EconPapers    
Economics at your fingertips  
 

Introduction

William E. Hart (), Carl Laird (), Jean-Paul Watson () and David L. Woodruff ()
Additional contact information
William E. Hart: Sandia National Laboratories
Carl Laird: Texas A&M
Jean-Paul Watson: Sandia National Laboratories
David L. Woodruff: University of California, Davis

Chapter Chapter 1 in Pyomo – Optimization Modeling in Python, 2012, pp 1-11 from Springer

Abstract: Abstract This chapter introduces and motivates Pyomo, a Python-based modeling tool for optimization models. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. Algebraic modeling languages like Pyomo are high-level programming languages for simplifying the specification and solution of mathematical problems. Pyomo provides a flexible, extensible modeling framework that supports the central ideas of modern algebraic modeling languages within a widely used programming language.

Keywords: Open Source Project; Open Source License; Solver Interface; Progressive Hedge; Modern Programming Language (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-1-4614-3226-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9781461432265

DOI: 10.1007/978-1-4614-3226-5_1

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-1-4614-3226-5_1