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         Matrices:     more books (100)
  1. The Shadow Matrix (Darkover) by Marion Zimmer Bradley, 1999-01-01
  2. The Autism Matrix by Gil Eyal, 2010-08-23
  3. Fundamentals of Matrix Computations (Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts) by David S. Watkins, 2010-07-06
  4. Elementary Matrix Algebra (Dover Books on Mathematics) by Franz E. Hohn, 2003-01-27
  5. The Extracellular Matrix and Ground Regulation: Basis for a Holistic Biological Medicine by Alfred Pischinger, 2007-07-17
  6. Health Sciences Literature Review Made Easy: The Matrix Method, Third Edition by Judith Garrard, 2010-04-29
  7. Ceramic Matrix Composites by Krishan Kumar Chawla, 2003-01-31
  8. Special Matrices and Their Applications in Numerical Mathematics: Second Edition (Dover Books on Mathematics) by Miroslav Fiedler, 2008-08-08
  9. An Introduction to Random Matrices (Cambridge Studies in Advanced Mathematics) by Greg W. Anderson, Alice Guionnet, et all 2009-12-21
  10. Matrix of Power:How the World Has Been Controlled By Powerful People Without Your Knowledge by Jordan Maxwell, 2003-05-06
  11. Topics in Matrix Analysis by Roger A. Horn, Charles R. Johnson, 1994-06-24
  12. Matrix Perturbation Theory (Computer Science and Scientific Computing) by G. W. Stewart, Ji-guang Sun, 1990-07-12
  13. Matrix Groups: An Introduction to Lie Group Theory by Andrew Baker, 2001-12-06
  14. Matrix Revelations

61. Stat/Math - More On Matrices
More on matrices. More ways of contructing matrices. Builtin ConstructionsThere are many built-in matrix constructions. Saving and loading matrices.
http://www.indiana.edu/~statmath/math/matlab/gettingstarted/morematrices.html
Stat/Math Math Matlab Getting Started More on Matrices Search: In: Stat/Math Math Matlab Getting Started
More on Matrices
More ways of contructing matrices
Built-in Constructions
There are many built-in matrix constructions. Here are a few: Input Output Comments rand(2)
rand(2,3)
ans = 0.9501 0.6068
ans = 0.8913 0.4565 0.8214
Generates a matrix with entries randomly distributed between and 1 zeros(2)
ones(2)
ans =
ans = 1 1
Generates a 2x2 matrix with all zero (or all ones) entries. eye(2)
ans = 1 Identity matrix I. hilb(3) ans = 1.0000 0.5000 0.3333 3x3 Hilbert matrix. To get more information on these, look at the help page for special matrices- type help elmat Concatenation New matrices may be formed out of old ones. Suppose we have a = [1 2; 3 4] a = 1 2 Then we can make a new matrix in any of the following ways. Input Output [a, a, a] ans = 1 2 1 2 1 2 [a; a; a] ans = 1 2 [a, zeros(2); zeros(2), a'] ans = 1 2 Programming Matrices may also be constructed by programming. Here is an example using two "for" loops.

62. Collapsed Adjacency Matrices, Character Tables And Ramanujan Graphs
A database of character tables of endomorphism rings.Category Science Math Algebra Group Theory Tables......Collapsed Adjacency matrices, Character Tables and Ramanujan Graphs. Tableof Collapsed Adjacency matrices, Character Tables and Ramanujan Graphs.
http://www.math.rwth-aachen.de/~Ines.Hoehler/
Collapsed Adjacency Matrices, Character Tables and Ramanujan Graphs
This is a database of character tables of endomorphism rings. Let G be a finite group, K a field and M a finite set on which G acts transitively. For a in M let M ,...,M r be the distinct orbits of G a , which have respective representatives a =a, a ,..., a r . Let E i i [k,l] be the collapsed adjacency matrix for the orbital digraph (M,E i ). Therefore A i is defined as the number of neighbours of a k in M l (see PrSoi for details).
Let R denote the endomorphism ring End KG ,...,S k
The entries of a column of the character table are the eigenvalues of the corresponding orbital digraph (see PrSoi for details).
(see CePoTeTrVe for details). For rank up to 5 the collapsed adjacency matrices have been computed by Cheryl E. Praeger and Leonard H. Soicher (PrSoi) . Several matrices (also for larger rank cases) can be found in IvLiLuSaSoi , where numerous further references are given.) The following matrices originally have been published in:
LLS
: Fi with 2 .M
Soi
: Co with 2 .O
IM
: J with 2 .M
Nor
: M with 2.BM.

63. Matrices.net
2/8/2003, Welcome to www.matrices.net! My name is Sara Howard. (how special).matrices' current mood mood. Email Me. Awesome! I updated my site
http://www.matricesoddity.com/
Welcome to www.matrices.net ! My name is Sara Howard. This site is divided into three sections, "About Me" which is a short autobiography, "Art" which is a showcase of my artwork and characters, and "Other Stuff" which includes things like a forum, my journal, and my webcam. Thank you for visiting, I hope you enjoy your stay. Go ahead and explore the site, and have fun! You are person number , since since July 21st 2001. (how special) Matrices' current mood: Awesome! I updated my site:
  • Auctions for a CD full of my art are being auctioned on FurBid! Its being put on by my good friend WolfPac , check out his auction page for listings: Also, when I get the chance, I may put up some stuff for auction, so check my FurBid auctions as well. Forum updated with some cool new features, and a new Critique board for you to post artwork for any comments or constructive criticism, and an Introductions board so you can make some great new friends! Journal page works again, thanks to my good friend

64. Matrices
Information on matrices matrices are sets of numbers which are put inside bracketsin a tabular form. Like numbers, matrices can also be used in calculations.
http://www.projectgcse.co.uk/maths/matrices.htm

Click here for GCSE coursework!
G C S E subject: English Maths Biology Chemistry ... Number
Matrices are sets of numbers which are put inside brackets in a tabular form. A matrix contains information which you can manipulate. To be able to work with matrices you have to know the order. This is shown as rows by columns. Here are some examples:
1 by 3 2 by 2 2 by 3 3 by 3 3 by 2 3 by 1 Like numbers, matrices can also be used in calculations. You should know how to add, subtract and multiply. Addition
This is a simple calculation. Your matrices must have the same order as addition just involves adding corresponding numbers from each matrix. This can be written in the form: a
c b
d w
y x
z a+w
c+y b+x
d+z Example: Subtraction This is just like addition. Again your matrices must have the same order but you just involves subtract corresponding numbers from each matrix. This can be written in the form: a c b d w y x z a-w c-y b-x d-z Example: Multiplication To multiply two matrices together, they must be compatible. Again, it is all to do with the orders. The number of columns from the first matrix must be the same as the number of rows of the second matrix. A 3 by 4 matrix is not compatible with a 3 by 4 matrix. However it is compatible with any matrix with 4 rows like a 4 by 1, 4 by 3 and so on. The solution would have an order with the same number of rows as the first matrix and the same number of columns as the second matrix. So a matrix with the order

65. Index To Matrices
matrices of Performance Indicators. Introduction Matrix Index to matrices1. Provision; 1.1 Provision per Target Population; 1.2 Provision per Use;
http://www.staff.dmu.ac.uk/~camile/matrices/
Matrices of Performance Indicators
Introduction - Index to Matrices - Key to Manuals Key to Functions First Matrix Index to Matrices

66. Matrices Of Performance Indicators
matrices of Performance Indicators. Introduction Index to matrices- CAMILE Home Page Introduction These matrices are the results
http://www.staff.dmu.ac.uk/~camile/matrices/intro.htm
Matrices of Performance Indicators
Introduction - Index to Matrices CAMILE Home Page Introduction These matrices are the results of a comparative review of a number of key documents on performance indicators for libraries. The review was commissioned by the DECIDE project and carried out by John Sumsion The matrices present a list of the performance indicators appearing in the following manuals (follow the links for more details):
  • Moore, N. Measuring the Performance of Public Libraries: a Draft Manual . Paris, General Information Programme and UNISIST, UNESCO, January 1989. More details. Van House, Nancy A;Lynch, Mary Jo; McClure, Charles R; Zweizig, Douglas L;Rodger, Eleanor Jo. Output Measures for Public Libraries: A Manual of Standardized Procedures . Second edition. Chicago, American Library Association, 1987. More details. International Standards Organisation ISO 11620 Information and Documentation - Library Performance Indicators Draft ISO/FDIS 11620: 1997 (E). More details. Poll, Roswitha; Boekhorst, Peter te. Measuring Quality: International Guidelines for Performance Measurement in Academic Libraries . IFLA Publications 76, Munich, 1996.

67. IBM Personal Computing Support - ThinkPad - Software And Device Driver File Matr
PC support home, Login, Profile, My page, Ask an expert, Help. ThinkPad Softwareand device driver file matrices. Applicable countries/regions. Worldwide.
http://www.ibm.com/pc/qtechinfo/TPAD-MATRIX.html
Home My account Select a country Select a language ... Site help Related links: Business Partner support IBM PC Institute IBM Publications Center Find a Business Partner ... IBM Supports Microsoft Service Packs ThinkPad - Software and device driver file matrices Applicable countries and regions Use the links below to find the latest ThinkPad software applications and device drivers for your system.
NOTE: If you get a blank page when attempting to view any matrix, try either logging out of your IBM PC Support Web profile or clearing your Web browser's cache. Other information var mod=2 Applicable countries and regions Worldwide Back to top Document id: TPAD-MATRIX Last modified: 2003-03-11 Printable version
About IBM
Privacy Legal Contact

68. REDIRECTION...
Steve Baker's web site has moved Please update your links and bookmarks. In justa few seconds, I'll redirect you to it's new home at http//sjbaker.org/steve.
http://web2.iadfw.net/sjbaker1/matrices_can_be_your_friends.html
Steve Baker's web site has moved Please update your links and bookmarks. In just a few seconds, I'll redirect you to it's new home at http://sjbaker.org/steve

69. Presto Matrices
Translate this page X, Presto matrices P. x, . Utilización de matrices. Para utilizar conceptos paramétricosya redactados basta con que el usuario disponga de Presto Presupuestos.
http://www.soft.es/pages/presto/MATRICES.HTM

Soft

Distribuidores

Referencias

Ofertas/versiones
...
Direcciones útiles

X Presto Matrices
P x INDICE X Actualizada el 30 ene 2003 X Muchas unidades de obra son variaciones relativamente parecidas de una estructura general común. En lugar de escribir una y otra vez textos, cantidades y descomposiciones con pequeñas variantes, Presto Matrices permite redactar las reglas de generación de todos estos elementos, en función de los diferentes valores que pueden adoptar una serie de variables o parámetros. Para utilizar las matrices o conceptos paramétricos ya redactados sólo se necesita Presto Presupuestos, seleccionando en pantalla la combinación de valores del caso particular deseado. Conceptos paramétricos Cuando se redactan precios de unidades de obra se pierde mucho tiempo en escribir textos y calcular rendimientos de elementos compuestos que comparten muchas características comunes, con sólo pequeñas diferencias entre unos y otros. La elaboración de cuadros de precios tradicionales, con colecciones de conceptos predefinidos, se complica cuando el número de combinaciones se hace muy grande, ya que es imposible tener previstas todas las posibilidades. La preparación de un concepto paramétrico por cada familia elimina esta dificultad, ya que resuelve de una sola vez todas las combinaciones admisibles.

70. Substitution Matrices
Scoring Systems. Logodds Substitution matrices for Scoring Amino-Acid Alignments. Therelationship between BLOSUM and PAM substitution matrices.
http://www.ncbi.nlm.nih.gov/Education/BLASTinfo/Scoring2.html
Scoring Systems Log-odds Substitution Matrices for Scoring Amino-Acid Alignments
BLOSUM62 Substitution Scoring Matrix
. The BLOSUM 62 matrix shown here is a 20 x 20 matrix of which a section is shown here in which every possible identity and substitution is assigned a score based on the observed frequencies of such occurences in alignments of related proteins. Identities are assigned the most positive scores. Frequently observed substitutions also receive positive scores and seldom observed substitutions are given negative scores.
The PAM family
  • PAM matrices are based on global alignments of closely related proteins.
  • The PAM1 is the matrix calculated from comparisons of sequences with no more than 1% divergence.
  • Other PAM matrices are extrapolated from PAM1.
    The BLOSUM family
  • BLOSUM matrices are based on local alignments.
  • BLOSUM 62 is a matrix calculated from comparisons of sequences with no less than 62% divergence.
  • All BLOSUM matrices are based on observed alignments; they are not extrapolated from comparisons of closely related proteins.
  • BLOSUM 62 is the default matrix in BLAST 2.0. Though it is tailored for comparisons of moderately distant proteins, it performs well in detecting closer relationships. A search for distant relatives may be more sensitive with a different matrix.
  • 71. Matrices
    Commands for Math Mode Previous Bracketing. matrices. You can generatea few different kinds of matrices in . $$ \begin{matrix} a_{11}
    http://abel.math.harvard.edu/computing/latex/manual/node25.html

    72. Electoral Matrices Introduction About The Project The Database -
    Electoral matrices. Electoral matrices will be posted in JanuaryFebruary2002. Project on Political Transformation and the Electoral
    http://www2.essex.ac.uk/elect/database/matrices.asp
    Electoral Matrices Introduction
    About the Project
    The Database
    - Legislation
    - Election Results
    - Constituency Data
    - Candidate Data
    Country Bulgaria Czech Republic Estonia Hungary Latvia Lithuania Moldova Poland Romania Russia Slovakia Ukraine Option View All Legislation Election Results Constituency Data Candidate Data Core Countries
    - Bulgaria
    - Czech Republic
    - Estonia - Hungary - Latvia - Lithuania - Moldova - Poland - Romania - Russia - Slovakia - Ukraine Electoral System Matrices
    Working Papers Useful Links Contact details Electoral matrices will be posted in January-February 2002. Project on Political Transformation and the Electoral Process in Post-Communist Europe Created by Marina Popescu and Martin Hannavy Last updated December 12, 2002 Please send your comments and suggestions to mpope@essex.ac.uk

    73. IRM Brownfields Pilot Matrices
    IRM Brownfields Pilot matrices. Please note The Brownfields Pilot matrices arecopyrighted © 19962000 by the Institute for Responsible Management, Inc..
    http://www.instrm.org/pmatrix/

    IRM Home
    IRM Brownfields Pilot Matrices
    Please note:
    Institute for Responsible Management, Inc. Enter the Pilot Matrix Area

    74. MATRICES
    //3 x 3 constant matrix A = ! 2. 2. 3. ! ! 0. 0. 0.7853982 ! ! 5
    http://www-rocq.inria.fr/scilab/doc/demos_html/node167.html
    Next: Lists Up: OBJECTS Previous: SCALARS
    MATRICES
    Scilab group

    75. 12th International Workshop On Matrices And Statistics
    The 12th International Workshop on matrices and Statistics (IWMS2003) willbe held at the University of Dortmund (Dortmund, Germany) on August 5-8.
    http://www.statistik.uni-dortmund.de/IWMS/main.html
    Purpose and Location
    Organizing Committees

    Previous Workshops

    Preliminary Program
    Tentative Registration

    Final Registration
    Paper Submission

    Accomodation

    th International Workshop
    on Matrices and Statistics
    IWMS-2003 Dortmund, Germany, August 5-8, 2003
    home
    th International Workshop on Matrices and Statistics IWMS 2003
    Purpose and Location
    The 12th International Workshop on Matrices and Statistics (IWMS-2003) will be held at the University of Dortmund (Dortmund, Germany) on August 5-8, 2003 with the purpose to foster the interaction of researchers in the interface between statistics and matrix theory.
    Organizing Committees
    Previous Workshops
    This Workshop in Germany will be the 12th in a series. The 11th International Workshop on Matrices and Statistics was held at the Danish Technical University in Lyngby, Denmark: 29-31 August 2002.
    Workshop Fee
    The expected workshop fee is including four lunches and coffee/tea.
    Early Tentative Registration
    Please let us know if you have definite or tentative plans to attend the 12th International Workshop on Matrices and Statistics in Dortmund by submitting the Tentative Registration form.

    76. Analysis Of Incomplete Datasets: Estimation Of Mean Values And Covariance Matric
    A regularized expectationmaximization (EM) algorithm for the estimation of mean values and covariance matrices and for the imputation of missing values in large, incomplete datasets.
    http://www.gps.caltech.edu/~tapio/imputation/
    Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values
    Purpose Installation Module descriptions Possible modifications
    Purpose
    What follows is a collection of Matlab modules for
    • the estimation of mean values and covariance matrices from incomplete datasets, and the imputation of missing values in incomplete datasets.
    The modules implement the regularized EM algorithm described in T. Schneider, 2001: Analysis of incomplete climate data: Estimation of mean values and covariance matrices and imputation of missing values Journal of Climate The EM algorithm for Gaussian data is based on iterated linear regression analyses. In the regularized EM algorithm, ridge regression with generalized cross-validation replaces the conditional maximum likelihood estimation of regression parameters in the conventional EM algorithm. The implementation of the regularized EM algorithm is modular, so that the modules that perform the ridge regression and the generalized cross-validation can be exchanged for other regularization methods and other methods of determining a regularization parameter. Per-Christian Hansen's Regularization Tools contain Matlab modules implementing a collection of regularization methods that can be adapted to fit into the framework of the EM algorithm. The generalized cross-validation modules of the regularized EM algorithm are adapted from Hansen's generalized cross-validation modules.

    77. Matrices
    matrices. de telrij van 3 3, 6, 9, , 30. Zetten we bij telrijende getallen naast of onder elkaar, bij matrices doen we beide,
    http://www.pandd.demon.nl/matrices.htm
    Matrices Definitie Bewerkingen Eigenschappen Determinanten ... Vergelijkingen Wat is een matrix
    Een matrix (meervoud: matrices of matrixen) is in principe een eenvoudig wiskundig begrip, dat baseerd is op een eindige rij getallen, zoals de telrij van 3: 3, 6, 9, ..., 30. Zetten we bij telrijen de getallen naast of onder elkaar, bij matrices doen we beide, Definitie
    Een matrix is een rij reële getallen die gerangschikt zijn in rijen en kolommen.
    Om aan te geven dat er sprake is van een matrix worden de tekens [ en ] (of soms ook ( en )) gebruikt (zie figuur 1 en 2).
    Als m het aantal rijen en n het aantal kolommen is spreekt men van een mxn -matrix of ook van een (m,n)-matrix
    Is m n , dan is er sprake van een vierkante matrix. Het aantal rijen (of kolommen) heet dan de orde van de vierkante matrix.
    Een kolom van een matrix wordt ook wel kolomvector ; een rij van een matrix heet ook wel rijvector
    De (p,q)- en de (m,n)-matrix zijn van hetzelfde type (of van dezelfde vorm ) als p m en q n Hebben we bijvoorbeeld 6 getallen, dan kunnen we deze getallen rangschikken als

    78. TCP TECNOPRODUCTOS S.R.L.
    Rapidos y accesorios para aire comprimido y coneccion de circuitos de control de temperatura en moldes y matrices.
    http://www.tecnoproductos.com.ar
    Free Web site hosting - Freeservers.com
    TECNOPRODUCTOS S.R.L.
    TCP TECNOPRODUCTOS S.R.L
    • Serie CA: Serie R:
    ir a: ACOPLES PARA AIRE COMPRIMIDO ir a: ACOPLES PARA MOLDES TCP TECNOPRODUCTOS S.R.L.
    Pcia. Buenos Aires – Argentina
    telefax: 4766-5657

    e-mail: tcptecno@hotmail.com

    79. MATRICES
    matrices A matrix is a rectangular array of numbers. The numbers in thearray are called the elements of the matrix. Examples of matrices
    http://www.swt.edu/slac/math/matrixop/matrixop.html
    MATRICES A matrix is a rectangular array of numbers.
    The numbers in the array are called the elements of the matrix . The array is enclosed with brackets.
  • If m and n are positive integers, then an m x n matrix (read "m by n") is a matrix that contains m rows (horizontal lines) and n columns (vertical lines).
      An array composed of a single row of numbers is called a row matrix
        An array composed of a single column of numbers is called a column matrix
          A matrix with the same number of rows and columns is said to be a square matrix
            Two matrices are equal matrices if they have the same order ( m x n ) and their corresponding components/elements are equal.
              An n x n matrix that consists of 1's (ones) on its main diagonal and 0's (zeros) elsewhere is called the identity matrix of order n and is denoted by I or I n
            Note: An identity matrix must be square. If A is an n x n matrix, then the identity matrix has the property that AI = A and IA = A.
            • If A is a square matrix and if there exists a matrix A such that AA = I = A A, then A
  • 80. The Matrix Computation Toolbox
    free A collection of MATLAB Mfiles containing functions for constructing test matrices, computing matrix factorizations, visualizing matrices, and carrying out direct search optimization.
    http://www.maths.man.ac.uk/~higham/mctoolbox/
    The Matrix Computation Toolbox
    by Nicholas J. Higham The Matrix Computation Toolbox is a collection of MATLAB M-files containing functions for constructing test matrices, computing matrix factorizations, visualizing matrices, and carrying out direct search optimization. Various other miscellaneous functions are also included. This toolbox supersedes the author's earlier Test Matrix Toolbox (final release 1995). The toolbox was developed in conjunction with the book Accuracy and Stability of Numerical Algorithms SIAM Second edition , August 2002, xxx+680 pp.). That book is the primary documentation for the toolbox: it describes much of the underlying mathematics and many of the algorithms and matrices (it also describes many of the matrices provided by MATLAB's gallery function). The picture on the left, produced by toolbox function pscont , shows a view of pseudospectra of the matrix gallery('triw',11) The toolbox is distributed under the terms of the GNU General Public License (version 2 of the License, or any later version) as published by the Free Software Foundation. The toolbox has been tested under MATLAB 6.1 (R12.1) and MATLAB 6.5 (R13). For how to overcome a minor incompatibility with MATLAB 6.1 and earlier see the updates link below.

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