Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinearequations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, softwa...(展开全部)

Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinearequations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, softwa...(展开全部)

This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as c...(展开全部)

A large number of scientists and engineers employ Monte Carlo simulation and related global optimization techniques (such as simulated annealing) as an essential tool in their work. For such scientists, there is a need to keep up to date with several recent advances in Monte Carlo methodologies such as cluster methods, data- augmentation, simulated tempering and other auxiliary...(展开全部)

David Kincaid 得克萨斯大学奥斯汀分校计算机科学系及数学系的高级讲师，他还是得克萨斯计算及应用数学学会数值分析中心的代主任。 Ward Cheney 得克萨斯大学奥斯汀分校数学系教授，他的研究方向主要是逼近论、数值分析和极大化问题。

David Kincaid 得克萨斯大学奥斯汀分校计算机科学系及数学系的高级讲师，他还是得克萨斯计算及应用数学学会数值分析中心的代主任。 Ward Cheney 得克萨斯大学奥斯汀分校数学系教授，他的研究方向主要是逼近论、数值分析和极大化问题。

This highly successful and scholarly book introduces readers with diverse backgrounds to the various types of mathematical analysis that are commonly needed in scientific computing. The subject of numerical analysis is treated from a mathematical point of view, offering a complete analysis of methods for scientific computing with careful proofs and scientific background. An in-...(展开全部)

This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as c...(展开全部)