'Linear algebra' diaporamas de présentation

CS 267 Dense Linear Algebra: Parallel Gaussian Elimination

CS 267 Dense Linear Algebra: Parallel Gaussian Elimination. James Demmel www.cs.berkeley.edu/~demmel/cs267_Spr12. Outline. Recall results for Matmul from last time Review Gaussian Elimination (GE) for solving Ax=b Optimizing GE for caches on sequential machines

1.36k views • 112 slides

Introduction to Data Science

1.06k views • 85 slides

The mysterious world of quantum computing ____________________________________________

The mysterious world of quantum computing ____________________________________________. Rajendra K. Bera, PhD Honorary Professor, International Institute of Information Technology, Bangalore Chief Mentor, Acadinnet Education Services India Pvt. Ltd., Bangalore

507 views • 46 slides

Georgia Performance Standards

Georgia Performance Standards. 8 th Grade Mathematics. Day 2: Learning to Assess and Assessing to Learn. Contact Information. Janet Davis 404-463-1736 jdavis@doe.k12.ga.us Massie McAdoo, Ph.D. 404-463-6924 mmcadoo@doe.k12.ga.us Peggy Pool 404-657-9063 ppool@doe.k12.ga.us.

490 views • 41 slides

Graph Algorithms in Numerical Linear Algebra: Past, Present, and Future

Graph Algorithms in Numerical Linear Algebra: Past, Present, and Future. John R. Gilbert MIT and UC Santa Barbara September 28, 2002. Outline. Past (one extended example) Present (two quick examples) Future (6 or 8 examples). A few themes. Paths Locality Eigenvectors

647 views • 39 slides

Eigenvalue Problems

Eigenvalue Problems. Solving linear systems A x = b is one part of numerical linear algebra, and involves manipulating the rows of a matrix. The second main part of numerical linear algebra is about transforming a matrix to leave its eigenvalues unchanged. A x = ? x

990 views • 35 slides

Computer Vision (CSE P576)

Computer Vision (CSE P576). Staff Prof: Steve Seitz ( seitz@cs ) TA: Jiun-Hung Chen ( jhchen@cs ) Web Page http://www.cs.washington.edu/education/courses/csep576/05wi/ Handouts signup sheet intro slides image filtering slides image sampling slides. Today. Intros

505 views • 35 slides

Quantitative Methods of Data Analysis

503 views • 33 slides

CMPT 361

CMPT 361. Week 1. Prerequisites. Good programming skills in C (or C++) Basic Data Structures Linked lists Arrays Geometry Simple Linear Algebra. Applications of Graphics. Entertainment Visualization HCI Virtual Reality Computer Aided Design. What is Computer Graphics.

520 views • 28 slides

747 views • 25 slides

Multiphoton and Spectral Imaging

513 views • 23 slides

Announcements

Announcements. Problem Set 2, handed out today, due next Tuesday. Late Homework should be turned into my office with date and time written on it. Mail problem sets in one zipped file to farrell (at) cs.umd.edu. When emailing matlab code to Ryan, use subject: CMSC 426 Matlab code.

304 views • 21 slides

Markov Decision Processes Infinite Horizon Problems

307 views • 19 slides

Boundless Lecture Slides

Boundless Lecture Slides. Available on the Boundless Teaching Platform. Free to share, print, make copies and changes. Get yours at www.boundless.com. Using Boundless Presentations. Boundless Teaching Platform

297 views • 16 slides

Math 2240 - Linear Algebra Introduction

504 views • 15 slides

INTEGERS LINEAR ALGEBRA

INTEGERS LINEAR ALGEBRA. MENU. LINEAR ALGEBRA ON THE PYTHAGOREAN. GO.

386 views • 14 slides

University of Queensland Quantum Information and Computation Summer School

University of Queensland Quantum Information and Computation Summer School. Overview of the school. Monday: Basic background on quantum mechanics, computer science, and information theory.

222 views • 6 slides

Student Awards and Pi Mu Epsilon Ceremony

Student Awards and Pi Mu Epsilon Ceremony. April 2010. President Ronald Regan said.

143 views • 5 slides

Gerschgorin Circle Theorem

Gerschgorin Circle Theorem. Eigenvalues

808 views • 4 slides

Linear Algebra

Linear Algebra. 1. Find the point of intersection:. Let Supply: Q s =3p and Demand: Q d =200-p Q s =3p=3*50=150 Q d =200-p=200-150=150 Equilibrium: Q s =Q d 3p=200-p 4p=200 p=50 Thus Q=3x50=150. 200. S. 50. D. 150. 200. Linear Algebra.

1.04k views • 2 slides