Emphasizing applications rather than a mathematical emphasis this book provides an introduction to the approximation techniques used to solve problems that arise in science and engineering. Techniques are described from an implementation standpoint to convince students that methods are reasonable both mathematically and computationally. Software written in both FORTRAN and Pascal is bound into the text and information on the general purpose software packages distributed by the International Mathematical and Statistical Library (IMSL) is included.
This excellent text for advanced undergraduate and graduate students covers norms, numerical solutions of linear systems and matrix factoring, eigenvalues and eigenvectors, polynomial approximation, and more.
Numerical Methods for Scientists and Engineers
[63] Langville, A. and C. Meyer (2004). Deeper inside PageRank. Internet Mathematics 1(3), 335–380. [64] Langville, A. and C. Meyer (2006). Google's PageRank and Beyond: The Science of Search Engine Rankings. Princeton University Press.
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 ...
The book is written with clarity and precision, intended for practical rather than theoretical use. This book will interest mathematicians, both pure and applied, as well as any scientist or engineer working with numerical problems.
This thorough, modern exposition of classic numerical methods using MATLAB briefly develops the fundamental theory of each method. Rather than providing a detailed numerical analysis, the behavior...
The concise approach with strong, up-to-date MATLAB integration provided by this book affords readers a thorough knowledge of the fundamentals of numerical methods utilized in various disciplines.
Numerical Methods for Linear Control Systems Design and Analysis is an interdisciplinary textbook aimed at systematic descriptions and implementations of numerically-viable algorithms based on well-established, efficient and stable modern ...
Elementary yet rigorous, this concise treatment is directed toward students with a knowledge of advanced calculus, basic numerical analysis, and some background in ordinary differential equations and linear algebra. 1968 edition.
This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis.