Lagrange-type Functions in Constrained Non-Convex Optimization (Applied Optimization)
Edition: 1 edition
Publisher: Springer
Published: November 30, 2003
Language: eng
Format: Hardcover
Number of pages: 300
ISBN-13: 9781402076275
Subjects: Optimization; Nonconvex programming; Linear Programming; Mathematics; Science/Mathematics; Probability & Statistics - General; Mechanics - Dynamics - General; Mathematics / Linear Programming; Lagrangian functions; Applied
First sentence: Consider the following mathematical programming problem with inequality constraints: min f(x) subject to x X, gi(x) 0 i = 1, . . . , m, (1.1.1) where f and gi, i =1, . . . , m are real-valued functions defined on a metric space X.