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Optimization by Vector Space Methods

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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Optimization by Vector Space Methods by David G. Luenberger equips engineers with the tools to tackle resource distribution problems through optimisation theory. The book unifies a broad range of optimisation concepts using key geometric principles, providing a clear framework with minimal reliance on complex mathematics. It integrates functional analysis suited for practical engineering contexts and includes problems directly related to its applications.
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Format: Paperback / softback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for engineering professionals and students seeking a rigorous yet accessible approach to optimisation theory grounded in vector space methods. Suitable for those interested in applying mathematical optimisation to real-world problems.

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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.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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 analysed with optimisation theory. This book shows engineers how to use optimisation theory to solve complex problems.

Optimization by Vector Space Methods unifies the large field of optimisation with a few geometric principles. It covers functional analysis with a minimum of mathematics and contains problems that relate to the applications discussed in the book.

Book Details

INFORMATION

ISBN: 9780471181170

Publisher: John Wiley & Sons Inc

Format: Paperback / softback

Date Published: 16 January 1998

Country: United States

Imprint: Wiley-Interscience

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Spine width: 19.0mm

Width: 152.0mm

Height: 229.0mm

Weight: 485g

Pages: 352

About the Author

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.

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