Automatic Differentiation of Algorithms: From Simulation to Optimization
暫譯: 算法的自動微分:從模擬到優化

  • 出版商: Springer
  • 出版日期: 2014-01-27
  • 售價: $2,380
  • 貴賓價: 9.5$2,261
  • 語言: 英文
  • 頁數: 432
  • 裝訂: Paperback
  • ISBN: 1461265436
  • ISBN-13: 9781461265436
  • 相關分類: Algorithms-data-structures
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

A survey book focusing on the key relationships and synergies between automatic differentiation (AD) tools and other software tools, such as compilers and parallelizers, as well as their applications. The key objective is to survey the field and present the recent developments. In doing so the topics covered shed light on a variety of perspectives. They reflect the mathematical aspects, such as the differentiation of iterative processes, and the analysis of nonsmooth code. They cover the scientific programming aspects, such as the use of adjoints in optimization and the propagation of rounding errors. They also cover "implementation" problems.

商品描述(中文翻譯)

本書是一部調查性質的書籍,專注於自動微分(automatic differentiation, AD)工具與其他軟體工具(如編譯器和並行化工具)之間的關鍵關係和協同作用,以及它們的應用。主要目標是調查該領域並呈現近期的發展。在此過程中,所涵蓋的主題從多個角度提供了見解。這些主題反映了數學方面的內容,例如迭代過程的微分和非光滑程式碼的分析。它們還涵蓋了科學程式設計的方面,例如在優化中使用伴隨(adjoints)和四捨五入誤差的傳播。此外,還探討了「實作」問題。