'Edge edge' diaporamas de présentation

Selecting leader in a clique in O (n log n) By Pierre A.Humblet

Selecting leader in a clique in O (n log n) By Pierre A.Humblet Presented by: Anat Berkman, 236357 Distributed Algorithms , Technion. Problem background. Arbitrary non empty subset wake up spontaneously ans start executing common asynchronous distributed algorithm. 5. 17. 4. 3. 1. 2.

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A B-tree of order m is a multiway search tree of order m such that:

A B-tree of order m is a multiway search tree of order m such that: Note that ceil(x) is the so-called ceiling function. It's value is the smallest integer that is greater than or equal to x. Thus ceil(3) = 3, ceil(3.35) = 4, ceil(1.98) = 2, ceil(5.01) = 6, ceil(7) = 7, etc.

1.18k views • 101 slides

Solid Modeling

Solid Modeling. Dr. Scott Schaefer. Solid Modeling Representations. Constructive Solid Geometry Octrees Boundary Representations Implicit Representations. Constructive Solid Geometry. Combine simple primitives together using set operations Union, subtraction, intersection

585 views • 58 slides

Chapter 5

Print handouts Select File, Print Edit the following selections to read: Select the OK button. Chapter 5. Multiview Sketching & Projection. Orthographic Projection. A system of drawing views of an object using. Six Standard Views . Front Usually shows most

786 views • 43 slides

Boundary Representations and Topology

Boundary Representations and Topology. Dr. Scott Schaefer. Boundary Representations. Stores the boundary of a solid Geometry: vertex locations Topology: connectivity information Vertices Edges Faces. Boundary Representations. Constant time adjacency information For each vertex,

416 views • 39 slides

Animation CS 551 / 651

Baraff, 1991. Animation CS 551 / 651. Lecture 6 Rigid-body Simulation. Assignment 1 Rigid-body Simulator. Goal: To demonstrate understanding of rigid-body dynamics by writing a simulator 3ds file loader (given) Compute COM and MOI (given) User-selected force vector (how?)

553 views • 35 slides

A Fast Algorithm for Incremental Distance Calculation

A Fast Algorithm for Incremental Distance Calculation. Paper by Ming C. Ling and John F. Canny Presented by Denise Jones. Algorithm Concept. A method for calculating the closest features on two convex polyhedra Algorithm is complete (will always find closest features between 2 polyhedra)

441 views • 31 slides

Graph Algorithms

B Smith: Fa05: rate: 1.5. Time: 65 minutes. Graph Algorithms. Math 140. 0. 6. 2. 1. 7. 3. 4. 5. Adjacency Matrix. 0. 6. 2. 5. 6. 4. 4. 3. 1. 3. 0. 5. 2. 1. 7. 3. 4. 5. Graph Representation: Adjacency List. 0. 7. 1. 0. 2. 0. 3. 5. 4. 6. 5. 4. 6. 0. 7.

438 views • 30 slides

Expectation-Maximization & Belief Propagation

Expectation-Maximization & Belief Propagation. Alan Yuille Dept. Statistics UCLA. 1. Chair. Goal of this Talk. The goal is to introduce the Expectation-Maximization (EM) and Belief Propagation (BP) algorithms.

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Multiple-quasiparticle tunneling between edge states in the FQHE

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Simulation and Animation

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Shortest Path Algorithm

Shortest Path Algorithm. What is the Shortest Path Problem? Is the shortest path problem well defined? The Dijkstra's Algorithm for Shortest Path Problem. Animated Example. Data structures required for implementation. Implementation. Review Questions. What is the shortest path problem?.

1.12k views • 12 slides

6.1 - Solid Shapes & 6.2 - Spatial Relationships

6.1 - Solid Shapes & 6.2 - Spatial Relationships. Spatial Visualization. How many cubes make up each composite shape?. 373. How many cubes make up each composite shape?. How many cubes make up each composite shape?. The basics. A Polyhedron is a closed figure, made up of polygons.

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239 views • 10 slides

ROC Analysis

ROC Analysis. Jeremy Wyatt Thanks to Gavin Brown. Evaluating vision algorithms. You have designed a new edge detection technique. You give it to me, and I try it on my image dataset where the task is to predict whether the scene contains a chair or not.

191 views • 10 slides