Proceedings of the Princeton Symposium on Mathematical Programming

Informationen zum Autor Harold William Kuhn Klappentext This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty.Originally published in 1971.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905. Zusammenfassung This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer programming, and programming under uncertainty. Originally published in 1971. The Pri

Product details

• Authors: Harold William Kuhn, Harold Kuhn, Harold W. Kuhn
• Publisher: Princeton University Press
• Content: Book
• Product form: Paperback / Softback
• Publication date: 31.03.2015
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages
• EAN: 9780691620732
• ISBN: 978-0-691-62073-2
• Pages: 628
• Series: Princeton Legacy Library > 1547; Princeton Legacy Library
• Subjects: MATHEMATICS / Linear & Nonlinear Programming, Mathematica, Mathematics, Algorithm, Theorem, Iteration, Calculation, probability, equation, Computer programming, Numerical analysis, Probability Theory, Applied mathematics, Mathematical optimization, Mathematical statistics, Approximation theory, Markov Process, Integer, Linear programming, Monte Carlo Method, computation, Riemann zeta function, mathematical programming, probability measure, Random Variable, Loss Function, Quadratic programming, integer programming, mathematical induction, Analysis of Algorithms, Stochastic Programming, Nonlinear programming, Boolean function, Result, special case, semi-infinite programming, Simplex algorithm, Quantity, Optimization problem, Parity (mathematics), Variable (computer science), Boolean algebra (structure), Variable (mathematics), Sign (mathematics), Proportionality (mathematics), Function (mathematics), Diagram (category theory), coefficient, Duality (optimization), Connectivity (graph theory), Mathematical structure, Scientific notation, Characterization (mathematics), Mathematical problem, Identity matrix, Perturbation function, Infimum and supremum, Degeneracy (mathematics), Neighbourhood (mathematics), Decomposition method (constraint satisfaction), Parameter (computer programming), Projection method (fluid dynamics), Lagrange multiplier, Multiplicative number theory, Basic solution (linear programming), Karush–Kuhn–Tucker conditions, Decision rule, Minor (linear algebra), Multiple (mathematics), Parametric programming, Geometric Programming, P-matrix