization Tensor.- University Teaching Assessment Using Fuzzy Delphi Method with Z-Number Approach.- Squeeze Flow of Ternary Casson Nanofluid with Magnetohydrodynamic, Viscous Dissipation and Thermal Radiation Effect.- Numerical Simulation of Aqueous Humour Flow during Descemet Membrane Detachment under External Heat Sources.- Indoor Transmission of COVID-19 using Advection Diffusion Equation.- Forecasting Electricity Demand from Battery Electric Vehicles Using Box-Jenkins Modeling.- Mathematical model and algorithm for grammatical editing of given words in Uzbek language.- Creation of a Multi-Functional Device for Real-Time Monitoring of Water Quality.- Valuation of Basket Options Accommodating Assets’ Correlation.- Monitoring The Quality of Water Production Process in Surabaya Using Max-MCUSUM Control Chart based on Residual Deep Learning LSTM Model.- Generalized Linear Model Approach on Dengue Incidence in Selangor.- Hybrid Genetic Algorithm for Multi-Period Inventory Routing Problem with Carbon Cap-and-Trade Policy.- Wave Attenuation by Seagrass.- Optimization of Green Transportation Routing Problem in Petroleum Logistics by Ant Colony Algorithm.- Several Functions of Matrix Metalloproteinases in the Formation of Invadopodia by Level Set Method.- Advanced Production Planning System for Multiperiod Production Smoothing Problem.- Unsteady Solute Dispersion through a Catheterized Artery with the Presence of Cosine and Sine-Shaped Stenoses.
£161.99
De Gruyter Homogenization Methods: Effective Properties of Composites
Book SynopsisAlmost all materials are inhomogeneous at the microscale. Typical examples are fiber- and grain structures made of anisotropic phases. These cannot be accounted for in detail in engineering calculations. Instead, effective, homogeneous material properties are used. These are obtained from the inhomogeneous structures by homogenization methods. This book provides a structured overview of the analytical homogenization methods, including the most common estimates, bounds, and Fourier methods. The focus is on linear and anisotropic constitutive relationships, like Hookean elasticity and Fourier’s law for thermal conduction. All sections are accompanied by example calculations, including program code that is also available online.
£60.30
Springer Fachmedien Wiesbaden Mathematische Modellierung: Eine Einführung in
Book SynopsisIm landläufigen Mathematikunterricht an Schulen und Hochschulen wird die Mathematik überwiegend als eine geistige Disziplin vermittelt, in der es um die Klarheit und Stringenz des Denkens geht. Systematik und formale Eleganz der Darstellung stehen im Vorder grund. Dabei wird aber ignoriert, daß die Mathematik nicht allein aus sich heraus lebt, sondern in andere Bereiche unserer Kultur eingebunden ist. Ohne allzusehr zu übertreiben, kann man sogar behaupten, daß sie ein integrativer Bestandteil unserer technologischen Welt ist und damit einen Einfluß ausübt, der weit über ihr Selbstverständnis hinausgeht. Mit der Sprache der Mathematik lassen sich auch nicht-mathematische Inhalte, zu mindest bis zu einem gewissen Grade ausdrücken. Man gelangt auf diese Weise oft zu Einsichten, die man ohne die Sprache der Mathematik nicht so klar und präzise aus drücken könnte. Man muß dabei allerdings auch beachten, daß mit der Umsetzung nicht mathematischer Sachverhalte in Mathematik eine starke Vereinfachung einhergeht als Preis für die mathematische Abstraktion. Diese Vereinfachung muß bei der Interpretation der durch Mathematik gewonnenen Einsichten berücksichtigt werden. Der Zweck dieses Buches besteht darin, die soeben skizzierte Rolle der Mathematik ins Bewußtsein der Mathematiker zu bringen. Danken möchte ich Frau A. Garhammer für das Schreiben dieses Buchtextes auf dem Computer und Herrn S. Bott für die Herstellung der Graphiken.Table of ContentsProblemstellung - Ein mathematisches Modell des Informationsbegriffes Modell des Informationsbegriffes - Entscheidungs- und Spielmodelle - Wachstumsmodelle - Zwei mathematische Modelle in der Medizin - Konkurrenzmodelle - Ein mathematisches Modell der Hämodialyse - Ein mathematisches Modell für Rüstung
£37.99
Springer Fachmedien Wiesbaden Angewandte Mathematik, Modellbildung und
Book SynopsisEs macht wenig Sinn, gerade wenn man an die Schulen denkt, Numerische Mathematik als Selbstzweck zu präsentieren. Wo ist der Sinn von Interpolation, Approximation und der Lösung linearer Systeme, wenn man nicht weiß, in welch vielfältigen Problemen diese Techniken anwendbar sind? Bei der Suche nach Anwendungen stößt man auf die Modellierung technischer, biologischer und ökonomischer Fragen. Des Weiteren muss das Modell in irgendeiner Form auf einem Rechner abgebildet werden, wozu man einige Kenntnisse aus der Informatik benötigt.Table of ContentsModellbildung oder: Wie hätte Leonardo modelliert? - Wie schnell wächst Fußpilz? - Wie wirtschaftlich ist mein Betrieb? - Wie sendet Asterix Geheimbotschaften an Teefax? - Was haben Tomographie und Wasserleitungen gemeinsam? - Wie fließt der Straßenverkehr? - Dem Zufall keine Chance? - Wie fängt der Hai die Beute?
£23.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Assessing Risk Assessment: Towards Alternative
Book SynopsisChristian Hugo Hoffmann undermines the citadel of risk assessment and management, arguing that classical probability theory is not an adequate foundation for modeling systemic and extreme risk in complex financial systems. He proposes a new class of models which focus on the knowledge dimension by precisely describing market participants’ own positions and their propensity to react to outside changes. The author closes his thesis by a synthetical reflection on methods and elaborates on the meaning of decision-making competency in a risk management context in banking. By choosing this poly-dimensional approach, the purpose of his work is to explore shortcomings of risk management approaches of financial institutions and to point out how they might be overcome.
£62.99
Springer Fachmedien Wiesbaden Mathematische Bildverarbeitung: Einführung in
Book SynopsisDieses Buch behandelt die mathematischen Aspekte der modernen Bildverarbeitungsmethoden. Besonderer Schwerpunkt liegt dabei auf der Präsentation von Grundideen und Konzepten. Es werden eine Vielzahl moderner mathematischer Methoden behandelt, welche zur Lösung wichtiger, grundlegender Probleme der Bildverarbeitung eingesetzt werden. Die Grundprobleme umfassen zum Beispiel Entrauschen, Scharfzeichnen, Kantenerkennung, Inpainting. Neben elementaren Methoden wie Punktoperationen, linearen oder morphologischen Filtern stellt das Buch insbesondere neuere Methoden wie partielle Differentialgleichungen und Variationsmethoden vor. Trade Review"[...] it belongs to the bookcase of any office where someone is doing research/application in image processing. It has the virtues of a good and handy reference manual." Zentralblatt MATH, 1220-2011Table of ContentsEinleitung: Was sind Bilder? Problemstellungen der klassischen Bildverarbeitung - Grundlegende Werkzeuge: Grauwerttransformationen. Glättungs- und Schärfungsmethoden. Lineare Filter. Morphologische Filter - Diskrete und kontinuierliche Betrachtungsweise: Interpolation. Die kontinuierliche Fourier-Transformation. Fourier-Reihen. Gefensterte Fourier-Transformation. Kontinuierliches Filtern und die Wärmeleitungsgleichung - Axiomatische Bildverarbeitung: Skalenraum-Axiome. Beispiele für Multiskalen-Analysen. Grundlegende Theorie. Die Standard PDE-Modelle - Variationsmethoden: Motivation und Vorbemerkungen. Anwendungen
£28.49
Springer Verlag, Singapore Modeling and Simulation of Complex Dynamical
Book SynopsisThis book highlights the practical aspects of computer modelling and simulation of complex dynamical systems for students. Mechanical systems are considered in the book as representative examples of dynamical systems. Wolfram SystemModeler, in combination with Learning Management System Sakai, is used as an instrument for studying features of various physical and technical phenomena and processes. Each of the presented virtual labs may be considered a stand-alone mini project to enable students to go through all the steps of mathematical modelling and computer simulation—from the problem statement to mathematical and physical analysis of the obtained result. The book is useful for teachers to organize the educational process, allowing gradual monitoring of the learning process and assessment of students’ competencies. It also allows tutors to design individual educational trajectories for students to achieve educational properties. The subject of the book is an extension of activity started by the international team of authors within the InMotion project of the European programme ERASMUS+.Trade Review“The authors went to great effort to produce beautiful figures, with color no less, to aid the reader. The tables are laid out logically, and the discussion for each model is, for the most part straightforward. I wish I could recommend the book … .” (David S. Mazel, MAA Reviews, August 22, 2022)Table of Contents1. Virtual Labs (76 pages) 2 Guidelines for performing virtual labs in Wolfram SystemModeler (63 pages)
£37.99
Springer Verlag, Singapore Artificial Intelligence for Automated Pricing
Book SynopsisThis book highlights artificial intelligence algorithms used in implementation of automated pricing. It presents the process for building automated pricing models from crawl data, preprocessed data to implement models, and their applications. The book also focuses on machine learning and deep learning methods for pricing, including from regression methods to hybrid and ensemble methods. The computational experiments are presented to illustrate the pricing processes and models.Table of Contents1. Pricing based on product descriptions: problem, data, and methods.- 2. Extract product data from descriptions by NLP techniques.- 3. Segmentation and Quantity the qualify features.- 4. Pricing prediction using machine learning and ensemble methods.- 5. Applications & Discussions.
£52.24
Springer Verlag, Singapore Methods of Mathematical Oncology: Fusion of
Book SynopsisThis book presents original papers reflecting topics featured at the international symposium entitled “Fusion of Mathematics and Biology” and organized by the editor of the book. The symposium, held in October 2020 at Osaka University in Japan, was the core event for the final year of the research project entitled “Establishing International Research Networks of Mathematical Oncology.” The project had been carried out since April 2015 as part of the Core-to-Core Program of Japan Society for the Promotion of Science (JSPS). In this book, the editor presents collaborative research from prestigious organizations in France, the UK, and the USA. By utilizing their individual strengths and realizing the fusion of life science and mathematical science, the project achieved a combination of mathematical analysis, verification by biomedical experiments, and statistical analysis of chemical databases.Mathematics is sometimes regarded as a universal language. It is a valuable property that everyone can understand beyond the boundaries of culture, religion, and language. This unifying force of mathematics also applies to the various fields of science. Mathematical oncology has two aspects, i.e., data science and mathematical modeling, and definitely helps in the prediction and control of biological phenomena observed in cancer evolution.The topics addressed in this book represent several methods of applying mathematical modeling to scientific problems in the natural sciences. Furthermore, novel reviews are included that may motivate many mathematicians to become interested in biological research.Table of ContentsPART 1: Mathematical Modeling: D. Guan, X. Luo, and H. Gao, Constitutive Modelling of Soft Biological Tissue from Ex Vivo to In Vivo: Myocardium as an Example.- T. Colin, T. Michel, and C. Poignard, Mathematical Modeling of Gastro-intestinal Metastasis Resistance to Tyrosine Kinase Inhibitors.- Y. Tanaka and T. Yasugi, Mathematical Modeling and Experimental Verification of the Proneural Wave.- D. Kumakura and S. Nakaoka, Exploring Similarity between Embedding Dimension of Time-series Data and Flows of an Ecological Population Model.- T. Hayashi, Mathematical Modeling for Angiogenesis.- S. Collin, Corridore and C. Poignard, Floating Potential Boundary Condition in Smooth Domains in an Electroporation Context.- N. L. Othman and T. Suzuki, Free Boundary Problem of Cell Deformation and Invasion.- L. Preziosi and M. Scianna, Multi-level Mathematical Models for Cell Migration in Confined Environments.- S. Magi, Mathematical Modeling of Cancer Signaling Addressing Tumor Heterogeneity.- N. Sfakianakis and Mark A.J. Chaplain, Mathematical Modelling of Cancer Invasion: A Review.- T. Williams, A. Wilson, and N. Sfakianakis, The First Step towards the Mathematical Understanding of the Role of Matrix Metalloproteinase-8 in Cancer Invasion.- PART II: Biological Prediction: T. Ito, T. Suzuki, and Y. Murakami, Mathematical Modeling of the Dimerization of EGFR and ErbB3 in Lung Adenocarcinoma.- H. Kubota, Selective Regulation of the Insulin-Akt Pathway by Simultaneous Processing of Blood Insulin Pattern in the Liver.- D. Oikawa, N. Hatanaka, T. Suzuki, and F. Tokunaga, Mathematical Simulation of Linear Ubiquitination in T Cell Receptor-mediated NF-κB Activation Pathway.- Y. Ito, D. Minerva, S. Tasaki, M. Yoshida, T. Suzuki, and A. Goto, Time Changes in the VEGF-A Concentration Gradient Lead Neovasculature to Engage in Stair-like Growth.- N. Hatanaka, M. Futakuchi, and T. Suzuki, Mathematical Modeling of Tumor Malignancy in Bone Microenvironment.- M. Yamamoto and Jun-ichiro Inoue, Signaling Networks Involved in the Malignant Transformation of Breast Cancer.- PART III: Data Science: R. Morishita, H. Takahashi, and T. Sawasaki, Cell-free Based Protein Array Technology.- Y. Nojima and Y. Takeda, Omics Data Analysis Tools for Biomarker Discovery and the Tutorial.- M. Oyama and H. Kozuka-Hata, Integrative Network Analysis of Cancer Cell Signaling by High-resolution Proteomics.- N. Nakamura and R. Yamada, Distance-matrix-based Extraction of Motility Features from Functionally Heterogeneous Cell Populations.- S. Kawasaki, H. Hayashi, and Y. Tominaga, Data Analytic Study of Genetic Mechanism of Ovarian Carcinoma from Single Cell RNA-seq Data.
£119.99
Springer Verlag, Singapore Quality of Work-Life During Pandemic: Data
Book SynopsisThis book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study.Table of ContentsIntroduction.- Data Analysis and Mathematical Modeling for Covid-19 Pandemic.- Influence of Covid-19 on Quality of Work Life in Real Estate Sector.- Influence of Covid-19 on Quality of Work Life in Education Sector.- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries.- Influence of Covid-19 on Quality of Work Life in Agriculture Sector.
£116.99
Springer Verlag, Singapore Biocoating for Fertilizer Industry
Book SynopsisThis book presents the advancement of coating materials technology especially in agriculture, particularly for fertilizers. Fertilizers are a critical component in meeting rising demands and ensuring global food security. A new generation of fertilizers made by coating granules with biopolymers address these issues. Coating in agriculture is an important area in research for a more sustainable future. Many examples and instances from existing research and related research gaps are discussed. It includes applications of composites as fertilizer’s coating, advantages and disadvantages of fertilizer coating from composites, applications of bacteria in composite, applications of bacteria in fertilizer industry as well as the common techniques of coating fertilizers with drying process. Table of ContentsChapter 1. Introduction to Bio-coating.- Chapter 2. Bio-coating from Composite Materials.- Chapter 3. Bacteria in Bio-coating.- Chapter 4. Evaluation of Bio-coating.- Chapter 5. Techniques of Bio-coating Evaluation.- Chapter 6. Conclusion.-References
£37.99
Springer Verlag, Singapore Frontiers in Industrial and Applied Mathematics:
Book SynopsisThis book publishes select papers presented at the 4th International Conference on Frontiers in Industrial and Applied Mathematics (FIAM-2021), held at the Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India, from 21–22 December 2021. Most of the papers deal with mathematical theory embedded with its applications to engineering and sciences. This book illustrates numerical simulation of scientific problems and the state-of-the-art research in industrial and applied mathematics, including various computational and modeling techniques with case studies and concrete examples. Graduate students and researchers, who are interested in real applications of mathematics in the areas of computational and theoretical fluid dynamics, solid mechanics, optimization and operations research, numerical analysis, bio-mathematics, fuzzy, control and systems theory, dynamical systems and nonlinear analysis, algebra and approximation theory, will find the book useful. Table of ContentsC. Özman, T. Saner, F. Gül, M. Diederich, A. C. Benim, and U. Janoske, Computational and Experimental Investigation of Flow and Convective Heat Transfer along Rough Surfaces.- M. Kumar, Neelesh S. Upadhye, and A. K. B. Chand, Distribution of Noise in Linear Recurrent Fractal Interpolation Functions for Data Sets with α-Stable Noise.- Maggie E. Habeeb, Oblivious Transfer using Non-abelian Groups.- P. Kushwah and J. Saha, Solution of Population Balance Equation using Homotopy Analysis Method.- V. Singh, Waseem A. Khan, and A. Sharma, Certain Properties and their Volterra Integral Equation Associated with the Second-Kind Chebyshev Matrix Polynomials in Two Variables.- R. Saranya, N. Annapoorani, and J. Saha, Blow-up Analysis and Global Existence of Solutions for a Fractional Reaction-Diffusion Equation.- N. Rani and V. Mishra, Ways of Constructing Multiplicative Magic Cubes.- S. Singh Rawat and Komal, Novel q-Rung Orthopair Fuzzy Hamacher Dual Muirhead Mean Operator for Multi-Attribute Decision Making.- A. Srivastava and B. S. Bhadauria, Convective Instability in a Composite Nanofluid Layer under Local Thermal Non-equilibrium.- N. Madaan and S. Sharma, Investigation of Traffic Dynamics Considering Driver’s Characteristics and Downstream Traffic Conditions.- R. Pasupathi, M. A. Navascués, and A. K. B. Chand, Fractal Convolution Bessel Sequences on Rectangle.- S. Devaiya and S. K. Srivastava, Uniform Approximation of Functions Belonging to L[0,∞)-space Using Cγ.T Means of Fourier-Laguerre Series.- M. Diederich, F. Gül, C. Özman, A. C. Benim, L. Ihringer, and D. Möller, Numerical Modelling and Experimental Validation of Mechanical Separation of Helminth Eggs for Wastewater Purification.- H. A. Kumara Swamy, Sankar Mani, N. Keerthi Reddy, and S. R. Sudheendra, Heat Transfer and Second Law Analysis of Ag-water Nanoliquid in a Non-Uniformly Heated Porous Annulus.- Anjali and M. K. Singh, Qualitative Analysis of Peer Influence Effects on Testing of Infectious Disease Model.- R. Goel, R. C. Mittal, and N. Ahlawat, B-Splines Collocation Approach to Simulate Secondary Dengue Virus (DENV) Infection Model with Diffusion.- A. Kumar, B.S Bhadauria, and A. Srivastava, Study of Heat and Mass Transfer in a Composite Nanofluid Layer.- Bhagwat R. Yewale and Deepak B. Pachpatte, On the Existence and Stability Analysis for Ψ-Caputo Fractional Boundary-value Problem.- R. Rath and K. Sharma, Alternative Crack-tip Enrichment Functions for XFEM in Arbitrary Polarized Piezoelectric Media.- S. C. Sekhara Rao and A. K. Chaturvedi, Convergence Analysis of a Layer Resolving Numerical Technique for a Class of Coupled System of Singularly Perturbed Parabolic Convection-Diffusion Equations having an Interface.- P. Megha and G. Chandhini, Filtering in Time-dependent Problems.- N. Gupta and N. Kanth, Heat Transfer Model for Silk Finishing Calendar.- H. D. Arora, A. Naithani, and Aakanksha, A Multi-attribute Decision Making Approach for Fuzzy Divergence Measure in Selection of Covid-19 Vaccine.- N. Singh and Manish K. Khandelwal, Magnetohydrodynamic Mixed Convection Flow in a Vertical Channel Filled with Porous Media.- A. Ali, R. P. Sharma, and A. Zishan, Group Action on Fuzzy Ideals of Near-Rings.- R. Revathi, D. Narsimhulu, and A. Ramu, Effect of Viscosity on the Spherical Shock Wave Propagation in a Dusty Gas with Radiation Heat Flux and Exponentially Varying Density.- M. Arora and R. Bajaj, On the Stability of a Heated Inclined Fluid Layer with Gravity Modulation.- S. C. Srivastava, N. K. Thakur, and A. Pramanayagam, Dynamical Study of an Epidemiological Model with Harvesting and Infection in Prey Population.- G. Raiya and M. Mittal, Joint Decisions on Imperfect Production Process and Carbon Emission Reduction Under Carbon Regulations.- S. Naskar, N. Islam, R. Gayen, and R. Datta, Propagation of Water Waves in the Presence of a Horizontal Plate Submerged in a Two-layer Fluid.- P. Saini, Transversely Isotropic Homogeneous Medium with Absorbing Boundary Conditions: Elastic Wave Propagation using Spectral Element Method.- K. B. Devi, Reingachan N., and T. B. Singh, Growth of Polynomials having No-zero Inside a Circle.- V. Siwach, Manju S. Tonk, and H. Poonia, Simulation of Queues in Sugar Mills using Monte-Carlo Technique.- R. Singla, G. Singh, and V. Kanwar, An Adaptive Step-size Optimized Seventh-order Hybrid Block Method for Integrating Differential Systems Efficiently.- M. Diederich, L. Di Bartolo, and A. C. Benim, Comparison of Prediction Accuracy between Interpolation and Artificial Intelligence Application of CFD Data for 3D Cavity Flow.- J. Tushar, A. Kumar, and S. Kumar, Virtual Element Methods for Optimal Control Problems Governed by Elliptic Interface Problems.- Vijay and A.K.B. Chand, Positivity Preserving Rational Quartic Spline Zipper Fractal Interpolation Functions.- Z. Mkhize, N. Parumasurand, and P. Singh, Heptic Hermite Collocation on Finite Elements.- J. Raj Sharma and H. Singh, A Computationally Efficient Sixth-order Method for Nonlinear Models.- S. Panday, W. H. Chanu, and Y. N. Devi, New Higher Order Iterative Method for Multiple Roots of Nonlinear Equations.- M. Singh and A. Gupta, Separation Axioms in Bipolar Fuzzy Topological Spaces.- V. Singh and B. Singh, A Study of Ciric Type Generalized Contraction via B-contraction with Application.- D. Amin and D. B. Singh, Evolution of Weak Discontinuities in a Perfectly Conducting Mixture of Gas and Dust Particles.- S. Chawla and S. C. Sekhara Rao, Numerical Treatment for a Coupled System of Singularly Perturbed Reaction Diffusion Equations with Robin Boundary Conditions and having Boundary and Interior Layers.- M. Arora, M. Danesh, and A. Rana, Double-Diffusive Convection with the Effect of Rotation in Magnetic Nanofluids.- R. Sasikumar and P. Arriyamuthu, Modeling for Implications of Covid-19 Pandemic on Healthcare System in India.
£143.99
Springer Nature Switzerland AG Computational Mathematics and Modelling for
Book SynopsisThis book is a theoretical and pragmatic tool that applies mathematical modelling in understanding and managing diabetes and related complications such as diabetes predisposition, diabetes onset, regular glycaemic monitoring, glycated haemoglobin HbA1c, diabetes homeostasis, gestational diabetes and other associated diseases and conditions.
£123.49
Springer Nature Switzerland AG Thermal Spray Coatings
Book Synopsis
£107.99
£125.99
Oxford University Press KRYLOV SUBSPACE METH PRIN ANALY NMSC C Principles and Analysis Numerical Mathematics and Scientific Computation
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Taylor & Francis Ltd Hormones as Tokens of Selection
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Taylor & Francis Modelling Transitions
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Taylor & Francis Ltd Modelling Hydrology Hydraulics and Contaminant Transport Systems in Python
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Taylor & Francis Ltd Mathematical Modeling of Concrete Mixture Proportioning
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Taylor & Francis Ltd Introduction to Ocean Circulation and Modeling
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Taylor & Francis Ltd Modeling to Inform Infectious Disease Control Chapman HallCRC Biostatistics
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Taylor & Francis Ltd Modeling and Inverse Problems in the Presence of Uncertainty
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Taylor & Francis Ltd Handbook of Dynamic System Modeling Chapman HallCRC Computer and Information Science
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Taylor & Francis Ltd Mathematical Modelling of Solids with Nonregular Boundaries
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Taylor & Francis Ltd Social Networks
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£128.25
Taylor & Francis Ltd Introduction to Modeling and Simulation with MATLAB and Python
a huge range and FREE tracked UK delivery on ALL orders.
£44.99
Taylor & Francis Ltd Modeling Tools for Environmental Engineers and Scientists
a huge range and FREE tracked UK delivery on ALL orders.
£45.99
Taylor & Francis Ltd FPGAs
a huge range and FREE tracked UK delivery on ALL orders.
£52.24
