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Subjects / keywords: KUHN, HAROLD W; PRINCETON UNIVERSITY PRESS; 519.76 P963p

In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serv...

1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

When IBM's John Backus first developed the Fortran programming language, back in 1957, he certainly never dreamt that it would become a world-wide success and still be going strong many years later. Given the oft-repeate...

This clearly written , mathematically rigorous text includes a novel algorithmic exposition of the simplex method and also discusses the Soviet ellipsoid algorithm for linear programming; efficient algorithms for network...

Abstract The concept of an agent has become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theore...

1957 marked the beginning of modern education in computing in Argentina. I was lucky enough to live this part of the history. After issuing an international bid that year, all members of a special commission from the Uni...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic al...

From the Publisher: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition,this text ...

Subjects / keywords: Mathematical optimization; Numerical analysis; Linear programming

Subjects / keywords: Linear programming; Network analysis (Planning); Mathematical optimization; Dynamic programming; Electronic books

Subjects / keywords: Heuristic programming; Mathematical optimization; Electronic books

Subjects / keywords: Linear programming; Mathematical models; Critical path analysis; PERT (Network analysis); Electronic books

Subjects / keywords: Linear programming; Mathematical models; PERT (Network analysis); Critical path analysis

Subjects / keywords: Numerical analysis; Linear programming; Equations; Numerical solutions; Electric power systems; Mathematical models; Engineering mathematics

Subjects / keywords: Interior point method; Algorithm; Line search; Karush–Kuhn–Tucker conditions; Nonlinear programming; Heuristics; Filter (signal processing); Mathematical optimization; Mathematics; Nonlinear system; Convergence (econ...

A basic text in linear programming, the solution of systems of linear equalities. The subjects covered include the concepts, origins and formulations of linear programs, and the simplex method of solution as applied to t...

Introduction and Preliminaries. Problems, Algorithms, and Complexity. LINEAR ALGEBRA. Linear Algebra and Complexity. LATTICES AND LINEAR DIOPHANTINE EQUATIONS. Theory of Lattices and Linear Diophantine Equations. Algorit...

Little has been done in the study of these intriguing questions, and I do not wish to give the impression that any extensive set of ideas exists that could be called a "theory." What is quite surprising, as far as the hi...

From the Publisher: The past decade has seen considerable theoretical and applied research on Markov decision processes, as well as the growing use of these models in ecology, economics, communications engineering, and o...

Subjects / keywords: Karush–Kuhn–Tucker conditions; Nonlinear programming; Nonlinear system; Saddle point; Mathematical optimization; Duality (order theory); Mathematics; Linear programming; Function (biology); Convex optimization; Conve...

FOUNDATIONS. The Scope of Integer and Combinatorial Optimization. Linear Programming. Graphs and Networks. Polyhedral Theory. Computational Complexity. Polynomial-Time Algorithms for Linear Programming. Integer Lattices....

A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs. A scalar measure of the efficiency of each p...