Applied Numerical Analysis with Mathematica
Author :
Publisher : Editora E-papers
Page : 177 pages
File Size : 27,98 MB
Release :
Category :
ISBN : 858792222X
Author :
Publisher : Editora E-papers
Page : 177 pages
File Size : 27,98 MB
Release :
Category :
ISBN : 858792222X
Author : Curtis F. Gerald
Publisher : Addison Wesley Publishing Company
Page : 826 pages
File Size : 21,27 MB
Release : 1994
Category : Mathematics
ISBN :
The fifth edition of this classic book continues its excellence in teaching numerical analysis and techniques. Interesting and timely applications motivate an understanding of methods and analysis of results. Suitable for students with mathematics and engineering backgrounds, the breadth of topics (partial differential equations, systems of nonlinear equations, and matrix algebra), provide comprehensive and flexible coverage of all aspects of all numerical analysis. New sections discuss the use of computer algebra systems such as Mathematica, Maple and DERIVE facilitate the integration of technology in the course.
Author : John Loustau
Publisher : World Scientific Publishing Company
Page : 164 pages
File Size : 34,5 MB
Release : 2017-08-23
Category : Mathematics
ISBN : 9813222735
Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing areas of applied mathematics, mathematical finance and mathematical biology.
Author : John Loustau
Publisher : World Scientific Publishing Company
Page : 151 pages
File Size : 40,79 MB
Release : 2017-08-24
Category : Mathematics
ISBN : 9789813222717
Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing areas of applied mathematics, mathematical finance and mathematical biology.
Author : Richard W. Hamming
Publisher : Courier Corporation
Page : 354 pages
File Size : 30,38 MB
Release : 2012-01-01
Category : Mathematics
ISBN : 0486485900
"This book is appropriate for an applied numerical analysis course for upper-level undergraduate and graduate students as well as computer science students. Actual programming is not covered, but an extensive range of topics includes round-off and function evaluation, real zeros of a function, integration, ordinary differential equations, optimization, orthogonal functions, Fourier series, and much more. 1989 edition"--Provided by publisher.
Author : John Loustau
Publisher : World Scientific Publishing Company
Page : 151 pages
File Size : 16,72 MB
Release : 2017-08-24
Category : Mathematics
ISBN : 9789813224155
Here we present numerical analysis to advanced undergraduate and master degree level grad students. This is to be done in one semester. The programming language is Mathematica. The mathematical foundation and technique is included. The emphasis is geared toward the two major developing areas of applied mathematics, mathematical finance and mathematical biology.
Author : Won Y. Yang
Publisher : John Wiley & Sons
Page : 526 pages
File Size : 27,67 MB
Release : 2005-05-20
Category : Mathematics
ISBN : 0471705187
In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB for implementing numerical methods. This book makes use of the powerful MATLAB software to avoid complex derivations, and to teach the fundamental concepts using the software to solve practical problems. Over the years, many textbooks have been written on the subject of numerical methods. Based on their course experience, the authors use a more practical approach and link every method to real engineering and/or science problems. The main benefit is that engineers don't have to know the mathematical theory in order to apply the numerical methods for solving their real-life problems. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online.
Author : Benjamin F. Plybon
Publisher : Brooks/Cole
Page : 662 pages
File Size : 16,48 MB
Release : 1992
Category : Mathematics
ISBN :
Author : Uri M. Ascher
Publisher : SIAM
Page : 574 pages
File Size : 32,93 MB
Release : 2011-07-14
Category : Mathematics
ISBN : 0898719976
Offers students a practical knowledge of modern techniques in scientific computing.
Author : Myron B. Allen, III
Publisher : John Wiley & Sons
Page : 592 pages
File Size : 46,50 MB
Release : 2019-04-05
Category : Mathematics
ISBN : 1119245664
Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse Fields Numerical analysis is a core subject in data science and an essential tool for applied mathematicians, engineers, and physical and biological scientists. This updated and expanded edition of Numerical Analysis for Applied Science follows the tradition of its precursor by providing a modern, flexible approach to the theory and practical applications of the field. As before, the authors emphasize the motivation, construction, and practical considerations before presenting rigorous theoretical analysis. This approach allows instructors to adapt the textbook to a spectrum of uses, ranging from one-semester, methods-oriented courses to multi-semester theoretical courses. The book includes an expanded first chapter reviewing useful tools from analysis and linear algebra. Subsequent chapters include clearly structured expositions covering the motivation, practical considerations, and theory for each class of methods. The book includes over 250 problems exploring practical and theoretical questions and 32 pseudocodes to help students implement the methods. Other notable features include: A preface providing advice for instructors on using the text for a single semester course or multiple-semester sequence of courses Discussion of topics covered infrequently by other texts at this level, such as multidimensional interpolation, quasi-Newton methods in several variables, multigrid methods, preconditioned conjugate-gradient methods, finite-difference methods for partial differential equations, and an introduction to finite-element theory New topics and expanded treatment of existing topics to address developments in the field since publication of the first edition More than twice as many computational and theoretical exercises as the first edition. Numerical Analysis for Applied Science, Second Edition provides an excellent foundation for graduate and advanced undergraduate courses in numerical methods and numerical analysis. It is also an accessible introduction to the subject for students pursuing independent study in applied mathematics, engineering, and the physical and life sciences and a valuable reference for professionals in these areas.