Evaluating Derivatives Principles and Techniques of AD-2
Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation 自动微分算法的经典著作。作者是著名的AD软件包ADOL-C的创始人。这是第二部分。
Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation 自动微分算法的经典著作。作者是著名的AD软件包ADOL-C的创始人。这是第二部分。
Evaluating Derivatives Principles and Techniques of Algorithmic Differentiation 自动微分算法的经典著作。作者是著名的AD软件包ADOL-C的创始人。这是第一部分。
This brief book on Newton’s method is a user-oriented guide to algorithms and implementation. In just over 100 pages, it shows, via algorithms in pseudocode, in MATLAB, and with several examples, how one can choose an appropriate Newton-type method for a given problem, diagnose problems, and write an efficient solver or apply one written by others. Solving Nonlinear Equations with Newton’s Method contains trouble-shooting guides to the major algorithms, their most common failure modes, and the likely causes of failure. It also includes many worked-out examples (available on the SIAM website) in pseudocode and a collection of MATLAB codes, allowing readers to experiment with the algorithms easily and implement them in other languages.
网友郭祥昊自己编写的winCVS使用教程,很详细。cvs是open source 的文件版本管理工具,winCVS是基于windows的CVS客户端。