Convex optimization : introductory course /
This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable objective functions; convex s...
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| Format: | eBook |
| Language: | English |
| Published: |
London : Hoboken :
ISTE, Ltd. ; Wiley,
2020.
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| Series: | Oregon State monographs. Mathematics and statistics series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable objective functions; convex sets and their properties; convex functions and their properties and generalizations; and basic principles of sub-differential calculus and convex programming problems. |
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| Item Description: | 6.6.5. Economic interpretations of the Kuhn-Tucker vector. |
| Physical Description: | 1 online resource (263 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119804093 1119804094 1119804078 9781119804079 9781119804086 1119804086 |