Numerical Methods and Analysis with Mathematical Modelling

Numerical Methods and Analysis with Mathematical Modelling PDF

Author: William P. Fox

Publisher: CRC Press

Published: 2024-08-07

Total Pages: 424

ISBN-13: 1040098134

DOWNLOAD EBOOK →

What sets Numerical Methods and Analysis with Mathematical Modelling apart are the modelling aspects utilizing numerical analysis (methods) to obtain solutions. The authors cover first the basic numerical analysis methods with simple examples to illustrate the techniques and discuss possible errors. The modelling prospective reveals the practical relevance of the numerical methods in context to real-world problems. At the core of this text are the real-world modelling projects. Chapters are introduced and techniques are discussed with common examples. A modelling scenario is introduced that will be solved with these techniques later in the chapter. Often, the modelling problems require more than one previously covered technique presented in the book. Fundamental exercises to practice the techniques are included. Multiple modelling scenarios per numerical methods illustrate the applications of the techniques introduced. Each chapter has several modelling examples that are solved by the methods described within the chapter. The use of technology is instrumental in numerical analysis and numerical methods. In this text, Maple, Excel, R, and Python are illustrated. The goal is not to teach technology but to illustrate its power and limitations to perform algorithms and reach conclusions. This book fulfills a need in the education of all students who plan to use technology to solve problems whether using physical models or true creative mathematical modeling, like discrete dynamical systems.

Numerical Analysis and Optimization

Numerical Analysis and Optimization PDF

Author: Grégoire Allaire

Publisher: OUP Oxford

Published: 2007-05-24

Total Pages: 472

ISBN-13: 0191525529

DOWNLOAD EBOOK →

This text, based on the author's teaching at École Polytechnique, introduces the reader to the world of mathematical modelling and numerical simulation. Covering the finite difference method; variational formulation of elliptic problems; Sobolev spaces; elliptical problems; the finite element method; Eigenvalue problems; evolution problems; optimality conditions and algorithms and methods of operational research, and including a several exercises throughout, this is an ideal text for advanced undergraduate students and graduates in applied mathematics, engineering, computer science, and the physical sciences.

Mathematical Modelling and Numerical Methods in Finance

Mathematical Modelling and Numerical Methods in Finance PDF

Author: Alain Bensoussan

Publisher: Elsevier

Published: 2009-06-16

Total Pages: 743

ISBN-13: 0080931006

DOWNLOAD EBOOK →

Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the three domains. Coverage of all aspects of quantitative finance including models, computational methods and applications Provides an overview of new ideas and results Contributors are leaders of the field

Mathematical Modeling and Numerical Techniques in Drying Technology

Mathematical Modeling and Numerical Techniques in Drying Technology PDF

Author: Ian Turner

Publisher: CRC Press

Published: 1996-09-19

Total Pages: 696

ISBN-13: 148229219X

DOWNLOAD EBOOK →

Offers information necessary for the development of mathematical models and numerical techniques to solve specific drying problems. The book addresses difficult issues involved with the drying equations of numerical analysis, including mesh generation, discretinization strategies, the nonlinear equation set and the linearized algebraic system, convergance criteria, time step control, experimental validation, optimum methods of visualization results, and more.

Numerical Analysis and Optimization

Numerical Analysis and Optimization PDF

Author: Grégoire Allaire

Publisher: Oxford University Press, USA

Published: 2007-05-24

Total Pages: 472

ISBN-13: 0199205213

DOWNLOAD EBOOK →

Numerical Analysis and Optimization familiarises students with mathematical models (PDEs) and methods of numerical solution and optimization. Including numerous exercises and examples, this is an ideal text for advanced students in Applied Mathematics, Engineering, Physical Science and Computer Science.

Advanced Numerical Methods for Differential Equations

Advanced Numerical Methods for Differential Equations PDF

Author: Harendra Singh

Publisher: CRC Press

Published: 2021-07-29

Total Pages: 336

ISBN-13: 1000381080

DOWNLOAD EBOOK →

Mathematical models are used to convert real-life problems using mathematical concepts and language. These models are governed by differential equations whose solutions make it easy to understand real-life problems and can be applied to engineering and science disciplines. This book presents numerical methods for solving various mathematical models. This book offers real-life applications, includes research problems on numerical treatment, and shows how to develop the numerical methods for solving problems. The book also covers theory and applications in engineering and science. Engineers, mathematicians, scientists, and researchers working on real-life mathematical problems will find this book useful.

Numerical Methods in Finance

Numerical Methods in Finance PDF

Author: L. C. G. Rogers

Publisher: Cambridge University Press

Published: 1997-06-26

Total Pages: 348

ISBN-13: 9780521573542

DOWNLOAD EBOOK →

Numerical Methods in Finance describes a wide variety of numerical methods used in financial analysis.

Mathematical Modelling

Mathematical Modelling PDF

Author: J. Caldwell

Publisher: Springer Science & Business Media

Published: 2004-03-31

Total Pages: 252

ISBN-13: 1402019912

DOWNLOAD EBOOK →

Over the past decade there has been an increasing demand for suitable material in the area of mathematical modelling as applied to science, engineering, business and management. Recent developments in computer technology and related software have provided the necessary tools of increasing power and sophistication which have significant implications for the use and role of mathematical modelling in the above disciplines. In the past, traditional methods have relied heavily on expensive experimentation and the building of scaled models, but now a more flexible and cost effective approach is available through greater use of mathematical modelling and computer simulation. In particular, developments in computer algebra, symbolic manipulation packages and user friendly software packages for large scale problems, all have important implications in both the teaching of mathematical modelling and, more importantly, its use in the solution of real world problems. Many textbooks have been published which cover the art and techniques of modelling as well as specific mathematical modelling techniques in specialist areas within science and business. In most of these books the mathematical material tends to be rather tailor made to fit in with a one or two semester course for teaching students at the undergraduate or postgraduate level, usually the former. This textbook is quite different in that it is intended to build on and enhance students’ modelling skills using a combination of case studies and projects.

Numerical Methods

Numerical Methods PDF

Author: Anne Greenbaum

Publisher: Princeton University Press

Published: 2012-04-01

Total Pages: 471

ISBN-13: 1400842670

DOWNLOAD EBOOK →

A rigorous and comprehensive introduction to numerical analysis Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals. Filled with appealing examples that will motivate students, the textbook considers modern application areas, such as information retrieval and animation, and classical topics from physics and engineering. Exercises use MATLAB and promote understanding of computational results. The book gives instructors the flexibility to emphasize different aspects—design, analysis, or computer implementation—of numerical algorithms, depending on the background and interests of students. Designed for upper-division undergraduates in mathematics or computer science classes, the textbook assumes that students have prior knowledge of linear algebra and calculus, although these topics are reviewed in the text. Short discussions of the history of numerical methods are interspersed throughout the chapters. The book also includes polynomial interpolation at Chebyshev points, use of the MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials are available online. Clear and concise exposition of standard numerical analysis topics Explores nontraditional topics, such as mathematical modeling and Monte Carlo methods Covers modern applications, including information retrieval and animation, and classical applications from physics and engineering Promotes understanding of computational results through MATLAB exercises Provides flexibility so instructors can emphasize mathematical or applied/computational aspects of numerical methods or a combination Includes recent results on polynomial interpolation at Chebyshev points and use of the MATLAB package Chebfun Short discussions of the history of numerical methods interspersed throughout Supplementary materials available online

A Theoretical Introduction to Numerical Analysis

A Theoretical Introduction to Numerical Analysis PDF

Author: Victor S. Ryaben'kii

Publisher: CRC Press

Published: 2006-11-02

Total Pages: 564

ISBN-13: 1000738280

DOWNLOAD EBOOK →

A Theoretical Introduction to Numerical Analysis presents the general methodology and principles of numerical analysis, illustrating these concepts using numerical methods from real analysis, linear algebra, and differential equations. The book focuses on how to efficiently represent mathematical models for computer-based study. An access