Numerical Analysis pdf epub mobi txt 电子书 下载 2024


Numerical Analysis

简体网页||繁体网页
L. Ridgway Scott
Princeton University Press
2011-5-8
342
USD 65.00
Hardcover
9780691146867

图书标签: 数学  金融数学  工具教程  Finance   


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发表于2024-11-10

Numerical Analysis epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Numerical Analysis epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Numerical Analysis pdf epub mobi txt 电子书 下载 2024



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Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this book provides a rigorous and self-contained introduction to numerical analysis and presents the advanced mathematics that underpin industrial software, including complete details that are missing from most textbooks. Using an inquiry-based learning approach, "Numerical Analysis" is written in a narrative style, provides historical background, and includes many of the proofs and technical details in exercises. Students will be able to go beyond an elementary understanding of numerical simulation and develop deep insights into the foundations of the subject. They will no longer have to accept the mathematical gaps that exist in current textbooks. For example, both necessary and sufficient conditions for convergence of basic iterative methods are covered, and proofs are given in full generality, not just based on special cases. The book is accessible to undergraduate mathematics majors as well as computational scientists wanting to learn the foundations of the subject. It presents the mathematical foundations of numerical analysis. It explains the mathematical details behind simulation software. It introduces many advanced concepts in modern analysis. It is self-contained and mathematically rigorous. It contains problems and solutions in each chapter. This is an excellent follow-up course to "Principles of Mathematical Analysis" by Rudin.

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