'Subset sum' diaporamas de présentation

15-853:Algorithms in the Real World

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Lecturer: Moni Naor

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Security through complexity Ana Nora Sovarel

Security through complexity Ana Nora Sovarel. Projects. Please fill one slot on the signup sheet. One meeting for each group. All members must agree. Turing Machine. Finite Control. 0. 0. 1. 1. 0. 0. 1. 0. 0. 0. Definition.

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Lecturer: Moni Naor Weizmann Institute of Science

Foundations of Cryptography Lecture 2: One-way functions are essential for identification. Amplification : from weak to strong one-way functions. Lecturer: Moni Naor Weizmann Institute of Science. Recap.

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CS216: Program and Data Representation University of Virginia Computer Science

CS216: Program and Data Representation University of Virginia Computer Science Spring 2006 David Evans. Lecture 8: Crash Course in Computational Complexity. http://www.cs.virginia.edu/cs216. Procedures and Problems.

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CSE 5311: Algorithm Design and Analysis

Traveling Salesman Problem is NP-Complete by Vaishnavi Balasubramanya ID: 1000-58-3834. CSE 5311: Algorithm Design and Analysis. Part I. Traveling Salesman Problem. In the traveling salesman problem, a salesman must visit n cities.

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INHERENT LIMITATIONS OF COMPUTER PROGRAMS

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Lecture 5-7: Cell Planning of Cellular Networks

Lecture 5-7: Cell Planning of Cellular Networks. June 22 + July 6, 2008. 896960 Introduction to Algorithmic Wireless Communications. David Amzallag david.amzallag@bt.com www.cs.technion.ac.il/~amzallag/awc. What is a cell planning?.

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Optimal Superblock Scheduling Using Enumeration

Optimal Superblock Scheduling Using Enumeration. Ghassan Shobaki, CS Dept. Kent Wilken, ECE Dept. University of California, Davis www.ece.ucdavis.edu/aco/. Outline. Background Existing Solutions Optimal Solution Experimental Results Summary and Future Work. Overview.

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SUBSET-SUM

SUBSET-SUM. Instance: A set of numbers denoted S and a target number t . Problem: To decide if there exists a subset Y ?S , s.t ? y?Y y=t. 13. 16. 8. 21. 1. 3. 6. 11. SUBSET-SUM is in NP. On input S,t : Guess Y ?S Accept iff ? y?Y y=t .

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CSE 421 Algorithms

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Foundations of Cryptography Lecture 2

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Venkatesan Guruswami (CMU) Yury Makarychev (TTI-C) Prasad Raghavendra (Georgia Tech)

Finding Almost-Perfect Graph Bisections. Venkatesan Guruswami (CMU) Yury Makarychev (TTI-C) Prasad Raghavendra (Georgia Tech) David Steurer (MSR) Yuan Zhou (CMU). MaxCut and Goemans-Williamson alg. The GW SDP relaxation [GW95] 0.878-approximation

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NP -Complete Problems II

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CSE 421 Algorithms

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The class NP

Giorgi Japaridze Theory of Computability. The class NP. Section 7.3. 7.3.a. Giorgi Japaridze Theory of Computability. The HAMPATH problem. A Hamiltonian path in a directed graph G is a directed path that goes through each

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Lecture 23. Subset Sum is NPC

Lecture 23. Subset Sum is NPC. The Subset Sum Problem: Given a set of positive integers S and a "target" t. Question: Is there a subset S' of S such that the sum of the elements of S' is equal to t ?

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Poking Holes in Knapsack Cryptosystems

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The class NP

CSC 4170 Theory of Computation. The class NP. Section 7.3. 7.3.a. The HAMPATH problem. A Hamiltonian path in a directed graph G is a directed path that goes through each node exactly once. We consider a special case of this problem where the start node and target node are fixed.

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Poking Holes in Knapsack Cryptosystems

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