PPT-a nd an introduction to matrices

Coordinate Systems Jeff Chastine 1 The Local Coordinate System Jeff Chastine 2 Sometimes called Object Space Its the coordinate system the model was made in The Local Coordinate System. A graph is a set of points called vertices and lines connecting some pairs of vertices called edges Two vertices connected by an edge are said to be adjacent Figure 1 As we can see from this example vertices can be connected by m ore than one edge In particular they are useful for compactly representing and discussing the linear programming problem Maximize subject to i j This appendix reviews several properties of vectors and matrices that are especially relevant to this problem We shoul Hermitian skewHermitian and unitary matriceseigenvalues and eigenvectors diagonalisation of matrices CayleyHamilton Theorem Calculus Functions of single variable limit continuity and differentiability Mean value theorems Indeterminate forms and LHos Such matrices has several attractive properties they support algorithms with low computational complexity and make it easy to perform in cremental updates to signals We discuss applications to several areas including compressive sensing data stream Most of the analysis in BX04 concerns a doubly nonnegative matrix that has at least one o64256diagonal zero component To handle the case where is componentwise strictly positive Berman and Xu utilize an edgedeletion transformation of that results in Nickolay. . Balonin. . and . Jennifer . Seberry. To Hadi. for your 70. th. birthday. Spot the Difference!. Mathon. C46. Balonin. -Seberry C46. In this presentation. Two Circulant Matrices. Two Border Two Circulant Matrices. Square is Good!. Copyright © 2014 Curt Hill. Introduction. Matrices seem to have been developed by Gauss, for the purpose of solving systems of simulteneous linear equations. Before 1800s they are known as arrays. Matrices. Definition: A matrix is a rectangular array of numbers or symbolic elements. In many applications, the rows of a matrix will represent individuals cases (people, items, plants, animals,...) and columns will represent attributes or characteristics. A . . is a rectangular arrangement of numbers in rows and columns. . Matrix A below has two rows and three columns. The . . of matrix A are 2X3 (two by three; rows then columns). The numbers in the matrix are called . Matrix Multiplication. Matrix multiplication is defined differently than matrix addition. The matrices need not be of the same dimension. Multiplication of the elements will involve both multiplication and addition. A . matrix. . M. is an array of . cell entries. (. m. row,column. ) . that have . rectangular. . dimensions. (. Rows x Columns. ).. Example:. 3x4. 3. 4. 15. x. Dimensions:. A. a. row,column. A. Objectives: to represent translations and dilations w/ matrices. : to represent reflections and rotations with matrices. Objectives. Translations & Dilations w/ Matrices. Reflections & Rotations w/ Matrices. A cofactor matrix . C. of a matrix . A. is the square matrix of the same order as . A. in which each element a. ij. is replaced by its cofactor c. ij. . . Example:. If. The cofactor C of A is. Matrices - Operations. MATRICES. Una matriz es todo arreglo rectangular de números reales . . definidos en filas y/o columnas entre paréntesis o corchetes. Así tenemos:. NOTACION MATRICIAL. . Las matrices se denotan por letras mayúsculas y los elemento se designan con .