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Springer Scientific Computing Vol. I - Linear & Nonlinear Equations

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Description

Scientific Computing: Vol. I provides a comprehensive foundation in computational fundamentals and essential numerical algorithms for solving linear and nonlinear equations. This first volume in a three-part series establishes core principles of computation whilst equipping readers with practical tools for advanced problem-solving. The book guides you through evaluating computational result quality, comparing method efficiency, and determining maximum algorithm accuracy. Learn how to select optimal solutions for diverse computing problems, from theoretical foundations to real-world applications. Authored by leading experts and published by Springer as part of the Texts in Computational Science and Engineering series, this textbook bridges classical mathematics and modern computational practice, making it indispensable for students, researchers, and practitioners in applied mathematics and scientific computing.

Key Features

Covers fundamental numerical algorithms and computation principles essential for linear and nonlinear equation solving.

Teaches methods to evaluate computational result quality and measure the relative efficiency of competing algorithms.

Guides readers in determining maximum attainable accuracy and selecting the best computational approach for specific problems.

First volume in a three-volume series providing systematic progression through scientific computing foundations.

Published by Springer in the established Texts in Computational Science and Engineering series for academic credibility.

Combines theoretical principles with practical programming guidance for applied mathematics applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
09 December 2018
Listed Since
26 June 2019

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