Asymptotic computational complexity

Results: 28



#Item
11Advanced Algorithms – COMS31900Lecture 19 Approximation Algorithms (part four) Asymptotic Polynomial Time Approximation Schemes

Advanced Algorithms – COMS31900Lecture 19 Approximation Algorithms (part four) Asymptotic Polynomial Time Approximation Schemes

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 09:18:22
12Advanced Algorithms – COMS31900Lecture 19 Approximation Algorithms (part four) Asymptotic Polynomial Time Approximation Schemes

Advanced Algorithms – COMS31900Lecture 19 Approximation Algorithms (part four) Asymptotic Polynomial Time Approximation Schemes

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 09:18:22
13CS161 Design and Analysis of Algorithms Dan Boneh 1

CS161 Design and Analysis of Algorithms Dan Boneh 1

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Source URL: crypto.stanford.edu

Language: English - Date: 2001-04-08 18:20:48
14T D C C  M M Department of Computer Science, University of Cyprus 75 Kallipoleos St., CY-1678

T D C C  M M Department of Computer Science, University of Cyprus 75 Kallipoleos St., CY-1678

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Source URL: www.cs.ucy.ac.cy

Language: English - Date: 2008-07-29 05:34:16
15Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics Tommaso Urli1 , Markus Wagner2 , and Frank Neumann2 1

Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics Tommaso Urli1 , Markus Wagner2 , and Frank Neumann2 1

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Source URL: www.tunnuz.net

Language: English - Date: 2014-09-12 00:58:22
16Asymptotic and Finite Size Parameters for Phase Transitions: Hamiltonian Circuit as a Case Study Jeremy Franky and Ian P. Gentz and Toby Walshz August 15, 1997 analysis of algorithms, computational complexity, phase tra

Asymptotic and Finite Size Parameters for Phase Transitions: Hamiltonian Circuit as a Case Study Jeremy Franky and Ian P. Gentz and Toby Walshz August 15, 1997 analysis of algorithms, computational complexity, phase tra

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Source URL: www.cse.unsw.edu.au

Language: English - Date: 2013-07-29 02:03:45
17LOGARITHMIC LOWER BOUNDS IN THE CELL-PROBE MODEL∗ ˇ MIHAI PATRAS ¸ CU† AND ERIK D. DEMAINE† Abstract. We develop a new technique for proving cell-probe lower bounds on dynamic data structures. This technique enab

LOGARITHMIC LOWER BOUNDS IN THE CELL-PROBE MODEL∗ ˇ MIHAI PATRAS ¸ CU† AND ERIK D. DEMAINE† Abstract. We develop a new technique for proving cell-probe lower bounds on dynamic data structures. This technique enab

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Source URL: people.csail.mit.edu

Language: English - Date: 2008-09-07 01:08:29
18Location, Location, Location—The Role of Spatial Locality in Asymptotic Energy Minimization

Location, Location, Location—The Role of Spatial Locality in Asymptotic Energy Minimization

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Source URL: ic.ese.upenn.edu

Language: English - Date: 2012-12-07 21:21:13
19Introduction to Algorithms: 6.006 Massachusetts Institute of Technology Professors Srini Devadas and Erik Demaine March 7, 2008 Handout 6

Introduction to Algorithms: 6.006 Massachusetts Institute of Technology Professors Srini Devadas and Erik Demaine March 7, 2008 Handout 6

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Source URL: courses.csail.mit.edu

Language: English - Date: 2008-03-11 14:32:14
20May 21, [removed]Spring 2008 Final Exam Introduction to Algorithms Massachusetts Institute of Technology

May 21, [removed]Spring 2008 Final Exam Introduction to Algorithms Massachusetts Institute of Technology

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Source URL: courses.csail.mit.edu

Language: English - Date: 2008-12-08 16:50:45