'Mixed integer linear program' presentation slideshows

Planning and Operating United Airlines: Business Model and Optimization Enablers

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Vincent Conitzer Duke University

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Instructor: Vincent Conitzer

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Logic Synthesis

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Tactical Planning in Healthcare with Approximate Dynamic Programming

Tactical Planning in Healthcare with Approximate Dynamic Programming. Martijn Mes & Peter Hulshof Department of Industrial Engineering and Business Information Systems University of Twente The Netherlands. Sunday, October 6, 2013 INFORMS Annual Meeting 2013, Minneapolis, MN. OUTLINE.

436 views • 30 slides

Problems in Combinatorial Optimization

Problems in Combinatorial Optimization. Linear Programming. Optimal Solution of LP. A linear program that has a feasible solution is called feasible . A linear program is unbounded if for each real number K there exists a feasible solution x with z ( x ) < K .

296 views • 28 slides

Peter J.H. Hulshof, Martijn R.K. Mes , Richard J. Boucherie , Erwin W. Hans

Tactical Planning in Healthcare using Approximate Dynamic Programming (t actisch plannen van toegangstijden in de zorg). Peter J.H. Hulshof, Martijn R.K. Mes , Richard J. Boucherie , Erwin W. Hans Center for Health care Operations Improvement and Research (CHOIR) University of Twente.

415 views • 26 slides

Integer Programming

Integer Programming. Key characteristic of an Integer Program (IP) or Mixed Integer Linear Program (MILP): One or more of the decision variable must be integer . In some cases a problem that requires an Integer solution can be solved as a Linear program. When?

567 views • 15 slides

CPS 296.1 Brief introduction to linear and mixed integer programming

CPS 296.1 Brief introduction to linear and mixed integer programming. Vincent Conitzer conitzer@cs.duke.edu. Linear programs: example. We make reproductions of two paintings. maximize 3x + 2y subject to 4x + 2y ? 16 x + 2y ? 8 x + y ? 5 x ? 0 y ? 0.

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CPS 590.4 Brief introduction to linear and mixed integer programming

CPS 590.4 Brief introduction to linear and mixed integer programming. Vincent Conitzer conitzer@cs.duke.edu. Linear programs: example. We make reproductions of two paintings. maximize 3x + 2y subject to 4x + 2y ? 16 x + 2y ? 8 x + y ? 5 x ? 0 y ? 0.

291 views • 10 slides

CPS 296.1 Brief introduction to linear and mixed integer programming

CPS 296.1 Brief introduction to linear and mixed integer programming. Vincent Conitzer conitzer@cs.duke.edu. Linear programs: example. We make reproductions of two paintings. maximize 3x + 2y subject to 4x + 2y ? 16 x + 2y ? 8 x + y ? 5 x ? 0 y ? 0.

214 views • 10 slides

CPS 296.1 Brief introduction to linear and mixed integer programming

CPS 296.1 Brief introduction to linear and mixed integer programming. Vincent Conitzer conitzer@cs.duke.edu. Linear programs: example. We make reproductions of two paintings. maximize 3x + 2y subject to 4x + 2y ? 16 x + 2y ? 8 x + y ? 5 x ? 0 y ? 0.

117 views • 10 slides

Brief introduction to linear and mixed integer programming

Brief introduction to linear and mixed integer programming. Vincent Conitzer conitzer@cs.duke.edu. Linear programs: example. We make reproductions of two paintings. maximize 3x + 2y subject to 4x + 2y ? 16 x + 2y ? 8 x + y ? 5 x ? 0 y ? 0.

120 views • 10 slides