Mathematical modelling Books
Springer International Publishing AG Quality Control with R: An ISO Standards Approach
Book SynopsisPresenting a practitioner's guide to capabilities and best practices of quality control systems using the R programming language, this volume emphasizes accessibility and ease-of-use through detailed explanations of R code as well as standard statistical methodologies. In the interest of reaching the widest possible audience of quality-control professionals and statisticians, examples throughout are structured to simplify complex equations and data structures, and to demonstrate their applications to quality control processes, such as ISO standards. The volume balances its treatment of key aspects of quality control, statistics, and programming in R, making the text accessible to beginners and expert quality control professionals alike. Several appendices serve as useful references for ISO standards and common tasks performed while applying quality control with R. Trade Review Table of Contents
£52.49
Springer International Publishing AG Modeling Life: The Mathematics of Biological
Book SynopsisThis book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?Trade Review“The book can serve as an introduction to the field of modeling not only for university students but for any person interested in the field with little or no knowledge of calculus. … This book is a very interesting deviation from this prevailing paradigm. It takes the essence of calculus and presents it in a way which is accessible and usable in the practice of life sciences professionals.” (Svetoslav Markov, zbMATH 1397.92001, 2018)Table of Contents1. Modeling, Change, and Simulation.- 2. Derivatives and Integrals.- 3. Equilibrium Behavior.- 4. Non-Equilibrium Dynamics: Oscillation.- 5. Chaos.- 6. Linear Algebra.- 7. Multivariable Systems.- Bibliography.- Index.
£49.49
Springer International Publishing AG Modeling Life: The Mathematics of Biological
Book SynopsisThis book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?Trade Review“The book can serve as an introduction to the field of modeling not only for university students but for any person interested in the field with little or no knowledge of calculus. … This book is a very interesting deviation from this prevailing paradigm. It takes the essence of calculus and presents it in a way which is accessible and usable in the practice of life sciences professionals.” (Svetoslav Markov, zbMATH 1397.92001, 2018)Table of Contents1. Modeling, Change, and Simulation.- 2. Derivatives and Integrals.- 3. Equilibrium Behavior.- 4. Non-Equilibrium Dynamics: Oscillation.- 5. Chaos.- 6. Linear Algebra.- 7. Multivariable Systems.- Bibliography.- Index.
£44.99
Springer International Publishing AG Theory and Simulation of Random Phenomena:
Book SynopsisThe purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are presented in textbooks that require a very strong mathematical background. Second, while leading the reader on this journey, it aims to impart the knowledge needed in order to develop algorithms that simulate realistic physical systems. Connections with several fields of pure and applied physics, from quantum mechanics to econophysics, are provided. Furthermore, the inclusion of fully solved exercises will enable the reader to learn quickly and to explore topics not covered in the main text. The book will appeal especially to graduate students wishing to learn how to simulate physical systems and to deepen their knowledge of the mathematical framework, which has very deep connections with modern quantum field theory.Table of Contents1 Review of Probability Theory.- 2 Applications to Mathematical Statistics.- 3 Conditional Probability and Conditional Expectation.- 4 Markov Chains.- 5 Sampling of Random Variables and Simulation.- 6 Brownian Motion.- 7 Introduction to Stochastic Calculus and Ito Integral.- 8 Introduction to Stochastic Differential Equations and Applications.- Bibliography.- Solutions.
£53.99
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
£35.99
Wiley VCH Magnetospheric MHD Oscillations A Linear Theory
Book Synopsis
£103.50
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 Mathematik für Informatiker: Ein praxisbezogenes
Book SynopsisDieses Buch enthält den Mathematikstoff, der für das Informatikstudium in anwendungsorientierten Bachelorstudiengängen benötigt wird. Der Inhalt entspringt der langjährigen Lehrerfahrung des Autors.Das heißt: Sie finden immer wieder Anwendungen aus der Informatik. Sie lernen nicht nur mathematische Methoden, es werden auch die Denkweisen der Mathematik vermittelt, die eine Grundlage zum Verständnis der Informatik bilden. Beweise werden dann geführt, wenn Sie daraus etwas lernen können, nicht um des Beweisens willen. Mathematik ist für viele Studierende zunächst ein notwendiges Übel. Das Buch zeigt durch ausführliche Motivation, durch viele Beispiele, durch das ständige Aufzeigen von Querbezügen zwischen Mathematik und Informatik, dass Mathematik nicht nur nützlich ist, sondern interessant sein kann und manchmal auch Spaß macht.Table of ContentsDISKRETE MATHEMATIK UND LINEARE ALGEBRA.- Mengen und Abbildungen.- Logik.- Natürliche Zahlen, vollständige Induktion, Rekursion.- Etwas Zahlentheorie.- Algebraische Strukturen.- Vektorräume.- Matrizen.- Gauß'scher Algorithmus und lineare Gleichungssysteme.- Eigenwerte, Eigenvektoren und Basistransformationen.- Skalarprodukt und orthogonale Abbildungen.- Graphentheorie.- ANALYSIS.- Die reellen Zahlen.- Folgen und Reihen.- Stetige Funktionen.- Differenzialrechnung.- Integralrechnung.- Differenzialgleichungen.- Numerische Verfahren.- WAHRSCHEINLICHKEITSRECHNUNG UND STATISTIK.- Wahrscheinlichkeitsräume.- Zufallsvariable.- Wichtige Verteilungen und stochastische Prozesse.- Statistische Verfahren.- Anhang.
£36.09
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Selected Applications of Convex Optimization
Book SynopsisThis book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.Trade Review“Selected Applications of Convex Optimization is a brief book, only 140 pages, and includes exercises with each chapter. It would be a good supplemental text for an optimization or machine learning course.” (John D. Cook, MAA Reviews, maa.org, December, 2015)Table of ContentsPreliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Panorama der Mathematik
Book Synopsis„Was ist Mathematik?” – auf diese Frage gibt dieses dicke Buch zahllose Antworten. Mathematik ist eben viel mehr als ein Schul- und Studienfach oder Rechnen: Es ist Teil der menschlichen Kultur, ein riesiges aktives Forschungsgebiet und ein nützlicher Werkzeugkasten. „Was ist Mathematik?” – statt einer einzelnen Antwort zeichnen die Autoren ein Panorama, bunt und vielfältig. Da geht es um Philosophie, Beweise, große und kleine Probleme, fundamentale Konzepte, Teilgebiete, Forschungspraxis, Anwendungen der Mathematik. Und um Geschichten aus der Geschichte. Das Buch richtet sich an alle, die wissen und darüber nachdenken wollen, was Mathematik ist, insbesondere auch an Studierende der Mathematik. Es begleitet eine Vorlesung, die an der Freien Universität Berlin jährlich vor allem für Lehramtsstudierende angeboten wird.Table of ContentsWas ist Mathematik?- Mathematische Forschung.- Beweise.- Formeln, Zeichnungen und Bilder.- Philosophie der Mathematik.- Primzahlen.- Zahlenbereiche.- Unendlichkeit.- Dimensionen.- Zufall – Wahrscheinlichkeiten – Statistik.- Funktionen.- Anwendungen.- Rechnen.- Algorithmen und Komplexität.- Mathematik in der Öffentlichkeit.
£24.94
Springer Fachmedien Wiesbaden Mathematische Modellierung in den Life Sciences
Book SynopsisTiefe und breite Erkenntnisse in den Life Sciences erschließen sich nur mit Mathematik. In diesem Buch erfahren Sie, wie klassische und aktuelle mathematische Modelle Vorgänge in der belebten Natur beschreiben. Erleben Sie, wie einfache Überlegungen zu mathematischen Modellen führen, die unser Verständnis von den Phänomenen in der Biologie und der Medizin grundlegend neugestalten, und wie auf dieser Grundlage ganz neue Erkenntnisse und Fortschritte möglich werden. Die Reise beginnt bei Fragen zur Ausbreitung von Epidemien und zu Impfstrategien und führt unter anderem über Gewässergesundheit, ein- oder mehrdimensionale Populationsdynamiken und pharmakokinetische Prozesse bis hin zur optimalen Medikationen bei Erkrankungen. Jedes Kapitel greift dabei auf so viel Mathematik zurück, wie Sie für die Beantwortung der Forschungsfragen benötigen. Die übersichtliche Gestaltung und der Einsatz von Farben im Text und in den zahlreichen Abbildungen erleichtern das Lesen und Verstehen. Aufgabenserien ermuntern Sie zu eigener Aktivität und eigenem Forschen. Table of ContentsEinleitung .- Modellbildung.- Diskrete Modelle.- Lineare Modelle.- Fourier-Reihen.- Nichtlineare Modelle.- Partielle Differentialgleichungen.- Laplace-Transformation.- Optimal Control.- Literaturverzeichnis.- Index.
£29.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imperfect Information and Investor Heterogeneity in the Bond Market
Book SynopsisReal world investors differ in their tastes and attitudes and they do not have, in general, perfect information about the future prospects of the economy. Most theoretical models, however, assume to the contrary that investors are homogeneous and perfectly informed about the market. In this book, an attempt is made to overcome these shortcomings. In three different case studies, the effect of heterogeneous time preferences, heterogeneous beliefs and imperfect information about the economy's growth on the term structure of interest rates are studied. The initial chapter gives an introduction to the theory of financial markets in continuous time under imperfect information and establishes the existence of an equilibrium with complete markets.Table of ContentsInformation.- Equilibrium with Imperfect Information and Complete Asset Markets in Continuous Time: Introduction; A Competitive Financial Market with Imperfect Information; Martingale Representation Theorem for the Innovation Process; The Existence of an Arrow-Debreu Equilibrium, Pareter Efficiency and the Representation Agent; Completeness of the Market and Existence of a Financial Equilibrium; Pricing Redundant Securities and the Term Structure of Interest Rates.- Heterogeneous Time Preferences - Preferred Habitat Theory Revisited: Modeling Preferred Habitat Time Preferences; A Model with Heterogeneous Time Preferences; Equilibrium; Analysis of the Term Structure; The Demand for Long-Term Bonds.- Imperfect Information: The Term Structure when the Growth Rate is Unknown: The Model; Estimating the Drift; Equilibrium with Perfect and Imperfect Information; The Yield Curve with Normal and Bernoulli Prior Beliefs; General Prior Beliefs.- Bulls and Bears: Heterogeneous Expectations: Setup; Equilibrium; Two Examples.
£42.74
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
PHI Learning Finite Element Methods: Basic Concepts and
Book SynopsisThe book covers structural, torsion, vibration, heat transfer, and fluid flow problems. It explains equations of equilibrium, stress-strain relations, interpolation functions, element design, symmetry, and FEM applications. Each chapter includes a question bank for self-study.
£14.95
River Publishers Data Driven Mathematical Modeling in Agriculture
Book SynopsisThe research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers'' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning
£109.25
Universities Press Learning Mathematics Through Modelling and
Book SynopsisLearning Mathematics through Modelling and Simulation: An Investigative Approach, offers the readers a hands-on experience of discovering the beautiful aspects of mathematics through the use of technology. Three powerful tools falling into the categories of spreadsheet programs (Microsoft Excel),They are applied in the book to enable the readers to independently explore, visualise, conjecture, reason and solve problems.
£23.74
Springer Spectral Methods for Uncertainty Quantification: With Applications to Computational Fluid Dynamics
Book SynopsisThis book deals with the application of spectral methods to problems of uncertainty propagation and quanti?cation in model-based computations. It speci?cally focuses on computational and algorithmic features of these methods which are most useful in dealing with models based on partial differential equations, with special att- tion to models arising in simulations of ?uid ?ows. Implementations are illustrated through applications to elementary problems, as well as more elaborate examples selected from the authors’ interests in incompressible vortex-dominated ?ows and compressible ?ows at low Mach numbers. Spectral stochastic methods are probabilistic in nature, and are consequently rooted in the rich mathematical foundation associated with probability and measure spaces. Despite the authors’ fascination with this foundation, the discussion only - ludes to those theoretical aspects needed to set the stage for subsequent applications. The book is authored by practitioners, and is primarily intended for researchers or graduate students in computational mathematics, physics, or ?uid dynamics. The book assumes familiarity with elementary methods for the numerical solution of time-dependent, partial differential equations; prior experience with spectral me- ods is naturally helpful though not essential. Full appreciation of elaborate examples in computational ?uid dynamics (CFD) would require familiarity with key, and in some cases delicate, features of the associated numerical methods. Besides these shortcomings, our aim is to treat algorithmic and computational aspects of spectral stochastic methods with details suf?cient to address and reconstruct all but those highly elaborate examples.Table of ContentsIntroduction: Uncertainty Quantification and Propagation.- Basic Formulations.- Spectral Expansions.- Non-intrusive Methods.- Galerkin Methods.- Detailed Elementary Applications.- Application to Navier-Stokes Equations.- Advanced topics.- Solvers for Stochastic Galerkin Problems.- Wavelet and Multiresolution Analysis Schemes.- Adaptive Methods.- Epilogue.
£71.24
Springer Verlag, Singapore Stability and Control of Nonlinear Time-varying
Book SynopsisThis book presents special systems derived from industrial models, including the complex saturation nonlinear functions and the delay nonlinear functions. It also presents typical methods, such as the classical Liapunov and Integral Inequalities methods. Providing constructive qualitative and stability conditions for linear systems with saturated inputs in both global and local contexts, it offers practitioners more concise model systems for modern saturation nonlinear techniques, which have the potential for future applications. This book is a valuable guide for researchers and graduate students in the fields of mathematics, control, and engineering.Table of ContentsIntroduction.- Novel Mathematical Modeling and Stability Analysis of Linear Uncertain Systems Subject to Actuator Saturations.- Commuting Matrices, Equilibrium Points for Control Systems with Single Saturated Input.- Stability and Closed Trajectory for 2nd Order Control Systems with Single Saturated Input.- Equilibrium Points Analysis of 2nd Order Differential Systems with Single Saturated Input.- Stability Analysis for Lurie Nonlinear Systems with Time-varying Plant and Actuator under Time-varying Delay Feedback.- Several Stability Criteria on Differential Inclusions with Nonlinear Integral Delays.- Generalization of Integral Inequalities and (c1,c1) stability of Neutral Delay Differential Equations.- Several Integral Inequalities and Their Applications in Nonlinear Differential Systems.- Fuzzy Observer, Fuzzy Controller Design and Common Hurwitz Matrices Analysis for a class of Uncertain Nonlinear System.- The Three-stage Chaotic Communication System Based on The Unified Chaotic System.- Nonlinear Dynamic Model of 2K-H Planetary Gear Transmission System And Its Chaotic Characteristics.
£97.49
World Scientific Publishing Co Pte Ltd X Games In Mathematics: Sports Training That
Book SynopsisSports analytics has gathered tremendous momentum as one of the most dynamic fields. Diving deep into the numbers of sports can be game changing or simply a fun exercise for fans. How do you get in the game with numbers? What questions can be explored? What actionable insights can be gleaned?Do you like sports? This book will detail ways to analyze athletics to gain insight that can otherwise be obscured. Like math? You'll find many mathematical topics not involving sports. You'll also see how sports analytics can train you broadly in mathematics.From coaching at the highest levels to national media broadcasts, analytics are becoming increasingly indispensable. Dive into the numbers behind soccer to basketball to baseball to boxing to swimming, dive into the numbers. Learn how to get in the game with sports and mathematics.
£33.25
World Scientific Publishing Co Pte Ltd Introduction To Matrix Theory: With Applications
Book SynopsisLinear algebra and matrix theory are among the most important and most frequently applied branches of mathematics. They are especially important in solving engineering and economic models, where either the model is assumed linear, or the nonlinear model is approximated by a linear model, and the resulting linear model is examined.This book is mainly a textbook, that covers a one semester upper division course or a two semester lower division course on the subject.The second edition will be an extended and modernized version of the first edition. We added some new theoretical topics and some new applications from fields other than economics. We also added more difficult exercises at the end of each chapter which require deep understanding of the theoretical issues. We also modernized some proofs in the theoretical discussions which give better overview of the study material. In preparing the manuscript we also corrected the typos and errors, so the second edition will be a corrected, extended and modernized new version of the first edition.
£72.00
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.
£143.99
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 Understanding and Changing the World: From
Book SynopsisThis book discusses the importance of knowledge as an intangible asset, separate from physical entities, that can enable us to understand and/or change the world. It provides a thorough treatment of knowledge, one that is free of ideological and philosophical preconceptions, and which relies exclusively on concepts and principles from the theory of computing and logic. It starts with an introduction to knowledge as truthful and useful information, and its development and management by computers and humans. It analyses the relationship between computational processes and physical phenomena, as well as the processes of knowledge production and application by humans and computers. In turn, the book presents autonomous systems that are called upon to replace humans in complex operations as a step toward strong AI, and discusses the risks – real or hypothetical – of the careless use of these systems. It compares human and machine intelligence, attempting to answer the question of whether and to what extent computers, as they stand today, can approach human-level situation awareness and decision-making. Lastly, the book explains the functioning of individual consciousness as an autonomous system that manages short- and long-term objectives on the basis of value criteria and accumulated knowledge. It discusses how individual values are shaped in society and the role of institutions in fostering and maintaining a common set of values for strengthening social cohesion. The book differs from books on the philosophy of science in many respects, e.g. by considering knowledge in its multiple facets and degrees of validity and truthfulness. It follows the dualist tradition of logicians, emphasizing the importance of logic and language and considering an abstract concept of information very different from the one used in the physical sciences. From this perspective, it levels some hopefully well-founded criticism at approaches that consider information and knowledge as nothing more than the emergent properties of physical phenomena. The book strikes a balance between popular books that sidestep fundamental issues and focus on sensationalism, and scientific or philosophical books that are not accessible to non-experts. As such, it is intended for a broad audience interested in the role of knowledge as a driver for change and development, and as a common good whose production and application could shape the future of humanity.Trade ReviewIn Understanding and Changing the World: From Information to Knowledge and Intelligence, Joseph Sifakis (a 2007 Turing Award recipient) amasses a lifetime of knowledge as a deep thinker and effective practitioner of computer science—indeed, collecting a civilization’s wisdom—to provide a valuable framework that is rooted in the philosophy of science and society."Akash Deshpande, SIAM News, https://sinews.siam.org/Details-Page/intelligence-whence-and-whitherTable of Contents1. Introduction.- Part I For a Gnoseological View of the World.- 2. Fundamental Questions about Knowledge.- 3. Information and Knowledge.- 4. The Development and Application of Knowledge.- Part II Computing, Knowledge and Intelligence.- 5. Physical Phenomena and Computational Processes.- 6. Human vs Artificial Intelligence.- Part III Consciousness and Society.- 7. Consciousness.- 8. Value Systems and Society.- 9. Epilogue.- Index.
£29.99
Springer Verlag, Singapore Engineering Mathematics and Computing
Book SynopsisThis book contains select papers presented at the 3rd International Conference on Engineering Mathematics and Computing (ICEMC 2020), held at the Haldia Institute of Technology, Purba Midnapur, West Bengal, India, from 5–7 February 2020. The book discusses new developments and advances in the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, hybrid intelligent systems, etc. The book, containing 19 chapters, is useful to the researchers, scholars, and practising engineers as well as graduate students of engineering and applied sciences. Table of ContentsFuzzy Random Continuous Review Inventory Model with Controllable Lead-time and Exponential Crashing Cost.- Multilevel Meshfree RBF-FD Method for Elliptic Partial Differential Equations.- Some Fixed Point Theorems in Fuzzy Strong B-Metric Spaces.- Camera Tracking for Robotic Ships.- Some Arithmetic Operations on Trapezoidal Intuitionistic Fuzzy Number and Its Application in Solving Linear Programming Problem by Simplex Algorithm.- Investment Analysis Based on New Fuzzy Methodology.- Existence of Quadruple Fixed Point Results in Ordered K Metric Space Through C Distance with Application in Integral Equation.- New Dice Similarity Measure of Fuzzy Numbers and its application in Multicriteria Decision Making.- Ensemble of Cyberspace Users Tendency in Blog Writing Using Regression Algorithms.- An Intelligent Intrusion Detection System Using a Novel Combination of PCA and MLP.- Performance Analysis for Various Mobility Nodes for Manet Protocol Using Fuzzy Inference System.- Ion Partitioning Effects on Electroosmotic Flow Through ph Regulated Cylindrical Nanopore.- Optimal Control of Complementary and Substitute Items in a Production System for Infinite Time Horizon.
£40.49
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.
£170.99
Springer Verlag, Singapore Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs
Book SynopsisThis book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding complex systems in different domains including health, education, agriculture and transportation. Such complex systems are analyzed by modeling, using networks that are aptly called complex networks. Networks are becoming ubiquitous as they can represent many real-world relational data, for instance, information networks, molecular structures, telecommunication networks and protein–protein interaction networks. Analysis of these networks provides advantages in many fields such as recommendation (recommending friends in a social network), biological field (deducing connections between proteins for treating new diseases) and community detection (grouping users of a social network according to their interests) by leveraging the latent information of networks. An active and important area of current interest is to come out with algorithms that learn features by embedding nodes or (sub)graphs into a vector space. These tasks come under the broad umbrella of representation learning. A representation learning model learns a mapping function that transforms the graphs' structure information to a low-/high-dimension vector space maintaining all the relevant properties. Table of ContentsIntroduction 1.1 introduction 1.2 Notations used in Book 1.3 Contents covered in this book 2 Representations of Networks 2.1 Introduction 2.2 Networks Represented as Graphs 2.3 Data Structures to Represent Graphs 2.3.1 Matrix Representation 2.3.2 Adjacency List 2.4 Network Embeddings 2.5 Evaluation Datasets 2.5.1 Evaluation Datasets 2.5.2 Evaluation Metrics 2.6 Machine Learning Downstream Tasks 2.6.1 Classification 2.6.2 Clustering 2.6.3 Link Prediction (LP) 2.6.4 Visualization 2.6.5 Network Reconstruction 2.7 Embeddings based on Matrix Factorization 2.7.1 Singular Value Decomposition (SVD) 2.7.2 Matrix Factorization based Clustering 2.7.3 Soft Clustering as Matrix Factorization 2.7.4 Non-negative Matrix factorization (NMF) 2.8 Word2vec 2.8.1 Skipgram model 2.9 Learning Network Embeddings 2.9.1 Supervised Learning 2.9.2 Unsupervised Learning 2.9.3 Node and Edge Embeddings 2.9.4 Graph Embedding 2.10 Summary 3 Deep Learning 3.1 Introduction 3.2 Neural Networks 3.2.1 Perceptron 3.2.2 Characteristics of Neural Networks 3.2.3 Multilayer Perceptron Networks 3.2.4 Training MLP Networks 3.3 Convolution Neural Networks 3.3.1 Activation Function 3.3.2 Initialization of Weights 3.3.3 Deep Feedforward Neural Network 3.4 Recurrent Networks 3.4.1 Recurrent Neural Networks 3.4.2 Long Short Term Memory 3.4.3 Different Gates used by LSTM 3.4.4 Training of LSTM Models 3.5 Learning Representations using Autoencoders 3.5.1 Types of Autoencoders 3.6 Summary References 4 Embedding Nodes and Edge 4.1 Introduction 4.2 Representation of Node and Edges as Vectors 4.3 Embeddings based on Random Walks 4.4 Embeddings based on Matrix Factorization 4.5 Graph Neural Network Models 4.6 State of the art algorithms 4.7 Evaluation methods and Machine Learning tasks 4.8 Summary References 5 Embedding Graphs 5.1 Introduction 5.2 Representation of Graphs as Vectors 5.3 Graph Representation using Node Embeddings 5.4 Graph Pooling Techniques 5.4.1 Global Pooling Methods 5.4.2 Hierarchical Pooling Methods 5.5 State of the art algorithms 5.6 Evaluation methods and Machine Learning tasks 5.7 Summary References
£49.49
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.
£116.99
Springer Nature Switzerland AG Thermal Spray Coatings
Book Synopsis
£107.99
