Pyomo ― Optimization Modeling in Python (Springer Optimization and Its Applications)

William E. Hart

  • 出版商: Springer
  • 出版日期: 2018-08-04
  • 定價: $2,450
  • 售價: 6.0$1,470
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Paperback
  • ISBN: 3319864823
  • ISBN-13: 9783319864822
  • 相關分類: Python程式語言
  • 立即出貨(限量) (庫存=1)

商品描述

​This book provides a complete and comprehensive guide to Pyomo (Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, and practitioners. Using many examples to illustrate the different techniques useful for formulating models, this text beautifully elucidates the breadth of modeling capabilities that are supported by Pyomo and its handling of complex real-world applications. This second edition provides an expanded presentation of Pyomo’s modeling capabilities, providing a broader description of the software that will enable the user to develop and optimize models. Introductory chapters have been revised to extend tutorials; chapters that discuss advanced features now include the new functionalities added to Pyomo since the first edition including generalized disjunctive programming, mathematical programming with equilibrium constraints, and bilevel programming.

Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (Algebraic Modeling Language) tools. Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language. Python is a powerful and dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions.

商品描述(中文翻譯)

本書提供了一個完整且全面的指南,介紹了Pyomo(Python Optimization Modeling Objects)的使用方法,適用於初學者和高級建模者,包括本科和研究生學生、學術研究人員和實踐者。通過許多示例來說明用於制定模型的不同技術,本書詳細說明了Pyomo支持的建模能力的廣度,以及其處理複雜現實應用的能力。本書第二版擴展了對Pyomo建模能力的介紹,提供了對軟件的更廣泛描述,使用者能夠開發和優化模型。入門章節已經修訂,擴展了教程;討論高級功能的章節現在包括自第一版以來添加到Pyomo的新功能,包括廣義不相容規劃、帶均衡約束的數學規劃和雙層規劃。

Pyomo是一個用於制定和解決大規模優化問題的開源軟件包。該軟件擴展了現代代數建模語言(AML)工具所支持的建模方法。Pyomo是一個靈活、可擴展和可移植的AML,嵌入在Python中,這是一種功能豐富的腳本語言。Python是一種強大且動態的編程語言,具有非常清晰、易讀的語法和直觀的面向對象特性。Pyomo包括用於定義稀疏集合、參數和變量的Python類,可以用於制定定義目標和約束的代數表達式。此外,Pyomo可以從命令行界面和Python的交互式命令環境中使用,這使得創建Pyomo模型、應用各種優化器和檢查解決方案變得容易。