A concise, rigorous, yet accessible, account of the fundamentals of constrained optimization theory.
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A concise, rigorous, yet accessible, account of the fundamentals of constrained optimization theory. Many problems arising in diverse fields such as machine learning, medicine, chemical engineering, structural design, and scheduling can be reduced to a constrained optimization problem. Provides readers with the fundamentals needed to study and solve such problems.
Preface to the Classic Edition; 1. The Nonlinear Programming Problem, Preliminary Concepts, and Notation; 2. Linear Inequalities and Theorems of the Alternative; 3. Convex Sets in Rn; 4. Convex and Concave Functions; 5. Saddlepoint Optimality Criteria in Nonlinear Programming Without Differentiability; 6. Differentiable Convex and Concave Functions; 7. Optimality Criteria in Nonlinear Programming with Differentiability; 8. Duality in Nonlinear Programming; 9. Generalizations of Convex Functions. Quasiconvex, Strictly Quasiconvex, and Pseudoconvex Functions; 10. Optimality and Duality for Generalized Convex and Concave Functions; 11. Optimality and Duality in the Presence of Nonlinear Equality Constraints; Appendix A. Vectors and Matrices; Appendix B. Resume of Some Topological Properties of Rn; Appendix C. Continuous and Semicontinuous Functions, Minima and Infima; Appendix D. Differentiable Functions, Mean-value and Implicit Function Theorems; Bibliography; Name Index; Subject Index.
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Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail. Codice articolo OTV.0898713412.VG
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Da: Buchkanzlei, Bremen, Germania
Paperback. Condizione: Gut. 236 pp. Cover discolored, name on endpaper, otherwise a well preserved copy 380 Sprache: Englisch Gewicht in Gramm: 337. Codice articolo 39965
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Condizione: New. 1987. paperback. . . . . . Codice articolo V9780898713411
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: New. This reprint of the 1969 book of the same name is a concise, rigorous, yet accessible account of the fundamentals of constrained optimization theory. Many problems arising in diverse fields such as machine learning, medicine, chemical engineering, structural design, and airline scheduling can be reduced to a constrained optimization problem. This book provides readers with the fundamentals needed to study and solve such problems.Beginning with a chapter on linear inequalities and theorems of the alternative, basics of convex sets and separation theorems are then derived based on these theorems. This is followed by a chapter on convex functions that includes theorems of the alternative for such functions. These results are used in obtaining the saddlepoint optimality conditions of nonlinear programming without differentiability assumptions. Properties of differentiable convex functions are derived and then used in two key chapters of the book, one on optimality conditions for differentiable nonlinear programs and one on duality in nonlinear programming. Generalizations of convex functions to pseudoconvex and quasiconvex functions are given and then used to obtain generalized optimality conditions and duality results in the presence of nonlinear equality constraints.The book has four useful self-contained appendices on vectors and matrices, topological properties of n-dimensional real space, continuity and minimization, and differentiable functions. Codice articolo LU-9780898713411
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. illustrated edition. 236 pages. 9.25x6.25x0.50 inches. In Stock. Codice articolo __0898713412
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 1987. paperback. . . . . . Books ship from the US and Ireland. Codice articolo V9780898713411
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 220. Codice articolo 262650148
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