'Integer linear programming' presentation slideshows

Linear Programming, (Mixed) Integer Linear Programming, and Branch & Bound

Linear Programming, (Mixed) Integer Linear Programming, and Branch & Bound. COMP8620 Lecture 3-4 Thanks to Steven Waslander (Stanford) H. Sarper (Thomson Learning) who supplied presentation material. What Is a Linear Programming Problem?. Exam p le.

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

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The Tree-Width of Decidable Problems

The Tree-Width of Decidable Problems. Gennaro Parlato (U. Southampton, UK) joint work with: P. Madhusudan (UIUC, USA) Salvatore La Torre (U. Salerno, Italy) Constantin Enea, Peter Habermehl (LIAFA, CNRS, U. Paris 7, France)

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Integer Linear Programming

Integer Linear Programming. When you need discrete solutions. Discrete Variables. Linear programming allows us to solve large scale network problems. It gives answers in terms of continuous variables

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CSE475 Satellite and Space Networks

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Vishwani D. Agrawal James J. Danaher Professor ECE Department, Auburn University, Auburn, AL 36849

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Readings

Readings. Readings. Chapter 7 Integer Linear Programming. Overview. Overview. Overview. Overview. Tool Summary Do not make integer restrictions , and maybe the variables at an optimum will be integers. First Example: P i = (integer) number of producers in month i .

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Scaffolding Large Genomes Using Integer Linear Programming

Scaffolding Large Genomes Using Integer Linear Programming. James Lindsay* , Hamed Salooti , Alex Zelikovski , Ion Mandoiu * ACM-BCB 2012. University of Connecticut*. Georgia State University. De-novo Assembly Paradigm. short reads. the genome. shotgun sequencing. d enovo a ssembly.

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CS 479, section 1: Natural Language Processing

This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . CS 479, section 1: Natural Language Processing. Lecture #37: Decoding in Machine Translation. Lecture content by Eric Ringger, Dan Klein of UC Berkeley, and Uli Germann formerly of ISI.

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Tailoring Tests for Functional Binning of Integrated Circuits

Tailoring Tests for Functional Binning of Integrated Circuits. Suraj Sindia ( szs0063@auburn.edu ) Vishwani D. Agrawal ( agrawvd@auburn.edu ) Dept. of ECE, Auburn University, Auburn, AL. 21 st IEEE Asian Test Symposium, Niigata, Japan. Outline. Motivation Problem Statement

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Lecture 14 Loop Optimization and Array Analysis

Lecture 14 Loop Optimization and Array Analysis. Motivation Data dependence analysis Chapter 11.1-11.1.4, 11.6. Software Pipelining. LD[1] loop N-1 times LD[i+1] ST[i] ST[n]. for i = 1 to n A[x] = A[y] Can I software pipeline the loop? . Software Pipelining. LD[1]

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Temporal Ordering of Events in the News Domain

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Decision Procedures An Algorithmic Point of View

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Partial Program Admission by Path Enumeration

Partial Program Admission by Path Enumeration. Michael Wilson Advisor: Jonathan Turner also with Ron Cytron. Problem Context. Virtualizing the network core Router hosting platforms will run third-party networking protocols Router platforms run at Internet Core speeds (5-10 Gbps)

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Chapter 12 Managing Capacity and Demand

Chapter 12 Managing Capacity and Demand. Learning Objectives. Describe the strategies for matching capacity and demand for services. Recommend an overbooking strategy. Use Linear Programming to prepare a weekly workshift schedule. Prepare a work schedule for part-time employees.

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How to Improve Usability of WCET tools Dr.-Ing. Christian Ferdinand

How to Improve Usability of WCET tools Dr.-Ing. Christian Ferdinand AbsInt Angewandte Informatik GmbH. The Timing Problem. Unsafe: execution time measurement. Safe worst-case execution time estimate. Probability. Best-case execution time. Exact worst-case execution time. Execution time.

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Modeling problems with Integer Linear Programming (ILP)

Modeling problems with Integer Linear Programming (ILP) . Name: Chuan Huang. Use of ILP. Solution to network or graph problems. Traveling salesman problem Shortest path Minimum spanning tree Knapsack. Definition of ILP. minimize c T x subject to Ax b .

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Linear Programming Supplements (Optional)

Linear Programming Supplements (Optional). Standard Form LP (a.k.a. First Primal Form). Strictly ?. All x j 's are non-negative. Transforming Problems into Standard Form. Min c T x ? Max - c T x Max ( c T x + constant) ? Max c T x

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Power-Aware Variable Partitioning for DSPs with Hybrid PRAM and DRAM Main Memory

Power-Aware Variable Partitioning for DSPs with Hybrid PRAM and DRAM Main Memory. Tiantian Liu, Yingchao Zhao, Chun Jason Xue, Minming Li City University of Hong Kong June 8, 2011. PRAM (phase change random access memory) VS DRAM. WIN. WIN. WIN. WIN. Low power consumption.

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