A Survey of Numerical Mathematics
Author: David M. Young, Robert Todd Gregory
Publisher:
Published: 1973
Total Pages: 676
ISBN-13:
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Numerical Methods for Ordinary Differential Equations
Author: J. C. Butcher
Publisher: John Wiley & Sons
Published: 2004-08-20
Total Pages: 442
ISBN-13: 0470868260
DOWNLOAD EBOOKThis new book updates the exceptionally popular Numerical Analysis of Ordinary Differential Equations. "This book is...an indispensible reference for any researcher."-American Mathematical Society on the First Edition. Features: * New exercises included in each chapter. * Author is widely regarded as the world expert on Runge-Kutta methods * Didactic aspects of the book have been enhanced by interspersing the text with exercises. * Updated Bibliography.
Classical and Modern Numerical Analysis
Author: Azmy S. Ackleh
Publisher: CRC Press
Published: 2009-07-20
Total Pages: 628
ISBN-13: 1420091581
DOWNLOAD EBOOKClassical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.The text covers the main areas o
Survey of Numerical Analysis
Author: John Todd
Publisher:
Published: 1962
Total Pages: 616
ISBN-13:
DOWNLOAD EBOOKNumerical Analysis of Spectral Methods
Author: David Gottlieb
Publisher: SIAM
Published: 1977-01-01
Total Pages: 167
ISBN-13: 0898710235
DOWNLOAD EBOOKA unified discussion of the formulation and analysis of special methods of mixed initial boundary-value problems. The focus is on the development of a new mathematical theory that explains why and how well spectral methods work. Included are interesting extensions of the classical numerical analysis.
Scientific Computing
Author: Michael T. Heath
Publisher: SIAM
Published: 2018-11-14
Total Pages: 587
ISBN-13: 1611975573
DOWNLOAD EBOOKThis book differs from traditional numerical analysis texts in that it focuses on the motivation and ideas behind the algorithms presented rather than on detailed analyses of them. It presents a broad overview of methods and software for solving mathematical problems arising in computational modeling and data analysis, including proper problem formulation, selection of effective solution algorithms, and interpretation of results.? In the 20 years since its original publication, the modern, fundamental perspective of this book has aged well, and it continues to be used in the classroom. This Classics edition has been updated to include pointers to Python software and the Chebfun package, expansions on barycentric formulation for Lagrange polynomial interpretation and stochastic methods, and the availability of about 100 interactive educational modules that dynamically illustrate the concepts and algorithms in the book. Scientific Computing: An Introductory Survey, Second Edition is intended as both a textbook and a reference for computationally oriented disciplines that need to solve mathematical problems.
Numerical Algorithms
Author: Justin Solomon
Publisher: CRC Press
Published: 2015-06-24
Total Pages: 400
ISBN-13: 1482251892
DOWNLOAD EBOOKNumerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
Solution Methods for Integral Equations
Author: M. A. Goldberg
Publisher: Springer Science & Business Media
Published: 2013-11-21
Total Pages: 351
ISBN-13: 1475714661
DOWNLOAD EBOOKAn Introduction to Numerical Methods and Analysis
Author: James F. Epperson
Publisher: John Wiley & Sons
Published: 2013-06-06
Total Pages: 579
ISBN-13: 1118626230
DOWNLOAD EBOOKPraise 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 ". . . an up-to-date and user-friendly account . . ." —Mathematika An Introduction to Numerical Methods and Analysis addresses the mathematics underlying approximation and scientific computing and successfully explains where approximation methods come from, why they sometimes work (or don't work), and when to use one of the many techniques that are available. Written in a style that emphasizes readability and usefulness for the numerical methods novice, the book begins with basic, elementary material and gradually builds up to more advanced topics. A selection of concepts required for the study of computational mathematics is introduced, and simple approximations using Taylor's Theorem are also treated in some depth. The text includes exercises that run the gamut from simple hand computations, to challenging derivations and minor proofs, to programming exercises. A greater emphasis on applied exercises as well as the cause and effect associated with numerical mathematics is featured throughout the book. An Introduction to Numerical Methods and Analysis is the ideal text for students in advanced undergraduate mathematics and engineering courses who are interested in gaining an understanding of numerical methods and numerical analysis.
Numerical Methods in Scientific Computing
Author: Germund Dahlquist
Publisher: SIAM
Published: 2008-01-01
Total Pages: 742
ISBN-13: 0898717787
DOWNLOAD EBOOKThis new book from the authors of the classic book Numerical methods addresses the increasingly important role of numerical methods in science and engineering. More cohesive and comprehensive than any other modern textbook in the field, it combines traditional and well-developed topics with other material that is rarely found in numerical analysis texts, such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions. Although this volume is self-contained, more comprehensive treatments of matrix computations will be given in a forthcoming volume. A supplementary Website contains three appendices: an introduction to matrix computations; a description of Mulprec, a MATLAB multiple precision package; and a guide to literature, algorithms, and software in numerical analysis. Review questions, problems, and computer exercises are also included. For use in an introductory graduate course in numerical analysis and for researchers who use numerical methods in science and engineering.
