Algorithms for Optimization, Second Edition
暫譯: 最佳化演算法（第二版）

Kochenderfer, Mykel J., Wheeler, Tim A.

Algorithms for Optimization, Second Edition
  • 出版商: Summit Valley Press
  • 出版日期: 2027-01-05
  • 售價: $4,110
  • 貴賓價: 9.5 折 $3,904
  • 語言: 英文
  • 頁數: 634
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0262058162
  • ISBN-13: 9780262058162
  • 相關分類: Algorithms-data-structures

    • 尚未上市，無法訂購

相關主題

商品描述

A comprehensive, practical introduction to optimization updated with new chapters on duality, quadratic programming, and disciplined convex programming.

The extensively updated second edition of this popular textbook provides a comprehensive introduction to optimization with a focus on practical algorithms. Mykel Kochenderfer and Tim Wheeler approach optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. Suitable for advanced undergraduates and graduate students in mathematics, statistics, computer science, engineering, and operations research, and as a reference for professionals, the text provides concrete implementations in the Julia programming language.

Second edition highlights:

  • New chapters on duality, quadratic programming, and disciplined convex programming
  • Additional methods covered, from new ways to estimate gradients to multi-fidelity techniques
  • Improved accessibility, expanded explanations, updated references, and streamlined algorithms
  • More exercises, example applications, and figures

商品描述(中文翻譯)

全面且實用的最佳化導論，新增對偶性、二次規劃與規範化凸規劃等章節。

本暢銷教科書的第二版經過大幅更新，全面介紹最佳化，並著重於實用演算法。Mykel Kochenderfer 和 Tim Wheeler 從工程觀點探討最佳化：設計一個系統，在滿足各項限制條件的前提下，將一組衡量指標最佳化。讀者將學習如何以計算方法處理各種挑戰，包括搜尋高維度空間、處理多個相互競爭的目標，以及因應衡量指標中的不確定性。書中的圖表、範例與習題，將協助讀者理解數學方法背後的直觀概念。本書適合數學、統計學、 computer science、工程學與作業研究領域的高年級大學生及研究生，也可作為專業人士的參考書；內容並提供以 Julia 程式語言撰寫的具體實作。

第二版重點：

• 新增對偶性、二次規劃與規範化凸規劃等章節
• 涵蓋更多方法，包括估計梯度的新方法與多保真度技術
• 提升易讀性、擴充解說、更新參考資料，並精簡演算法
• 增加更多習題、應用範例與圖表

作者簡介

Mykel J. Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University, where he is the director of the Stanford Intelligent Systems Laboratory (SISL), author of Decision Making Under Uncertainty, and coauthor of Algorithms for Validation and Algorithms for Decision Making, all published by the MIT Press.

Tim A. Wheeler is a software engineer in the Bay Area, working on autonomy, controls, and decision-making systems. He is coauthor of Algorithms for Decision Making (MIT Press).

作者簡介(中文翻譯)

Mykel J. Kochenderfer 是 Stanford University 航空與太空工程系的副教授，並擔任 Stanford Intelligent Systems Laboratory（SISL）主任。他是《Decision Making Under Uncertainty》的作者，以及《Algorithms for Validation》和《Algorithms for Decision Making》的共同作者，這些書籍皆由 MIT Press 出版。

Tim A. Wheeler 是一名任職於灣區的軟體工程師，專注於自主系統、控制與決策系統。他是《Algorithms for Decision Making》（MIT Press）的共同作者。

類似商品