'Matrix matrix' presentation slideshows

2/19/97 Horst D. Simon cs.berkeley/cs267

CS 267 Applications of Parallel Processors Lecture 9: Computational Electromagnetics - Large Dense Linear Systems. 2/19/97 Horst D. Simon http://www.cs.berkeley.edu/cs267. Outline - Lecture 9. - Computational Electromagnetics - Sources of large dense linear systems

779 views • 65 slides

Extensible Tree

Extensible Tree. Discrete Mathematics and Its Applications Baojian Hua bjhua@ustc.edu.cn. book. chap1. chap2. sec11. sec12. sec21. sec22. subsec111. Binary Tree. 10. 7. 15. 5. 8. 12. 37. 3. Binary Search Tree (BST). Extensible Tree. 1. 2. 3. 4. 5. 6. 7. 8.

527 views • 52 slides

586 views • 44 slides

Introduction to R

Introduction to R. A workshop hosted by STAT CLUB November 19, 2014. Outline. About R Getting started The very basics Importing data Common commands. I. About R. What is R?. Free, open-source software with its own language Works on all operating systems

541 views • 44 slides

Object Oriented Programming using C++

Object Oriented Programming using C++. Overview. Problem Solving Features of an OOL Basic Syntax Programming Paradigms. Analysis Design Coding Management. Programming paradigms Programming languages. Solving a Programming Problem. Concepts & Relationships. A rectangle uses lines

441 views • 43 slides

Linear Algebra Review (with a Small Dose of Optimization)

Linear Algebra Review (with a Small Dose of Optimization). Hristo Paskov CS246. Outline. Basic definitions Subspaces and Dimensionality Matrix functions: inverses and eigenvalue decompositions Convex optimization. Vectors and Matrices. Vector May also write. Vectors and Matrices.

526 views • 39 slides

Linear Algebra Review (with a Small Dose of Optimization)

Linear Algebra Review (with a Small Dose of Optimization). Hristo Paskov CS246. Outline. Basic definitions Subspaces and Dimensionality Matrix functions: inverses and eigenvalue decompositions Convex optimization. Vectors and Matrices. Vector May also write. Vectors and Matrices.

558 views • 39 slides

Design of parallel algorithms

Design of parallel algorithms. Matrix operations J. Porras. Contents. Matrices and their basic operations Mapping of matrices onto processors Matrix transposition Matrix-vector multiplication Matrix-matrix multiplication Solving linear equations. Matrices.

576 views • 33 slides

An Interactive Environment for Combinatorial Scientific Computing

An Interactive Environment for Combinatorial Scientific Computing. Viral B. Shah John R. Gilbert Steve Reinhardt With thanks to: Brad McRae, Stefan Karpinski, Vikram Aggarwal, Min Roh. HPC today is exciting !. Complex software stack. Computational ecology, CFD, data exploration.

407 views • 31 slides

An Interactive Environment for Combinatorial Scientific Computing

An Interactive Environment for Combinatorial Scientific Computing. Viral B. Shah John R. Gilbert Steve Reinhardt With thanks to: Brad McRae, Stefan Karpinski, Vikram Aggarwal, Min Roh. HPC today is exciting !. Complex software stack. Computational ecology, CFD, data exploration.

315 views • 31 slides

Numerical Linear Algebra An Introduction

Numerical Linear Algebra An Introduction. Levels of multiplication . vector-vector a[i]*b[i] matrix-vector A[i,j]*b[j] matrix-matrix A[I,k]*B[k,j]. Matrix-Matrix. for (i=0; i<n; i++) for (j=0; j<n; j++) { C[i,j]=0.0; for (k=0; k<n; k++)

395 views • 27 slides

Template

Template. Implicit function overload. Function overload. double ssqq(double & a, double & b) { return(a*b);} float ssqq(float & a, float & b) {return(a*b);} int ssqq(int & a, int & b) {return(a*b);}. main() { int na=3, nb=-5; float ra=2.1, rb=-3.4; double da=4.7, db=-5.6;

357 views • 26 slides

Matrices and vectors

734 views • 25 slides

Data Structure and Algorithm: CIT231

Data Structure and Algorithm: CIT231. Lecture 4: ADT and Introduction to Object Oriented Programming (OOP) DeSiaMore www.desiamore.com/ifm. Introduction to Object Oriented Programming. In this lecture you will learn the general concepts of Object Oriented Programming (OOP). Inheritance

333 views • 25 slides

The ? 2 (chi-squared) test for independence

The ? 2 (chi-squared) test for independence. Joan Ridgway. A random sample of 200 teachers in higher education, secondary schools and primary schools gave the following numbers of men and women in each sector:.

333 views • 16 slides

State Equations

State Equations. BIOE 4200. Processes. A process transforms input to output States are variables internal to the process that determine how this transformation occurs. u 1 (t). N state variables x 1 (t) x 2 (t) . . . x n (t). y 1 (t). u 2 (t). M inputs. y 1 (t). P outputs. . .

278 views • 8 slides