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.
關於作者:
DAVID G. LUENBERGER is a professor in the School of
Engineering at Stanford University. He has published four textbooks
and over 70 technical papers. Professor Luenberger is a Fellow of
the Institute of Electrical and Electronics Engineers and recipient
of the 1990 Bode Lecture Award. His current research is mainly in
investment science, economics, and planning.
目錄:
Linear Spaces.
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.