'Mixed integer programming' diaporamas de présentation

Chapter 11 Integer Programming, Goal Programming, and Nonlinear Programming

Chapter 11 Integer Programming, Goal Programming, and Nonlinear Programming. Prepared by Lee Revere and John Large. Mathematical Programming. Linear programming Integer linear programming some or all of the variables are integers Network programming (produce all integer solutions)

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Chapter 11 Integer Programming, Goal Programming, and Nonlinear Programming

Chapter 11 Integer Programming, Goal Programming, and Nonlinear Programming. Prepared by Lee Revere and John Large. Learning Objectives. Students will be able to: Understand the difference between LP and integer programming.

890 views • 54 slides

LPs and MIPs background and solution approaches

LPs and MIPs background and solution approaches. Dr. Greg Bernstein Grotto Networking. www.grotto-networking.com. Outline. LP problem formulations A variety of different forms Convex Sets and Functions LP problems have both Linear Programming Polytopes and the Simplex Method

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OPTIMIZING HELICOPTER TRANSPORT OF OIL RIG CREWS AT PETROBRAS

1.16k views • 27 slides

Jeremy F. Shapiro

Jeremy F. Shapiro. ???? ????. ????. name: Shapiro, Jeremy F email: jshapiro@mit.edu title: MIT Affiliate. ????. ????. undergraduate at Cornell studied for one year at the University of Paris B.M.E. and M.I.E. degrees from Cornell

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Qubit Placement to Minimize Communication Overhead in 2D Quantum Architectures

Qubit Placement to Minimize Communication Overhead in 2D Quantum Architectures. Alireza Shafaei , Mehdi Saeedi , Massoud Pedram Department of Electrical Engineering University of Southern California. http://atrak.usc.edu/.

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Y. Pochet, Lhoist Group IP at CORE May 27-29, 2009

Y. Pochet, Lhoist Group IP at CORE May 27-29, 2009. From PW and MIP to PP by MIP From Production Waste and Milling Intermediate Products To Production Performance by Milling Inequality Polyhedron. Outline. Supply Chain Network at Lhoist Lime Basics

305 views • 18 slides

Y. Pochet, Lhoist Group IP at CORE May 27-29, 2009

Y. Pochet, Lhoist Group IP at CORE May 27-29, 2009. From PW and MIP to PP by MIP From Production Waste and Milling Intermediate Products To Production Performance by Milling Inequality Polyhedron. Outline. Supply Chain Network at Lhoist Lime Basics

184 views • 18 slides

CHAPTER 11

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Equipment Scheduling and Optimization Project # OSU 05-HLBT

Equipment Scheduling and Optimization Project # OSU 05-HLBT. Project Team Principal Investigator Ricki G. Ingalls, Ph.D. Co-Principal Investigator Carlos Oliveira, Ph.D. Graduate Assistant Ananth Krishnamoorthy Graduate Assistant Rajesh Velliyanallore. Project Motivation

168 views • 1 slides