Large Scale Optimization: State of the Art
Description
This book is a collection of papers presented at the Large Scale Optimization Conference held at the Center for Applied Optimization, University of Florida, Gainesville, in February, 1993.
Accurate modelling of scientific problems often leads to the formulation of large-scale optimization problems involving thousands of continuous and/or discrete variables. As a consequence of new algorithmic developments and of the increased power of computers, large-scale optimization has seen a dramatic increase in activities in the past decade.
Topics include large-scale linear, nonlinear and stochastic programming, network optimization, decomposition methods, methods for optimal control, nonsmooth equations, integer programming, and software development. In addition, applications are included in location theory, structural mechanics, molecular configuration, transportation, multitarget tracking, and database design.
The book is a valuable source of information for faculty students and researchers in mathematical programming and related fields.
Accurate modelling of scientific problems often leads to the formulation of large-scale optimization problems involving thousands of continuous and/or discrete variables. As a consequence of new algorithmic developments and of the increased power of computers, large-scale optimization has seen a dramatic increase in activities in the past decade.
Topics include large-scale linear, nonlinear and stochastic programming, network optimization, decomposition methods, methods for optimal control, nonsmooth equations, integer programming, and software development. In addition, applications are included in location theory, structural mechanics, molecular configuration, transportation, multitarget tracking, and database design.
The book is a valuable source of information for faculty students and researchers in mathematical programming and related fields.
