Knapsack problem

Results: 111



#Item
21Revenue Maximization in the Dynamic Knapsack Problem Deniz Dizdar, Alex Gershkov and Benny MoldovanuAbstract

Revenue Maximization in the Dynamic Knapsack Problem Deniz Dizdar, Alex Gershkov and Benny MoldovanuAbstract

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Source URL: pluto.huji.ac.il

Language: English - Date: 2014-02-02 05:15:06
22Improved Results on Online Dynamic Bin Packing Mihai Burcea (Speaker) 1  †‡

Improved Results on Online Dynamic Bin Packing Mihai Burcea (Speaker) 1 †‡

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Source URL: cgi.csc.liv.ac.uk

Language: English - Date: 2013-09-22 04:22:24
23CS261: A Second Course in Algorithms Lecture #15: Introduction to Approximation Algorithms∗ Tim Roughgarden† February 23, 2016

CS261: A Second Course in Algorithms Lecture #15: Introduction to Approximation Algorithms∗ Tim Roughgarden† February 23, 2016

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Source URL: theory.stanford.edu

Language: English - Date: 2016-02-28 14:26:27
24CS264: Homework #7 Due by midnight on Wednesday, November 12, 2014 Instructions: (1) Students taking the course pass-fail should complete the exercises. Students taking the course for a letter grade should complete both

CS264: Homework #7 Due by midnight on Wednesday, November 12, 2014 Instructions: (1) Students taking the course pass-fail should complete the exercises. Students taking the course for a letter grade should complete both

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Source URL: theory.stanford.edu

Language: English - Date: 2014-11-06 11:24:24
25Hans Kellerer, Ulrich Pferschy, David Pisinger  Knapsack Problems Springer’s internal project number, if known  Mathematics – Monograph (English)

Hans Kellerer, Ulrich Pferschy, David Pisinger Knapsack Problems Springer’s internal project number, if known Mathematics – Monograph (English)

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Source URL: bioinfo.ict.ac.cn

Language: English - Date: 2014-11-28 11:05:21
26Computer Science Education 2004, Vol. 14, No. 3, pp. 235–248 Teaching Algorithm Efficiency at CS1 Level: A Different Approach Judith Gal-Ezer, Tamar Vilner, and Ela Zur

Computer Science Education 2004, Vol. 14, No. 3, pp. 235–248 Teaching Algorithm Efficiency at CS1 Level: A Different Approach Judith Gal-Ezer, Tamar Vilner, and Ela Zur

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Source URL: www.openu.ac.il

Language: English - Date: 2007-10-29 03:41:13
27Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem Long Tran–Thanh∗ and Yingce Xia† and Tao Qin‡ and Nicholas R. Jennings§ Abstract We study the stochastic multi

Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem Long Tran–Thanh∗ and Yingce Xia† and Tao Qin‡ and Nicholas R. Jennings§ Abstract We study the stochastic multi

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Source URL: www.orchid.ac.uk

Language: English - Date: 2015-08-05 05:27:38
    2839 An Efficient Hybrid Algorithm for the Separable Convex Quadratic Knapsack Problem TIMOTHY A. DAVIS, University of Florida WILLIAM W. HAGER, University of Florida JAMES T. HUNGERFORD, University of Florida

    39 An Efficient Hybrid Algorithm for the Separable Convex Quadratic Knapsack Problem TIMOTHY A. DAVIS, University of Florida WILLIAM W. HAGER, University of Florida JAMES T. HUNGERFORD, University of Florida

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    Source URL: faculty.cse.tamu.edu

    Language: English - Date: 2015-09-25 11:32:38
      2911. A PPROXIMATION A LGORITHMS ‣ load balancing ‣ center selection ‣ pricing method: vertex cover ‣ LP rounding: vertex cover ‣ generalized load balancing

      11. A PPROXIMATION A LGORITHMS ‣ load balancing ‣ center selection ‣ pricing method: vertex cover ‣ LP rounding: vertex cover ‣ generalized load balancing

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      Source URL: vigna.di.unimi.it

      Language: English - Date: 2014-11-08 06:52:04
      30Introduction to Algorithms Massachusetts Institute of Technology Professors Erik Demaine, Piotr Indyk, and Manolis Kellis May 19, Spring 2011

      Introduction to Algorithms Massachusetts Institute of Technology Professors Erik Demaine, Piotr Indyk, and Manolis Kellis May 19, Spring 2011

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      Source URL: courses.csail.mit.edu

      Language: English - Date: 2011-09-27 14:14:46