0
Your cart

Your cart is empty

Browse All Departments
Price
  • R50 - R100 (1)
  • R100 - R250 (2)
  • R250 - R500 (9)
  • R500+ (3,545)
  • -
Status
Format
Author / Contributor
Publisher

Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling

Mathematical Modelling with Case Studies - Using Maple and MATLAB, Third Edition (Hardcover, 3rd edition): B. Barnes, G..R.... Mathematical Modelling with Case Studies - Using Maple and MATLAB, Third Edition (Hardcover, 3rd edition)
B. Barnes, G..R. Fulford
R2,973 Discovery Miles 29 730 Ships in 12 - 17 working days

Mathematical Modelling with Case Studies: Using Maple (TM) and MATLAB (R), Third Edition provides students with hands-on modelling skills for a wide variety of problems involving differential equations that describe rates of change. While the book focuses on growth and decay processes, interacting populations, and heating/cooling problems, the mathematical techniques presented can be applied to many other areas. The text carefully details the process of constructing a model, including the conversion of a seemingly complex problem into a much simpler one. It uses flow diagrams and word equations to aid in the model-building process and to develop the mathematical equations. Employing theoretical, graphical, and computational tools, the authors analyze the behavior of the models under changing conditions. The authors often examine a model numerically before solving it analytically. They also discuss the validation of the models and suggest extensions to the models with an emphasis on recognizing the strengths and limitations of each model. The highly recommended second edition was praised for its lucid writing style and numerous real-world examples. With updated Maple (TM) and MATLAB (R) code as well as new case studies and exercises, this third edition continues to give students a clear, practical understanding of the development and interpretation of mathematical models.

Introduction to Mathematical Modeling and Computer Simulations (Hardcover): Vladimir Mityushev, Wojciech Nawalaniec, Natalia... Introduction to Mathematical Modeling and Computer Simulations (Hardcover)
Vladimir Mityushev, Wojciech Nawalaniec, Natalia Rylko
R2,294 Discovery Miles 22 940 Ships in 12 - 17 working days

Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications, without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions, making it accessible for first- and second-year students. Chapter 1 and the Preface of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license available at http://www.taylorfrancis.com/books/e/9781315277240

Engineering Principles of Combat Modeling and Distributed Simulation (Hardcover): A Tolk Engineering Principles of Combat Modeling and Distributed Simulation (Hardcover)
A Tolk
R3,763 Discovery Miles 37 630 Ships in 12 - 17 working days

Explore the military and combat applications of modeling and simulation

"Engineering Principles of Combat Modeling and Distributed Simulation" is the first book of its kind to address the three perspectives that simulation engineers must master for successful military and defense related modeling: the operational view (what needs to be modeled); the conceptual view (how to do combat modeling); and the technical view (how to conduct distributed simulation). Through methods from the fields of operations research, computer science, and engineering, readers are guided through the history, current training practices, and modern methodology related to combat modeling and distributed simulation systems. Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling and distributed simulation and features the following four sections: Foundations introduces relevant topics and recommended practices, providing the needed basis for understanding the challenges associated with combat modeling and distributed simulation.Combat Modeling focuses on the challenges in human, social, cultural, and behavioral modeling such as the core processes of "move, shoot, look, and communicate" within a synthetic environment and also equips readers with the knowledge to fully understand the related concepts and limitations.Distributed Simulation introduces the main challenges of advanced distributed simulation, outlines the basics of validation and verification, and exhibits how these systems can support the operational environment of the warfighter.Advanced Topics highlights new and developing special topic areas, including mathematical applications fo combat modeling; combat modeling with high-level architecture and base object models; and virtual and interactive digital worlds.

Featuring practical examples and applications relevant to industrial and government audiences, "Engineering Principles of Combat Modeling and Distributed Simulation" is an excellent resource for researchers and practitioners in the fields of operations research, military modeling, simulation, and computer science. Extensively classroom tested, the book is also ideal for courses on modeling and simulation; systems engineering; and combat modeling at the graduate level.

A Concrete Approach to Mathematical Modelling (Paperback): M Mesterton-Gibbo A Concrete Approach to Mathematical Modelling (Paperback)
M Mesterton-Gibbo
R3,778 Discovery Miles 37 780 Ships in 12 - 17 working days

WILEY-INTERSCIENCE PAPERBACK SERIES

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

" . . . [a] treasure house of material for students and teachers alike . . . can be dipped into regularly for inspiration and ideas. It deserves to become a classic."
--London Times Higher Education Supplement

"The author succeeds in his goal of serving the needs of the undergraduate population who want to see mathematics in action, and the mathematics used is extensive and provoking."
--SIAM Review

"Each chapter discusses a wealth of examples ranging from old standards . . . to novelty . . . each model is developed critically, analyzed critically, and assessed critically."
--Mathematical Reviews

A Concrete Approach to Mathematical Modelling provides in-depth and systematic coverage of the art and science of mathematical modelling. Dr. Mesterton-Gibbons shows how the modelling process works and includes fascinating examples from virtually every realm of human, machine, natural, and cosmic activity. Various models are found throughout the book, including how to determine how fast cars drive through a tunnel, how many workers industry should employ, the length of a supermarket checkout line, and more. With detailed explanations, exercises, and examples demonstrating real-life applications in diverse fields, this book is the ultimate guide for students andprofessionals in the social sciences, life sciences, engineering, statistics, economics, politics, business and management sciences, and every other discipline in which mathematical modelling plays a role.

Introduction to the Theory of Optimization in Euclidean Space (Hardcover): Samia Challal Introduction to the Theory of Optimization in Euclidean Space (Hardcover)
Samia Challal
R3,053 Discovery Miles 30 530 Ships in 12 - 17 working days

Introduction to the Theory of Optimization in Euclidean Space is intended to provide students with a robust introduction to optimization in Euclidean space, demonstrating the theoretical aspects of the subject whilst also providing clear proofs and applications. Students are taken progressively through the development of the proofs, where they have the occasion to practice tools of differentiation (Chain rule, Taylor formula) for functions of several variables in abstract situations. Throughout this book, students will learn the necessity of referring to important results established in advanced Algebra and Analysis courses. Features Rigorous and practical, offering proofs and applications of theorems Suitable as a textbook for advanced undergraduate students on mathematics or economics courses, or as reference for graduate-level readers Introduces complex principles in a clear, illustrative fashion

Statistical Analysis and Modelling of Spatial Point Patterns (Hardcover): Jillian Statistical Analysis and Modelling of Spatial Point Patterns (Hardcover)
Jillian
R3,120 Discovery Miles 31 200 Ships in 12 - 17 working days

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material.

Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience.

The book:

Provides an introduction to spatial point patterns for researchers across numerous areas of application.

Adopts an extremely accessible style, allowing the non-statistician complete understanding.

Describes the process of extracting knowledge from the data, emphasising the marked point process.

Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science.

Features a supplementary website containing example datasets.

Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.

Companion website:

www.wiley.com/go/penttinen

Cellular Automata - A Discrete View of the World (Hardcover): J.L. Schiff Cellular Automata - A Discrete View of the World (Hardcover)
J.L. Schiff
R3,920 Discovery Miles 39 200 Ships in 12 - 17 working days

An accessible and multidisciplinaryintroduction to cellular automata

As the applicability of cellular automata broadens and technology advances, there is a need for a concise, yet thorough, resource that lays the foundation of key cellularautomata rules and applications. In recent years, Stephen Wolfram's A New Kind of Science has brought the modeling power that lies in cellular automata to the attentionof the scientific world, and now, Cellular Automata: A Discrete View of the World presents all the depth, analysis, and applicability of the classic Wolfram text in a straightforward, introductory manner. This book offers an introduction to cellular automata as a constructive method for modeling complex systems where patterns of self-organization arising from simple rules are revealed in phenomena that exist across a wide array of subject areas, including mathematics, physics, economics, and the social sciences.

The book begins with a preliminary introduction to cellular automata, including a brief history of the topic along with coverage of sub-topics such as randomness, dimension, information, entropy, and fractals. The author then provides a complete discussion of dynamical systems and chaos due to their close connection with cellular automata and includes chapters that focus exclusively on one- and two-dimensional cellular automata. The next and most fascinating area of discussion is the application of these types of cellular automata in order to understand the complex behavior that occurs in natural phenomena. Finally, the continually evolving topic of complexity is discussed with a focus on how to properly define, identify, and marvel at its manifestations in various environments.

The author's focus on the most important principles of cellular automata, combined with his ability to present complex material in an easy-to-follow style, makes this book a very approachable and inclusive source for understanding the concepts and applications of cellular automata. The highly visual nature of the subject is accented with over 200 illustrations, including an eight-page color insert, which provide vivid representations of the cellular automata under discussion. Readers also have the opportunity to follow and understand the models depicted throughout the text and create their own cellular automata using Java applets and simple computer code, which are available via the book's FTP site. This book serves as a valuable resource for undergraduate and graduate students in the physical, biological, and social sciences and may also be of interest to any reader with a scientific or basic mathematical background.

Prognostic Models in Healthcare: AI and Statistical Approaches (Hardcover, 1st ed. 2022): Tanzila Saba, Amjad Rehman, Sudipta... Prognostic Models in Healthcare: AI and Statistical Approaches (Hardcover, 1st ed. 2022)
Tanzila Saba, Amjad Rehman, Sudipta Roy
R5,579 Discovery Miles 55 790 Ships in 12 - 17 working days

This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.

Mathematical Elasticity, Three Volume Set (Paperback): Philippe G. Ciarlet Mathematical Elasticity, Three Volume Set (Paperback)
Philippe G. Ciarlet
R6,767 Discovery Miles 67 670 Ships in 12 - 17 working days

The Mathematical Elasticity set contains three self-contained volumes that together provide the only modern treatise on elasticity. They introduce contemporary research on three-dimensional elasticity, the theory of plates, and the theory of shells. Each volume contains proofs, detailed surveys of all mathematical prerequisites, and many problems for teaching and self-study. An extended preface and extensive bibliography have been added to each volume to highlight the progress that has been made since the original publication. The first book, Three-Dimensional Elasticity, covers the modeling and mathematical analysis of nonlinear three-dimensional elasticity. In volume two, Theory of Plates, asymptotic methods provide a rigorous mathematical justification of the classical two-dimensional linear plate and shallow shell theories. The objective of Theory of Shells, the final volume, is to show how asymptotic methods provide a rigorous mathematical justification of the classical two-dimensional linear shell theories: membrane, generalized membrane, and flexural. These classic textbooks are for advanced undergraduates, first-year graduate students, and researchers in pure or applied mathematics or continuum mechanics. They are appropriate for courses in mathematical elasticity, theory of plates and shells, continuum mechanics, computational mechanics, and applied mathematics in general.

Modeling to Inform Infectious Disease Control (Paperback): Niels G. Becker Modeling to Inform Infectious Disease Control (Paperback)
Niels G. Becker
R1,860 Discovery Miles 18 600 Ships in 12 - 17 working days

Effectively Assess Intervention Options for Controlling Infectious Diseases Our experiences with the human immunodeficiency virus (HIV), severe acute respiratory syndrome (SARS), and Ebola virus disease (EVD) remind us of the continuing need to be vigilant against the emergence of new infectious diseases. Mathematical modeling is increasingly used in the management of infectious disease control as a way to assess interventions relatively quickly, cheaply, and safely. Modeling to Inform Infectious Disease Control shows readers how to take advantage of these models when developing strategies to mitigate infectious disease transmission. The book presents a way of modeling as well as modeling results that help to guide the effective management of infectious disease transmission and outbreak response. It discusses the requirements for preventing epidemics and ways to quantify the impact of preventative public health interventions on the size and dynamics of an epidemic. The book also illustrates how data are used to inform model choice. Accessible to readers with diverse backgrounds, this book explains how to gain insight into the management of infectious diseases through statistical modeling. With end-of-chapter exercises and glossaries of infectious disease terminology and notation, the text is suitable for a graduate-level public health course. Supplementary technical material is provided at the end of each chapter for readers with a stronger background in mathematics and an interest in the art of modeling. In addition, bibliographic notes point readers to literature in which extensions and more general results can be found.

An Introduction to Mathematical Modeling - A Course in Mechanics (Hardcover): J.T. Oden An Introduction to Mathematical Modeling - A Course in Mechanics (Hardcover)
J.T. Oden
R3,217 Discovery Miles 32 170 Ships in 12 - 17 working days

A modern approach to mathematical modeling, featuring unique applications from the field of mechanics

An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics.

The author streamlines a comprehensive understanding of the topic in three clearly organized sections:

Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular momentum; conservation of energy; and constitutive equations

Electromagnetic Field Theory and Quantum Mechanics contains a brief account of electromagnetic wave theory and Maxwell's equations as well as an introductory account of quantum mechanics with related topics including ab initio methods and Spin and Pauli's principles

Statistical Mechanics presents an introduction to statistical mechanics of systems in thermodynamic equilibrium as well as continuum mechanics, quantum mechanics, and molecular dynamics

Each part of the book concludes with exercise sets that allow readers to test their understanding of the presented material. Key theorems and fundamental equations are highlighted throughout, and an extensive bibliography outlines resources for further study.

Extensively class-tested to ensure an accessible presentation, An Introduction to Mathematical Modeling is an excellent book for courses on introductory mathematical modeling and statistical mechanics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.

Handbook of Dynamic System Modeling (Paperback): Paul A. Fishwick Handbook of Dynamic System Modeling (Paperback)
Paul A. Fishwick
R1,929 Discovery Miles 19 290 Ships in 12 - 17 working days

The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic System Modeling explores a panoply of different types of modeling methods available for dynamical systems. Featuring an interdisciplinary, balanced approach, the handbook focuses on both generalized dynamic knowledge and specific models. It first introduces the general concepts, representations, and philosophy of dynamic models, followed by a section on modeling methodologies that explains how to portray designed models on a computer. After addressing scale, heterogeneity, and composition issues, the book covers specific model types that are often characterized by specific visual- or text-based grammars. It concludes with case studies that employ two well-known commercial packages to construct, simulate, and analyze dynamic models. A complete guide to the fundamentals, types, and applications of dynamic models, this handbook shows how systems function and are represented over time and space and illustrates how to select a particular model based on a specific area of interest.

Modelling Methods for Energy in Buildings (Hardcover, New): C. Underwood Modelling Methods for Energy in Buildings (Hardcover, New)
C. Underwood
R3,787 Discovery Miles 37 870 Ships in 12 - 17 working days

Climate change mitigation and sustainable practices are now at the top of political and technical agendas. Environmental system modelling provides a way of appraising options and this book will make a significant contribution to the uptake of such systems. It provides knowledge of the principles involved in modelling systems, builds confidence amongst designers and offers a broad perspective of the potential of these new technologies.

The aim of the book is to provide an understanding of the concepts and principles behind predictive modelling methods; review progress in the development of the modelling software available; and explore modelling in building design through international case studies based on real design problems.

Bioremediation and Natural Attenuation - Process Fundamentals and Mathematical Models (Hardcover): PJ Alvarez Bioremediation and Natural Attenuation - Process Fundamentals and Mathematical Models (Hardcover)
PJ Alvarez
R3,846 Discovery Miles 38 460 Ships in 12 - 17 working days

A groundbreaking text and professional resource on natural attenuation technology
Natural attenuation is rapidly becoming a widely used approach to manage groundwater and soil contamination by hazardous substances in petroleum-product releases and leachate from hazardous waste sites and landfills. This book provides, under one cover, the current methodologies needed by groundwater scientists and engineers in their efforts to evaluate subsurface contamination problems, to estimate risk to human health and ecosystems through mathematical models, and to design and formulate appropriate remediation strategies.
Incorporating the authors' extensive backgrounds as educators, researchers, and consultants in environmental biotechnology and hydrogeology, the text emphasizes new concepts and recent advances in the science, including:
* Quantification of the role of microbes in natural attenuation
* Biodegradation and chemical transformation principles
* Immobilization and phase change
* Biotransformation mechanisms
* Groundwater flow and contaminant transport
* Analytical models for contaminant transport and reaction processes
* Numerical modeling of contaminant transport, transformation, and degradation
Detailed descriptions of fundamental processes, characterization approaches, and analytical and numerical methods tied to relevant real-world applications make Bioremediation and Natural Attenuation: Process Fundamentals and Mathematical Models both a timely course text in hydrogeology and environmental engineering and a valuable reference for anyone in the groundwater or risk assessment professions.

Handbook of Abductive Cognition (Hardcover, 1st ed. 2023): Lorenzo Magnani Handbook of Abductive Cognition (Hardcover, 1st ed. 2023)
Lorenzo Magnani
R15,783 Discovery Miles 157 830 Ships in 10 - 15 working days

This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.

Introduction to Computational Modeling Using C and Open-Source Tools (Paperback): Jose M. Garrido Introduction to Computational Modeling Using C and Open-Source Tools (Paperback)
Jose M. Garrido
R1,887 Discovery Miles 18 870 Ships in 12 - 17 working days

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at ksuweb.kennesaw.edu/~jgarrido/comp_models. The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems. Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.

Quantitative Methods for Finance and Investments (Paperback): JL Teall Quantitative Methods for Finance and Investments (Paperback)
JL Teall
R977 Discovery Miles 9 770 Ships in 12 - 17 working days

"

Quantitative Methods for Finance and Investments" ensures that readers will gain a reasonable degree of comfort and proficiency in applying elementary mathematics to financial analysis in a variety of areas. All of the methodology in this book is geared toward the development, implementation, and analysis of financial models to solve problems encountered by both finance students and practitioners. The book:
analyzes theoretical and practitioner-oriented models long with the mathematics required to construct them
presents the most essential mathematical techniques and their applications to financial analysis
provides dozens of practical applications, examples, and end-of-chapter exercises with detailed solutions
demonstrates key spreadsheet applications of the mathematical models in chapter appendices
emphasizes practical applications of modeling technique.

Uncertainty Quantification and Stochastic Modelling with EXCEL (Hardcover, 1st ed. 2022): Eduardo Souza De Cursi Uncertainty Quantification and Stochastic Modelling with EXCEL (Hardcover, 1st ed. 2022)
Eduardo Souza De Cursi
R2,876 Discovery Miles 28 760 Ships in 12 - 17 working days

This book presents techniques for determining uncertainties in numerical solutions with applications in the fields of business administration, civil engineering, and economics, using Excel as a computational tool. Also included are solutions to uncertainty problems involving stochastic methods. The list of topics specially covered in this volume includes linear and nonlinear programming, Lagrange multipliers (for sensitivity), multi objective optimization, and Game Theory, as well as linear algebraic equations, and probability and statistics. The book also provides a selection of numerical methods developed for Excel, in order to enhance readers' understanding. As such, it offers a valuable guide for all graduate and undergraduate students in the fields of economics, business administration, civil engineering, and others that rely on Excel as a research tool.

Numerical Methods in Physics with Python (Paperback, 2nd Revised edition): Alex Gezerlis Numerical Methods in Physics with Python (Paperback, 2nd Revised edition)
Alex Gezerlis
R1,563 Discovery Miles 15 630 Ships in 9 - 15 working days

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

Modeling and Simulation of Everyday Things (Hardcover): Michael W. Roth Modeling and Simulation of Everyday Things (Hardcover)
Michael W. Roth
R5,256 Discovery Miles 52 560 Ships in 12 - 17 working days

How can computer modeling and simulation tools be used to understand and analyze common situations and everyday problems? Readers will find here an easy-to-follow, enjoyable introduction for anyone even with little background training. Examples are incorporated throughout to stimulate interest and engage the reader. Build the necessary skillsets with operating systems, editing, languages, commands, and visualization. Obtain hands-on examples from sports, accidents, and disease to problems of heat transfer, fluid flow, waves, and groundwater flow. Includes discussion of parallel computing and graphics processing units. This introductory, practical guide is suitable for students at any level up to professionals looking to use modeling and simulation to help solve basic to more advanced problems. Michael W. Roth, PhD, serves as Dean of the School of STEM and Business at Hawkeye Community College in Waterloo, Iowa. He was most recently Chair for three years at Northern Kentucky University's Department of Physics, Geology and Engineering Technology, and holds several awards for teaching excellence.

Theory and Technology of Roll Stamping (Hardcover, 1st ed. 2022): Vyacheslav Aleksandrovich Golenkov, Sergey Yuryevich... Theory and Technology of Roll Stamping (Hardcover, 1st ed. 2022)
Vyacheslav Aleksandrovich Golenkov, Sergey Yuryevich Radchenko, Daniil Olegovich Dorokhov
R4,194 Discovery Miles 41 940 Ships in 12 - 17 working days

This book gives a complete overview of the roll stamping process of metal forming. This fundamentally new technique features an integrated local loading of the plastic deformation zone of the workpiece, simultaneously combining the die forging operation and local deformation of the deformation zone by rotating rollers or drive rolls. The book presents the basics of the theory behind roll stamping, delivering a complete technical analysis including the key results of mathematical modeling studies and a discussion of methodologies for designing novel roll stamping techniques. The aim of the new metal forming processes proposed in the book is directed toward the production of competitive equipment for fabrication of various mechanical parts having enhanced materials and physical properties in combination with a low cost of production and maintenance. This book is an ideal resource for any student or practicing engineer working with the roll stamping process.

Perspectives in Dynamical Systems II: Mathematical and Numerical Approaches - DSTA, Lodz, Poland December 2-5, 2019 (Hardcover,... Perspectives in Dynamical Systems II: Mathematical and Numerical Approaches - DSTA, Lodz, Poland December 2-5, 2019 (Hardcover, 1st ed. 2021)
Jan Awrejcewicz
R4,465 Discovery Miles 44 650 Ships in 12 - 17 working days

This 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 Lodz, 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.

Handbook of Food Process Modeling and Statistical Quality Control (Paperback): Mustafa O. Zilgen Handbook of Food Process Modeling and Statistical Quality Control (Paperback)
Mustafa O. Zilgen
R2,454 R2,034 Discovery Miles 20 340 Save R420 (17%) Ships in 12 - 17 working days

Fundamental techniques of mathematical modeling of processes essential to the food industry are explained in this text. Instead of concentrating on detailed theoretical analysis and mathematical derivations, important mathematical prerequisites are presented in summary tables. Readers' attention is focused on understanding modeling techniques, rather than the finer mathematical points.
Topics covered include modeling of transport phenomena, kinetic processes, and food engineering operations. Statistical process analysis and quality control as applied to the food industry are also discussed. The book's main feature is the large number of worked examples presented throughout. Included are examples from almost every conceivable food process, most of which are based on real data given in the many references. Each example is followed by a clear, step- by-step worked solution.

Modal Homotopy Type Theory - The Prospect of a New Logic for Philosophy (Hardcover): David Corfield Modal Homotopy Type Theory - The Prospect of a New Logic for Philosophy (Hardcover)
David Corfield
R2,908 Discovery Miles 29 080 Ships in 10 - 15 working days

"The old logic put thought in fetters, while the new logic gives it wings." For the past century, philosophers working in the tradition of Bertrand Russell - who promised to revolutionise philosophy by introducing the 'new logic' of Frege and Peano - have employed predicate logic as their formal language of choice. In this book, Dr David Corfield presents a comparable revolution with a newly emerging logic - modal homotopy type theory. Homotopy type theory has recently been developed as a new foundational language for mathematics, with a strong philosophical pedigree. Modal Homotopy Type Theory: The Prospect of a New Logic for Philosophy offers an introduction to this new language and its modal extension, illustrated through innovative applications of the calculus to language, metaphysics, and mathematics. The chapters build up to the full language in stages, right up to the application of modal homotopy type theory to current geometry. From a discussion of the distinction between objects and events, the intrinsic treatment of structure, the conception of modality as a form of general variation to the representation of constructions in modern geometry, we see how varied the applications of this powerful new language can be.

Cellular Biophysics and Modeling - A Primer on the Computational Biology of Excitable Cells (Paperback): Greg Conradi Smith Cellular Biophysics and Modeling - A Primer on the Computational Biology of Excitable Cells (Paperback)
Greg Conradi Smith
R1,317 Discovery Miles 13 170 Ships in 12 - 17 working days

What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, this text provides an introduction to the simulation and modeling of dynamic phenomena in cell biology and neuroscience. It introduces mathematical modeling techniques alongside cellular electrophysiology. Topics include membrane transport and diffusion, the biophysics of excitable membranes, the gating of voltage and ligand-gated ion channels, intracellular calcium signalling, and electrical bursting in neurons and other excitable cell types. It introduces mathematical modeling techniques such as ordinary differential equations, phase plane, and bifurcation analysis of single-compartment neuron models. With analytical and computational problem sets, this book is suitable for life sciences majors, in biology to neuroscience, with one year of calculus, as well as graduate students looking for a primer on membrane excitability and calcium signalling.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
The Basics of Practical Optimization
Adam B. Levy Paperback R1,851 Discovery Miles 18 510
Advanced Numerical Modeling and Data…
U.C. Mohanty, Sundararaman.G. Gopalakrishnan Hardcover R4,624 Discovery Miles 46 240
Best Books gegradeerde leesreeks: Vlak 1…
Best Books Paperback R85 R73 Discovery Miles 730
Springer Handbook of Spacetime
Abhay Ashtekar, Vesselin Petkov Hardcover R7,835 Discovery Miles 78 350
SABR and SABR LIBOR Market Models in…
Christian Crispoldi, Gerald Wigger, … Hardcover R2,402 Discovery Miles 24 020
Mathematics and Archaeology
Juan A. Barcelo, Igor Bogdanovic Paperback R1,448 Discovery Miles 14 480
Handbook of Digital Games and…
Ryohei Nakatsu, Matthias Rauterberg, … Hardcover R22,940 Discovery Miles 229 400
Data-Driven Science and Engineering…
Steven L. Brunton, J. Nathan Kutz Hardcover R1,687 R1,593 Discovery Miles 15 930
The Theory of Composites
Graeme W. Milton Paperback R2,795 Discovery Miles 27 950
Currents in Industrial Mathematics…
Helmut Neunzert, Dieter Pratzel-Wolters Hardcover R4,366 Discovery Miles 43 660

 

Partners