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You searched IISERK - Title: Interhemispheric water exchange in the Atlantic Ocean [electronic resource] / edited by G.J. Goni and P. Malanotte-Rizzoli.
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Call Number
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519.7/6
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Author
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Nesterov, I͡U. E.
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Title
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Interior-point polynomial algorithms in convex programming [electronic resource] / Yurii Nesterov and Arkadii Nemirovskii.
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Publication
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Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), c1994.
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Material Info.
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1 electronic text (ix, 405 p.) : digital file.
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Series
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SIAM studies in applied mathematics ; vol. 13
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Series
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SIAM studies in applied mathematics ; 13.
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Summary Note
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Specialists working in the areas of optimization, mathematical programming, or control theory will find this book invaluable for studying interior-point methods for linear and quadratic programming, polynomial-time methods for nonlinear convex programming, and efficient computational methods for control problems and variational inequalities. A background in linear algebra and mathematical programming is necessary to understand the book. The detailed proofs and lack of "numerical examples" might suggest that the book is of limited value to the reader interested in the practical aspects of convex optimization, but nothing could be further from the truth. An entire chapter is devoted to potential reduction methods precisely because of their great efficiency in practice.
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Notes
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Includes bibliographical references (p. 387-402) and index.
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Notes
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Chapter 1: Self-concordant functions and Newton method -- Chapter 2: Path-following interior-point methods -- Chapter 3: Potential reduction interior-point methods -- Chapter 4: How to construct self- concordant barriers -- Chapter 5: Applications in convex optimization -- Chapter 6: Variational inequalities with monotone operators -- Chapter 7: Acceleration for linear and linearly constrained quadratic problems -- Bibliography -- Appendix 1 -- Appendix 2.
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ISBN
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9781611970791 (electronic bk.)
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Subject
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Interior-point methods.
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Subject
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Convex programming.
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Subject
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Interior-point methods
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Subject
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Convex programming
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Subject
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Optimization
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Subject
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Quadratic programming
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Subject
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Approximation
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Added Entry
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Nemirovskiĭ, Arkadiĭ Semenovich.
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Date
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Year, Month, Day:01405141
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Link
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SIAM:
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