'Symmetric matrix' diaporamas de présentation

SLAM Summer School 2004

1.04k views • 82 slides

Visualization History

927 views • 73 slides

Extended Overview of Weighted Gene Co-Expression Network Analysis (WGCNA)

Extended Overview of Weighted Gene Co-Expression Network Analysis (WGCNA). Steve Horvath University of California, Los Angeles. Book on weighted networks. E-book is often freely accessible if the library has a subscription to Springer books. Contents.

1.87k views • 73 slides

Optimization Methods

Optimization Methods. Decision making. Examples: determining which ingredients and in what quantities to add to a mixture being made so that it will meet specifications on its composition allocating available funds among various competing agencies

1.25k views • 70 slides

Shape Analysis and Retrieval

Shape Analysis and Retrieval. Statistical Shape Descriptors. Notes courtesy of Funk et al. , SIGGRAPH 2004. Outline: Shape Descriptors Statistical Shape Descriptors Singular Value Decomposition (SVD). Shape Matching.

990 views • 65 slides

686 views • 61 slides

test for definiteness of matrix

1.53k views • 45 slides

Lecture 3 Matrices

Lecture 3 Matrices. Lat Time Matrices, Gaussian Elimination and Gauss-Jordan Elimination Operation with Matirces Properties of Matrix Operations Reading Assignment : Sec. 1.1 and 2.1of Text. Elementary Linear Algebra R. Larsen et al. (5 Edition) TKUEE ??? -NTUEE SCC_09_2007.

811 views • 39 slides

4. General Relativity and Gravitation

4. General Relativity and Gravitation. 4.1. The Principle of Equivalence 4.2. Gravitational Forces 4.3. The Field Equations of General Relativity 4.4. The Gravitational Field of a Spherical Body 4.5. Black and White Holes. 4.1. The Principle of Equivalence.

873 views • 38 slides

Coastal Ocean Observation Lab http://marine.rutgers.edu/cool

Coastal Ocean Modeling, Observation and Prediction. John Wilkin, Hernan Arango, Julia Levin, Javier Zavala-Garay, Gordon Zhang Regional Ocean Prediction Scott Glenn, Oscar Schofield, Bob Chant Josh Kohut, Hugh Roarty, Josh Graver Coastal Ocean Observation Lab Janice McDonnell

434 views • 29 slides

????? ????? ????????? ????? ??????

????? ????? ????????? ????? ??????. ???? ????. Elements of Graph Theory. A graph G = ( V , E ) consists of a vertex set V and an edge set E . If G is a directed graph , each edge is an ordered pair of vertices

427 views • 29 slides

C&O 355 Mathematical Programming Fall 2010 Lecture 9

C&O 355 Mathematical Programming Fall 2010 Lecture 9. N. Harvey. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box .: A A A A A A A A A A. Topics. Semi-Definite Programs (SDP) Solving SDPs by the Ellipsoid Method Finding vectors with constrained distances.

377 views • 25 slides

Fundamentals of Engineering Analysis EGR 1302 - Matrix Multiplication, Types

468 views • 25 slides

MATRIX

MATRIX. CONCEPT OF MATRIX. 1.Definition of matrix Equations. Rectangular number table can be formed from the coefficients. This is a matrix. The rectangular number table with m rows and n columns constructed by m ?n numbers in a certain order is called a m ?n

438 views • 23 slides

6.1 Eigenvalues and Diagonalization

6.1 Eigenvalues and Diagonalization. Definitions. A is n x n. ? is an eigenvalue of A if AX = ?X has non zero solutions X (called eigenvectors ) If ? is an eigenvalue of A, the set E ? = E ? (A) = {X | X in ? n , AX = ?X} is a vector space called the eigenspace associated w/ ?

574 views • 22 slides

Two-View Geometry

374 views • 22 slides

ITIS 6010/8010 Wireless Network Security

276 views • 18 slides

Rigid Body Transformations

616 views • 16 slides

Chapter 3

371 views • 15 slides

Symmetric and Skew Symmetric Matrices

3.9k views • 13 slides