'Integer programming' presentation slideshows

Integer Programming, Goal Programming, and Nonlinear Programming

3.49k views • 106 slides

Integer Programming, Goal Programming, and Nonlinear Programming

1.46k views • 106 slides

Modelli e Metodi di Ottimizzazione per la Biologia Computazionale e la Medicina

1.08k views • 82 slides

Computational challenges in RTP treatment planning: setting the stage

Computational challenges in RTP treatment planning: setting the stage. Joe Deasy, PhD deasyj@mskcc.org. Overview. Treatment planning: underpinnings Outcomes and models Treatment planning technology The desirables: what we need How can we get there?.

952 views • 79 slides

A Parallel Integer Programming Approach to Global Routing

A Parallel Integer Programming Approach to Global Routing. Tai-Hsuan Wu Advisor: Prof. Azadeh Davoodi Collaboration with Prof. Jeffrey Linderoth Department of Electrical and Computer Engineering University of Wisconsin-Madison.

937 views • 68 slides

Linear Programming: Formulation and Applications

Linear Programming: Formulation and Applications. Chapter 3: Hillier and Hillier. Agenda. Discuss Resource Allocation Problems Super Grain Corp. Case Study Integer Programming Problems TBA Airlines Case Study Discuss Cost-Benefit-Tradeoff-Problems

1.14k views • 63 slides

Partial Satisfaction Planning: Representations and Solving Methods

Partial Satisfaction Planning: Representations and Solving Methods. Dissertation Defense. J. Benton j.benton@asu.edu. Committee: Subbarao Kambhampati Chitta Baral Minh B. Do David E. Smith Pat Langley. Classical vs. Partial Satisfaction Planning (PSP). Classical Planning Initial state

681 views • 58 slides

Progress in Linear Programming Based Branch-and-Bound Algorithms

Progress in Linear Programming Based Branch-and-Bound Algorithms. Andrew Miller University of Wisconsin. Objectives. To discuss what techniques are being used to solve mixed integer programs in practice

788 views • 56 slides

AEM412 Computational Methods for Management and Economics Carla P. Gomes

AEM412 Computational Methods for Management and Economics Carla P. Gomes. Module 1 Introduction. Overview of this Lecture. Course Administration Course Themes, Goals, and Syllabus Background on Mathematical Programming The Impact of Information Technology on Business Practice.

704 views • 45 slides

Modularity Clustering

471 views • 39 slides

Applied Integer Programming

Applied Integer Programming. McCarl and Spreen Chapter 15. Why Integer Programming?. In standard LP, variables are continuous. Fractional solutions are not always acceptable (e.g. machine purchases). Integer programming can also be used to model discrete choices (either/or situations).

632 views • 34 slides

746 views • 28 slides

OPERATION RESEARCH

OPERATION RESEARCH. DR.BAMBANG SUDARYANA MSI DEA. POKOK BAHASAN.

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Lecture 18: Topics Integer Program/Goal Program

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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

SEARCHING FOR THE DUAL OF AN INTEGER PROGRAMME

275 views • 14 slides

IS3320 Advanced Quantitative Analysis

IS3320 Advanced Quantitative Analysis. Course Objectives. This course aims to: Describe the quantitative analysis approach and it is applications in a real situation. illustrate the use of modeling in quantitative analysis. Use the simplex method to solv e linear programming problems.

2.95k views • 13 slides

Location Of Points

HW06 Solve The Traveling Salesman Problem Using Three Algorithms. 1. Nearest Unvisited Neighbor 2. Sweep Algorithm 3. Integer Programming. Location Of Points. Drawing. C. B. 5 4 3 2 1 0. Z. D. E. A. 0 1 2 3 4 5. Distances. Nearest Neighbor.

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INTRODUCTION TO OR AND FORMULATION OF LPP AND GRAPHICAL SOLUTION

INTRODUCTION TO OR AND FORMULATION OF LPP AND GRAPHICAL SOLUTION. TOPIC NO-1. DEFINITION, MEANING AND ORIGIN OF OR. WHAT IS OR ?. . OR STANDS FOR OPERATION RESEARCH. .IT WAS COINED BY Mc CLOSKY AND TREFTHEN IN 1940. .ORIGINATED DURING WW2 .

299 views • 11 slides

Scalable Algorithms for Next-Generation Sequencing Data Analysis

Scalable Algorithms for Next-Generation Sequencing Data Analysis. Ion Mandoiu UTC Associate Professor in Engineering Innovation Department of Computer Science & Engineering. Next Generation Sequencing. Illumina HiSeq. Roche/454. SOLiD 5500. Ion Proton. PacBio RS. Oxford Nanopore.

524 views • 11 slides