دانلود کتاب مقدمه ای بر ابزارهای محاسبات علمی

The core material is essentially the same as in the first edition, but thoroughly revised and updated to the current versions of the programming environments. Based on reader comments and suggestions, several cross-references have been included to facilitate comparison between different programming approaches. In the area of computer algebra systems, we have added a chapter on Mathematica. Here, the presentation is essentially based on that of the Maple chapter and can thus help the reader decide which system to use. Completely new is the chapter on scientific machine learning, a discipline that is currently in a rather experimental stage, but shows emerging potential. In any case, the discussion can help to take a fresh look at the concept of algorithms in general.