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Practical Numerical Mathematics with MATLAB: A Solutions, Myron M Sussman


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Автор: Myron M Sussman
Название:  Practical Numerical Mathematics with MATLAB: A Solutions
ISBN: 9789811240690
Издательство: World Scientific Publishing
Издательство: World Scientific Publishing Company
Классификация:
ISBN-10: 9811240698
Обложка/Формат: Hardback
Страницы: 320
Вес: 0.71 кг.
Дата издания: 13.08.2021
Серия: Mathematics
Язык: English
Размер: 24.41 x 16.99 x 2.87 cm
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Calculus & mathematical analysis,Numerical analysis, MATHEMATICS / Algebra / General,MATHEMATICS / Differential Equations / Partial,MATHEMATICS / Numerical Analysis
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Поставляется из: США
Описание:

This workbook and solutions manual is intended for advanced undergraduate or beginning graduate students as a supplement to a traditional course in numerical mathematics and as preparation for independent research involving numerical mathematics. The solutions manual provides complete MATLAB code and numerical results for each of the exercises in the workbook and will be especially useful for those students without previous MATLAB programming experience. It is also valuable for classroom instructors to help pinpoint the authors intent in each exercise and to provide a model for graders. Upon completion of this material, students will have a working knowledge of MATLAB programming, they will have themselves programmed algorithms encountered in classwork and textbooks, and they will know how to check and verify their own programs against hand calculations and by reference to theoretical results, special polynomial solutions and other specialized solutions. No previous programming experience with MATLAB is necessary.



Numerical Models for Differential Problems

Автор: Alfio Quarteroni
Название: Numerical Models for Differential Problems
ISBN: 3319493159 ISBN-13(EAN): 9783319493152
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book introduces the basic concepts for the numerical modelling of partial differential equations. It details algorithmic and computer implementation aspects and provides a number of easy-to-use programs.

Numerical linear algebra

Автор: Bornemann, Folkmar
Название: Numerical linear algebra
ISBN: 3319742213 ISBN-13(EAN): 9783319742212
Издательство: Springer
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Цена: 51230.00 T
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Описание: Preface.- I Computing with Matrices.- II Matrix Factorization.- III Error Analysis.- IV Least Squares.- V Eigenvalue Problems.- Appendix.- Notation.- Index.

Periodic Solutions of Nonlinear Dynamical Systems

Автор: Eduard Reithmeier
Название: Periodic Solutions of Nonlinear Dynamical Systems
ISBN: 3540545123 ISBN-13(EAN): 9783540545125
Издательство: Springer
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Цена: 23280.00 T
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Описание: Addressing mathematicians and engineers working with nonlinear dynamics, this monograph describes the multiple shooting method, which is employed in numerically computing limit cycles. The theory is supported by numerous examples, mainly from the field of nonlinear vibrations.

Mathematical Model of Spontaneous Potential Well-Logging and Its Numerical Solutions

Автор: Tatsien Li; Yongji Tan; Zhijie Cai; Wei Chen; Jing
Название: Mathematical Model of Spontaneous Potential Well-Logging and Its Numerical Solutions
ISBN: 3642414249 ISBN-13(EAN): 9783642414244
Издательство: Springer
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Цена: 46570.00 T
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Описание: This monograph, the first of its kind on the mathematical model of spontaneous potential well-logging, proves the well-posedness of the model, and proposes three efficient schemes of numerical solution, supported by a number of numerical examples.

Richardson Extrapolation: Practical Aspects and Applications

Автор: Zahari Zlatev, Ivan Dimov, Istvan Farago, Agnes Havasi
Название: Richardson Extrapolation: Practical Aspects and Applications
ISBN: 3110516497 ISBN-13(EAN): 9783110516494
Издательство: Walter de Gruyter
Цена: 148700.00 T
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Описание:

Scientists and engineers are mainly using Richardson extrapolation as a computational tool for increasing the accuracy of various numerical algorithms for the treatment of systems of ordinary and partial differential equations and for improving the computational efficiency of the solution process by the automatic variation of the time-stepsizes. A third issue, the stability of the computations, is very often the most important one and, therefore, it is the major topic studied in all chapters of this book.
Clear explanations and many examples make this text an easy-to-follow handbook for applied mathematicians, physicists and engineers working with scientific models based on differential equations.

 

Contents
The basic properties of Richardson extrapolation
Richardson extrapolation for explicit Runge-Kutta methods
Linear multistep and predictor-corrector methods
Richardson extrapolation for some implicit methods
Richardson extrapolation for splitting techniques
Richardson extrapolation for advection problems
Richardson extrapolation for some other problems
General conclusions


Practical Optimization

Автор: Philip E. Gill, Walter Murray, Margaret H. Wright
Название: Practical Optimization
ISBN: 161197559X ISBN-13(EAN): 9781611975598
Издательство: Mare Nostrum (Eurospan)
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Цена: 63950.00 T
Наличие на складе: Невозможна поставка.
Описание: In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization.This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, “big data,” and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.

Mathematical Modelling, Optimization, Analytic and Numerical Solutions

Автор: Manchanda Pammy, Lozi Renй Pierre, Siddiqi Abul Hasan
Название: Mathematical Modelling, Optimization, Analytic and Numerical Solutions
ISBN: 9811509271 ISBN-13(EAN): 9789811509278
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Нет в наличии.

PETSc for Partial Differential Equations: Numerical Solutions in C and Python

Автор: Ed Bueler
Название: PETSc for Partial Differential Equations: Numerical Solutions in C and Python
ISBN: 1611976308 ISBN-13(EAN): 9781611976304
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Невозможна поставка.
Описание: The Portable, Extensible Toolkit for Scientific Computation (PETSc) is an open-source library of advanced data structures and methods for solving linear and nonlinear equations and for managing discretizations. This book uses these modern numerical tools to demonstrate how to solve nonlinear partial differential equations (PDEs) in parallel. It starts from key mathematical concepts, such as Krylov space methods, preconditioning, multigrid, and Newton’s method. In PETSc these components are composed at run time into fast solvers.Discretizations are introduced from the beginning, with an emphasis on finite difference and finite element methodologies. The example C programs of the first 12 chapters, listed on the inside front cover, solve (mostly) elliptic and parabolic PDE problems. Discretization leads to large, sparse, and generally nonlinear systems of algebraic equations. For such problems, mathematical solver concepts are explained and illustrated through the examples, with sufficient context to speed further development. PETSc for Partial Differential Equations addresses both discretizations and fast solvers for PDEs, emphasizing practice more than theory. Well-structured examples lead to run-time choices that result in high solver performance and parallel scalability. The last two chapters build on the reader’s understanding of fast solver concepts when applying the Firedrake Python finite element solver library. This textbook, the first to cover PETSc programming for nonlinear PDEs, provides an on-ramp for graduate students and researchers to a major area of high-performance computing for science and engineering. It is suitable as a supplement for courses in scientific computing or numerical methods for differential equations.

Numerical Methods For Engineers: A Practical Approach

Автор: Abdulmajeed A Mohamad, Adel M Benselama
Название: Numerical Methods For Engineers: A Practical Approach
ISBN: 9811255253 ISBN-13(EAN): 9789811255250
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: The unique compendium is an introductory reference to learn the most popular numerical methods cohesively. The text focuses on practical applications rather than on abstract and heavy analytical concepts. The key elements of the numerical methods are Taylor series and linear algebra. Based on the authors' years of experience, most materials on the text are tied to those elements in a unified manner.The useful reference manual benefits professionals, researchers, academics, senior undergraduate and graduate students in chemical engineering, civil engineering, mechanical engineering and aerospace engineering.

Numerical Solutions of Boundary Value Problems with So-Called Shooting Method

Автор: Sujaul Chowdhury
Название: Numerical Solutions of Boundary Value Problems with So-Called Shooting Method
ISBN: 1685070396 ISBN-13(EAN): 9781685070397
Издательство: Nova Science
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Цена: 182680.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents in comprehensive detail numerical solutions to boundary value problems of a number of differential equations using the so-called Shooting Method. 4th order Runge-Kutta method, Newtons forward difference interpolation method and bisection method for root finding have been employed in this regard. Programs in Mathematica 6.0 were written to obtain the numerical solutions. This monograph on Shooting Method is the only available detailed resource of the topic.

Numerical Analysis Using R

Автор: Griffiths
Название: Numerical Analysis Using R
ISBN: 1107115612 ISBN-13(EAN): 9781107115613
Издательство: Cambridge Academ
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Цена: 78150.00 T
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Описание: This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods for a wide range of problems and illustrates them in the increasingly popular open source language R, allowing integration with more statistical methods.

Solutions Manual to Accompany An Introduction to Numerical Methods and Analysis Revised Edition

Автор: Epperson
Название: Solutions Manual to Accompany An Introduction to Numerical Methods and Analysis Revised Edition
ISBN: 0470603518 ISBN-13(EAN): 9780470603512
Издательство: Wiley
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Цена: 37960.00 T
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Описание: Praise for the First Edition "... outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises. " -Zentrablatt Math "... carefully structured with many detailed worked examples... " -The Mathematical Gazette "...


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