Optimization Problems

  • Ding-Zhu Du
  • Panos M. Pardalos
  • Weili Wu
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 56)

Abstract

Accurate modeling of scientific problems often leads to the formulation of optimization problems involving continuous and/or discrete variables. In recent years optimization has seen a dramatic increase in activities. This is a natural consequence of new algorithmic developments and the increased power of computers. Many of these problems can be very large, although what is large in optimization reflects not only the size but also the inherent complexity of a problem.

Keywords

Objective Function Nonlinear Optimization Linear Constraint Steiner Tree Boolean Variable 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Ding-Zhu Du
    • 1
  • Panos M. Pardalos
    • 2
  • Weili Wu
    • 1
  1. 1.Department of Computer Science and EngineeringUniversity of MinnesotaMinneapolisUSA
  2. 2.Center for Applied Optimization, ISE DepartmentUniversity of FloridaGainesvilleUSA

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