Optimization by Vector Space Methods
1. Edition January 1998
XVIII, 326 Pages, Softcover
Wiley & Sons Ltd
Short Description
Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. Using optimization theory, which is derived from a few simple geometric relations, an engineer can apply three-dimensional models to extremely complex, infinite-dimensional problems. This book shows engineers how to use optimization theory to solve complex problems.
Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.
Hilbert Space.
Least-Squares Estimation.
Dual Spaces.
Linear Operators and Adjoints.
Optimization of Functionals.
Global Theory of Constrained Optimization.
Local Theory of Constrained Optimization.
Iterative Methods of Optimization.
Indexes.
