Optimization by Vector Space Methods - David G. Luenberger

Optimization by Vector Space Methods

Buch | Softcover
352 Seiten
1998
Wiley-Interscience (Verlag)
978-0-471-18117-0 (ISBN)
170,08 inkl. MwSt
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.

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.

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.

Erscheint lt. Verlag 16.1.1998
Sprache englisch
Maße 152 x 229 mm
Gewicht 485 g
Themenwelt Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Geometrie / Topologie
Technik Maschinenbau
ISBN-10 0-471-18117-X / 047118117X
ISBN-13 978-0-471-18117-0 / 9780471181170
Zustand Neuware
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