'Whose entries' diaporamas de présentation

Review on Linear Algebra

Review on Linear Algebra. Contents. Introduction to System of Linear Equations, Matrices, and Matrix Operations Euclidean Vector Spaces General Vector Spaces Inner Product Spaces Eigenvalue and Eigenvector. Introduction to System of Linear Equations, Matrices, and Matrix Operations.

2.78k views • 240 slides

A Random Polynomial-Time Algorithm for Approximating the Volume of Convex Bodies

A Random Polynomial-Time Algorithm for Approximating the Volume of Convex Bodies. By Group 7. The Problem Definition. The main result of the paper is a randomized algorithm for finding an approximation to the volume of a convex body ? in n -dimensional Euclidean space

966 views • 76 slides

Leveraging Big Data: Lecture 13

http://www.cohenwang.com/edith/bigdataclass2013. Leveraging Big Data: Lecture 13. Edith Cohen Amos Fiat Haim Kaplan Tova Milo. Instructors:. What are Linear Sketches?. Linear Transformations of the input vector to a lower dimension.

780 views • 66 slides

Error-correcting Pooling Designs and Group T esting for Consecutive Positives

Error-correcting Pooling Designs and Group T esting for Consecutive Positives. Advisor ? Huilan Chang Student ? Yi- Tsz Tsai. Department of Applied Mathematics National Kaohsiung University. Outline. Error-correcting pooling designs Constructed from vectors

669 views • 53 slides

CHAPTER ONE Matrices and System Equations

CHAPTER ONE Matrices and System Equations. Objective :To provide solvability conditions of a linear equation Ax=b and introduce the Gaussian elimination method, a systematical approach in solving Ax=b, to solve it. Outline. Motivative Example. Elementary row operations and Elementary Matrices.

586 views • 50 slides

Chap. 7 Relations: The Second Time Around

Chap. 7 Relations: The Second Time Around. Binary Relation. For sets A, B, any subset of A ? B is called a (binary) relation from A to B. Any subset of A ? A is called a (binary) relation on A. Reflexive Relation. e.g. Given a finite set A with |A|=n. Then,

630 views • 50 slides

SNMPv1 Communication and Functional Models

588 views • 43 slides

Theoretical Aspects

495 views • 39 slides

11. Markov Chains (MCs) 2

11. Markov Chains (MCs) 2. Courtesy of J. Bard, L. Page, and J. Heyl. 11.2.1 n-step transition probabilities (review). Transition prob. matrix. n-step transition prob. from state i to j is n-step transition matrix (for all states) is then For instance, two step transition matrix is.

655 views • 36 slides

GAUSS ELIMINATION AND GAUSS-JORDAN ELIMINATION

GAUSS ELIMINATION AND GAUSS-JORDAN ELIMINATION. An m ? n Matrix. If m and n are positive integers, then an m ? n matrix is a rectangular array in which each entry a ij of the matrix is a number. The matrix has m rows and n columns. Terminology.

10.08k views • 29 slides

Lecture 6: Matrices

Lecture 6: Matrices. Discrete Mathematical Structures: Theory and Applications. Learning Objectives. Learn about matrices and their relationship with relations Become familiar with Boolean matrices Learn the relationship between Boolean matrices and different closures of a relation

541 views • 24 slides

Lecture 6: Matrices

Lecture 6: Matrices. Discrete Mathematical Structures: Theory and Applications. Learning Objectives. Learn about matrices and their relationship with relations Become familiar with Boolean matrices Learn the relationship between Boolean matrices and different closures of a relation

415 views • 24 slides

Measures of Central Tendency

Measures of Central Tendency. Descriptive Statistics. Measures of Central Tendency. A measure of central tendency is a value that represents a typical, or central, entry of a data set. The three most commonly used measures of central tendency are: the mean the median the mode. The Mean.

1.3k views • 23 slides

A fast algorithm for Maximum Subset Matching

325 views • 19 slides

8.1 Matrices and Systems of Equations

286 views • 18 slides

C++ Exception Handling for IA-64 Unix

C++ Exception Handling for IA-64 Unix . By Priti Shrivastav. C++ EH Overview. C++ EH uses static model to avoid runtime overhead for functions with try/throw/catch statements. Destructor thunks are separate functions.

243 views • 9 slides