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An introduction to a range of Operations Research techniques, covering: foundations of linear programming, including the simplex method and duality; integer programming; markov chains; queueing theory ...
An introduction to a range of Operations Research techniques, covering: foundations of linear programming, including the simplex method and duality; integer programming; markov chains; queueing theory ...
Addressing the importance of the algorithm design process, Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems.
This paper is an invited contribution to the 50th anniversary issue of the journal Operations Research, published by the Institute of Operations Research and Management Science (INFORMS). It describes ...
Frederic H. Murphy, Venkat Panchanadam, Understanding Linear Programming Modeling through an Examination of the Early Papers on Model Formulation, Operations Research, Vol. 45, No. 3 (May - Jun., 1997 ...
Topics include computational linear algebra, first and second order descent methods, convex sets and functions, basics of linear and semidefinite programming, optimization for statistical regression ...
Roth, A. E., U. G. Rothblum, and J. H. Vande Vate. "Stable Matchings, Optimal Assignments, and Linear Programming." Mathematics of Operations Research 18, no. 4 ...
[1] Recent contributions to linear semi-infinite optimization: an update. Annals of Operations Research (2018). [2] Recent advances in nonconvex semi-infinite programming: Applications and algorithms.
Marshall, Paul W. "Linear Programming: A Technique for Analyzing Resource Allocation Problems." Harvard Business School Background Note 171-322, January 1971. (Revised November 1975 ...
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