Applied Optimization

Current Trends and Modern Applications

By: V. Jeyakumar (Editor), Alexander M. Rubinov (Editor)

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Hardcover | 10 August 2005

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472 Pages

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24.77 x 17.15 x 2.54

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Continuous optimization is the study of problems in which we wish to opti mize (either maximize or minimize) a continuous function (usually of several variables) often subject to a collection of restrictions on these variables. It has its foundation in the development of calculus by Newton and Leibniz in the 17*^ century. Nowadys, continuous optimization problems are widespread in the mathematical modelling of real world systems for a very broad range of applications. Solution methods for large multivariable constrained continuous optimiza tion problems using computers began with the work of Dantzig in the late 1940s on the simplex method for linear programming problems. Recent re search in continuous optimization has produced a variety of theoretical devel opments, solution methods and new areas of applications. It is impossible to give a full account of the current trends and modern applications of contin uous optimization. It is our intention to present a number of topics in order to show the spectrum of current research activities and the development of numerical methods and applications.

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You Can Find This Book In

Non-Fiction Mathematics Calculus & Mathematical Analysis Functional Analysis & Transforms Optimisation Linear Programming Applied Mathematics Business & Management Operational Research Management & Management Techniques

Linear semi-infinite optimization : recent advances	p. 3
Some theoretical aspects of Newton's method for constrained best interpolation	p. 23
Optimization methods in direct and inverse scattering	p. 51
On complexity of stochastic programming problems	p. 111
Nonlinear optimization in modeling environments : software implementations for compilers, spreadsheets, modeling languages, and integrated computing systems	p. 147
Supervised data classification via max-min separability	p. 175
A review of applications of the cutting angle methods	p. 209
A numerical method for concave programming problems	p. 251
Convexification and monotone optimization	p. 275
Generalized Lagrange multipliers for nonconvex directionally differentiable programs	p. 293
Slice convergence of sums of convex functions in Banach spaces and saddle point convergence	p. 321
Topical functions and their properties in a class of ordered Banach spaces	p. 343
Dynamical systems described by relational elasticities with applications	p. 365
Impulsive control of a sequence of rumour processes	p. 387
Minimization of the sum of minima of convex functions and its application to clustering	p. 409
Analysis of a practical control policy for water storage in two connected dams	p. 435
Table of Contents provided by Blackwell. All Rights Reserved.

Applied Optimization

Current Trends and Modern Applications

At a Glance

Hardcover

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How to return your order

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You Can Find This Book In

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