Numerical Analysis for Engineers

Author: Bilal Ayyub
Publisher: CRC Press
ISBN: 1482250365
Format: PDF, Docs
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Numerical Analysis for Engineers: Methods and Applications demonstrates the power of numerical methods in the context of solving complex engineering and scientific problems. The book helps to prepare future engineers and assists practicing engineers in understanding the fundamentals of numerical methods, especially their applications, limitations, and potentials. Each chapter contains many computational examples, as well as a section on applications that contain additional engineering examples. Each chapter also includes a set of exercise problems. The problems are designed to meet the needs of instructors in assigning homework and to help students with practicing the fundamental concepts. Although the book was developed with emphasis on engineering and technological problems, the numerical methods can also be used to solve problems in other fields of science.

Numerical Methods for Scientists and Engineers

Author: Richard Hamming
Publisher: Courier Corporation
ISBN: 0486134822
Format: PDF, Docs
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This inexpensive paperback edition of a groundbreaking text stresses frequency approach in coverage of algorithms, polynomial approximation, Fourier approximation, exponential approximation, and other topics. Revised and enlarged 2nd edition.

A First Course in Numerical Analysis

Author: Anthony Ralston
Publisher: Courier Corporation
ISBN: 9780486414546
Format: PDF
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Outstanding text, oriented toward computer solutions, stresses errors in methods and computational efficiency. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.

Numerical Analysis

Author: Rainer Kress
Publisher: Springer Science & Business Media
ISBN: 1461205999
Format: PDF, ePub, Docs
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An introduction into numerical analysis for students in mathematics, physics, and engineering. Instead of attempting to exhaustively cover everything, the goal is to guide readers towards the basic ideas and general principles by way of the main and important numerical methods. The book includes the necessary basic functional analytic tools for the solid mathematical foundation of numerical analysis -- indispensable for any deeper study and understanding of numerical methods, in particular, for differential equations and integral equations. The text is presented in a concise and easily understandable fashion so as to be successfully mastered in a one-year course.

A First Course in the Numerical Analysis of Differential Equations

Author: A. Iserles
Publisher: Cambridge University Press
ISBN: 0521734908
Format: PDF, ePub, Docs
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lead the reader to a theoretical understanding of the subject without neglecting its practical aspects. The outcome is a textbook that is mathematically honest and rigorous and provides its target audience with a wide range of skills in both ordinary and partial differential equations." --Book Jacket.

Mathematical Analysis in Engineering

Author: Chiang C. Mei
Publisher: Cambridge University Press
ISBN: 9780521587983
Format: PDF, Kindle
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A paperback edition of successful and well reviewed 1995 graduate text on applied mathematics for engineers.

Mathematical Methods for Scientists and Engineers

Author: Donald Allan McQuarrie
Publisher: University Science Books
ISBN: 9781891389245
Format: PDF, ePub, Mobi
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Intended for upper-level undergraduate and graduate courses in chemistry, physics, mathematics and engineering, this text is also suitable as a reference for advanced students in the physical sciences. Detailed problems and worked examples are included.

Partial Differential Equations

Author: Mark S. Gockenbach
Publisher: SIAM
ISBN: 0898719356
Format: PDF
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A fresh, forward-looking undergraduate textbook that treats the finite element method and classical Fourier series method with equal emphasis.

Numerical Analysis for Statisticians

Author: Kenneth Lange
Publisher: Springer Science & Business Media
ISBN: 1441959459
Format: PDF, Kindle
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Numerical analysis is the study of computation and its accuracy, stability and often its implementation on a computer. This book focuses on the principles of numerical analysis and is intended to equip those readers who use statistics to craft their own software and to understand the advantages and disadvantages of different numerical methods.