'O log' diaporamas de présentation

Threads and Shared Variables in C++11

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Slides: Asaf Shapira & Oded Schwartz; Sonny Ben-Shimon & Yaniv Nahum. Notes: Leia Passoni, Reuben Sumner, Yoad

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My Favorite Ten Complexity Theorems of the Past Decade II

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Quantum random walks and quantum algorithms

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CSE 326: Data Structures Lecture #18 Fistful of Data Structures

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Fingerprint Clustering with Bounded Number of Missing Values

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Metric Embeddings with Relaxed Guarantees

Metric Embeddings with Relaxed Guarantees. Ofer Neiman Hebrew University. Alex Slivkins Cornell University. Joint work with Ittai Abraham, Yair Bartal, Hubert Chan, Kedar Dhamdhere, Anupam Gupta and Jon Kleinberg. Estimating Internet latencies.

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Lecture 6 : Sorting

Lecture 6 : Sorting. Bong-Soo Sohn Assistant Professor School of Computer Science and Engineering Chung-Ang University * Lecture notes are courtesy of F M Carrano, Prof. B-R Moon, Prof. B. McKay. Sorting and Efficiency. Efficiency Big O Notation Worst, best and average case performance

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A sharp threshold for minimum bound-depth/diameter spanning and Steiner trees in random networks

A sharp threshold for minimum bound-depth/diameter spanning and Steiner trees in random networks. arXiv:0810.4908. Omer Angel Abraham Flaxman David B. Wilson. U British Columbia U Washington Microsoft Research. Minimum spanning tree (MST).

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Recurrences /

Recurrences / . Divide&Conquer. HW: 2.4 Quiz: 2.1, 4.1, 4.2, 5.2, 7.3, 7.4 Midterm: 8. given a recursive algorithm, state the recurrence solve a recurrence, using Master theorem given a recurrence and its solution, prove that the solution is correct

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Minimum-Cost Spanning Tree

Minimum-Cost Spanning Tree. weighted connected undirected graph spanning tree cost of spanning tree is sum of edge costs find spanning tree that has minimum cost. 8. 10. 14. 1. 3. 5. 7. 3. 7. 12. 6. 4. 2. 2. 4. 6. 8. 9. Example. Network has 10 edges.

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Efficient crowd-sourcing

Efficient crowd-sourcing. David Karger Sewoong Oh Devavrat Shah MIT + UIUC. A classical example. A patient is asked: rate your pain on scale 1-10 Medical student gets answer : 5 Intern gets answer : 8 Fellow gets answer : 4.5 Doctor gets answer : 6

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Lecture # 8

Lecture # 8. ALGORITHMS AND FLOWCHARTS. Algorithms. The central concept underlying all computation is that of the algorithm An algorithm is a step-by-step sequence of instructions for carrying out some task

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Designing Overlay Multicast Networks for Streaming

Designing Overlay Multicast Networks for Streaming. Jevan Saks Bruce Maggs Konstantin Andreev Adam Meyerson. Delivering Streaming Media. Server bottlenecks Points of failure Can only serve about 50Mbps of streams Network bottlenecks Unpredictable topology

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Dynamic Matchings in Convex Bipartite Graphs

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Privacy Preserving Data Mining

Privacy Preserving Data Mining. Yehuda Lindell & Benny Pinkas. Summary . Objective Various components / tools needed Algorithm. Objective . Perform Data-mining on union of two private databases Data stays private i.e. no party learns anything but output. Assumptions.

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Find the Kth largest number

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Lecture on Binary Search and Sorting

Lecture on Binary Search and Sorting. Another Algorithm Example. SEARCHING: a common problem in computer science involves storing and maintaining large amounts of data, and then searching the data for particular values data storage and retrieval are key to many industry applications

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2-3 Trees

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