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         Matrices:     more books (100)
  1. Statistical Theory and Random Matrices (Pure and Applied Mathematics (Marcel Dekker)) by Moshe Carmeli, 1983-02-24
  2. Matrices over Commutative Rings (Pure and Applied Mathematics)
  3. Probability and Matrices (Custom Edition)
  4. Geometry of Matrices: In Memory of Professor L K Hua (1910-1985) by Che-Hsien Wan, Zhe-Xian Wan, et all 1996-07
  5. Lectures on Matrices (Phoenix Edition) by J. H. M. Wedderburn, 2004-12-17
  6. Infinite Matrices and the Gliding Hump by Charles Swartz, 1996-01-15
  7. Combinatorics of Nonnegative Matrices (Translations of Mathematical Monographs) by Vladimir Nikolaevich Sachkov, V. E. Tarakanov, 2002-08
  8. Factor Analysis of Data Matrices by HorstPaul, 1965
  9. THE THEORY OF MATRICES : MATRIX THEORY [complete set]. by F.R. Gantmacher., 1960
  10. Reduced Density Matrices in Quantum Chemistry (Theoretical chemistry; a series of monographs ; v. 6) by Ernest Roy Davidson, 1976-06-14
  11. Special Matrices and Their Applications in Numerical Mathematics: Second Edition: Second Edition by Miroslav Fiedler, 2008-07-21
  12. Matrices in control theory: with applications to linear programming, by S Barnett, 1971
  13. Invariant Subspaces of Matrices with Applications (Classics in Applied Mathematics) by Israel Gohberg, Peter Lancaster, et all 2006-03-24
  14. Selecting for ethnically diverse children who may be gifted using Raven's Standard Progressive Matrices and Naglieri Nonverbal Abilities Test.(Research)(Report): ... An article from: Multicultural Education by Joan D. Lewis, Stephanie S. DeCamp-Fritson, et all 2007-09-22

81. NLinAlg - A .NET Class Library For Algebra Structures
A .NET class library for working with algebra structures such as matrices and vectors. Open source, GPL
http://nlinalg.sourceforge.net/
This page requires frames, but your browser does not support them.

82. Matrices
Institute for Manufacturing Centre for Economic Policy.
http://www.ifm.eng.cam.ac.uk/dstools/represent/matric.html
@import "/common/import.css"; Institute for Manufacturing management policy technology Dept of Engineering IfM Home News Contact ... Local
Decision support tools
References
Matrices
Matrices can be used in numerous ways to record, organise, manipulate and visualise information. See specifically the

83. Enzmann_Software
Programs written in Pascal for Windows and SPSSmacros including random eigenvalues, collapsing correlation matrices and standard deviations from several independent samples, and statistical tests.
http://www2.jura.uni-hamburg.de/instkrim/kriminologie/Mitarbeiter/Enzmann/Softwa
Dr. Dirk Enzmann - Statistical Software - Dirk Enzmann's gimmicks Below you find some small programs, SPSS macros, EXCEL-templates, and R functions (see: The Comprehensive R Archive Network ) I wrote for special calculations in statistical analyses. The programs are written in Pascal 7.0 and run under Windows (3.x, 9x, NT4, XP). The files can be downloaded and spread without further permisson under the condition that they remain unchanged. They have been tested as virus free. The author is not liable to any damages caused by their use. Comments on improvements are welcome. BetaDiff:
For calculating confidence intervals and testing the significance of the difference of two beta-coefficients from independent samples
BetaDiff.exe ( description download Center:
SPSS macro for centering a set of variables (with listwise deletion of missing cases); useful for computing products of variables for interaction terms in regression analyses.
Center.sps ( download CorrTot:
For computing pooled means, standard deviations and a pooled correlation matrix from means, standard deviations and correlation matrices of two independent samples
CorrTot.zip (

84. Lenovo Support & Downloads - Driver Matrices
The file matrices contain the most common downloadable files and drivers for your IBM system. Get the latest System Program Service (BIOS), drivers,
http://www-307.ibm.com/pc/support/site.wss/document.do?lndocid=DRVR-MATRIX&sites

85. Bienvenido A La Web De Metransa
Utillajes para m¡quinas curvadoras y m¡quinas herramienta (carriles, carriles de altura, mandrinos, contracarriles y matrices de curvado).
http://www.metransa.com/marcos.html

86. Library Of Hadamard Matrices
For GECP for some of Kimura s Hadamard matrices Gaussian Elimination with Complete Regular Hadamard matrices of order 36 found by Jennifer Seberry
http://www.uow.edu.au/~jennie/hadamard.html
Conjectures Made by Me and Others (Please indicate your claims))
  • The first unresolved case is order 32 for which I suspect there are over 33,000 Inequivalent Hadamard Matrices.
  • There are certainly hundreds and probably thousands of Inequivalent Hadamard matrices for orders 36, 44, 52, .....
  • I conjecture that as the power of two increases (eg 32 is 2^5 while 36 is 2^2x9) the number of inequivalent cases increases dramatically.
  • I conjecture that the number of Inequivalent Hadamard Matrices of order 36 which are regular (ie have constant row and column sum) is over 100. I conjecture that there are tens of Reqular Inequivalent Hadamard Matrices of order 36 which are not equivalent to a symmetric Reqular Hadamard Matrices of order 36.
    Matrices of Order 16
    Marshall Hall's five inequivalent matrices (
    Some Constructions for order 20
    Three inequivalent matrices ( ). The first is Paley I Construction, the second and third are Tonchev iii and 1v.
    Noburo Ito's 60 inequivalent matrices of order 24
    see "Neil Sloane 's Library List".
  • 87. Paper: Linear Codes
    By P. R. J. –sterg¥rd. The following codes with minimum distance greater than or equal to 3 are classified binary codes up to length 14, ternary codes up to length 11, and quaternary codes up to length 10.
    http://www.tcs.hut.fi/~pat/matrices.html
    Classifying subspaces of Hamming spaces
    Designs, Codes and Cryptography The codes classified in the paper can here be obtained electronically. The following codes with minimum distance greater than or equal to 3 are classified: binary codes up to length 14, ternary codes up to length 11, and quaternary codes up to length 10. The parity check matrices of the codes are given, with the identity matrix part omitted. The first three lines of the files contain, respectively, the number of codes, the value of k (the dimension), and the value of r (the codimension). Then the parity check matrices are listed one by one using k rows of length r . To get an r x n parity check matrix, transpose these rows and add the r columns of the identity matrix. For the binary and ternary codes, the field elements are the integers modulo q a a a is a primitive element. An [ n k d ] code is a code with length n , dimension k , and minimum distance at least d . Please note that in the definition of equivalence for quaternary codes, we allow global conjugacy in addition to monomial transformations. (So there are here fewer inequivalent quaternary codes than in other published studies that use only monomial transformations.)
    Binary codes
    [3,1,3]: 1 codes

    88. Weight Matrices For Sequence Similarity Scoring
    Examples of weight matrices for nucleotide and amino acid scoring. Scoring matrices appear in all analysis involving sequence comparison.
    http://www.techfak.uni-bielefeld.de/bcd/Curric/PrwAli/nodeD.html
    Weight Matrices for Sequence Similarity Scoring
    Version 2.0
    May 1996 David Wheeler , Ph.D.
    Department of Cell Biology,
    Baylor College of Medicine
    Houston, Texas
    E-mail: wheeler@bcm.tmc.edu
    Table of Contents
  • Weight matrices for sequence similarity scoring
  • Importance of scoring matrices
  • Examples of matrices
  • Log odds matrices ...
  • Other specialized scoring matrices
    Weight Matrices for Sequence Similarity Scoring
    Outline:
  • Objective: Overview of methods and theories that underlie the construction of scoring matrices.
  • Examples of weight matrices for nucleotide and amino acid scoring.
  • Transition probability matrix: PAM
    • Construction
    • Properties
    • Sources of error
  • BLOSUM matrix
    • Construction
    • Sources of error
  • Practical aspects
  • Other refinements to transition probability matrices.
    Reading:
    • D.G. George, W. C. Barker and L. T. Hunt. (1990). Mutation Data Matrix and Its Uses. in Methods in Enzymology vol 183; R.F. Doolittle, ed. pp. 333-351. Academic Press, Inc. New York.
    • M.O. Dayhoff (1978) Atlas of Protein Sequence and Structure (Natl. Biomed. Res. Found., Washington), Vol. 5, Suppl. 3, pp. 345-352.
    • S.F. Altschul (1991). Amino acid substitution matrices from an information theoretic perspective. J. Mol. Biol. 219 555-565.
  • 89. Unit Triangular Matrices
    Unit Triangular matrices. Some LAPACK routines have an option to handle unit triangular matrices (that is, triangular matrices with diagonal elements = 1).
    http://www.ma.utexas.edu/documentation/lapack/node115.html
    Next: Real Diagonal Elements Up: Matrix Storage Schemes Previous: Tridiagonal and Bidiagonal
    Unit Triangular Matrices
    Some LAPACK routines have an option to handle unit triangular matrices (that is, triangular matrices with diagonal elements = 1). This option is specified by an argument DIAG . If DIAG = 'U' (Unit triangular), the diagonal elements of the matrix need not be stored, and the corresponding array elements are not referenced by the LAPACK routines. The storage scheme for the rest of the matrix (whether conventional, packed or band) remains unchanged, as described in subsections and
    Tue Nov 29 14:03:33 EST 1994

    90. GB XPOINT Video Audio Devices
    Manufacturers of matrices, switchers, distribution amplifiers, video and audio equipment.
    http://www.gbxpoint.it
    Matrici di commutazione V/A - Commutatori V/A - Distributori V/A - Generatori di Logo TV - Generatori di Clock - Converter SDI - Titolatrici
    Video multistandard: Video Composito, Y/C (S-VHS), RGB, Component, SDI - Audio S/M: sbilanciato, bilanciato Schede Tecniche: DP PSD SKxx VDxSDI
    Input: SDI 4:2:2, 270Mb/s(SMPTE259M) equalizzazione automatica e digital reclocker + loop-thru SDI con "cable driver" in uscita.-BNC-
    Outputs: R,G,B o Component Y/U/V o Y/C + CVBS(video composito).
    Settaggio stato uscite tramite dip-switch esterno, regolazione di livello uscita analogica (max 6dB).Filtro anti aliasing su buffer cable driver di uscita. -BNC-
    Risoluzione conversione DAC a 10bit . Testata uscita Loop SDI con WFM-700 (Tektronix) misura un basso jitter a 10Hz divisione risulta 289,4ps(+0,078UI)
    Uscite analogiche:Diff.Gain = 0,4%, Diff.Phase = 0,4%
    Opzionale TPG.

    91. Tridiagonal And Bidiagonal Matrices
    Tridiagonal and Bidiagonal matrices. Next Unit Triangular matrices Up Matrix Storage Schemes Previous Band Storage Contents Index
    http://www.netlib.org/lapack/lug/node125.html
    Next: Unit Triangular Matrices Up: Matrix Storage Schemes Previous: Band Storage Contents Index

    Tridiagonal and Bidiagonal Matrices
    An unsymmetric tridiagonal matrix of order n is stored in three one-dimensional arrays, one of length n containing the diagonal elements, and two of length n containing the subdiagonal and superdiagonal elements in elements n A symmetric tridiagonal or bidiagonal matrix is stored in two one-dimensional arrays, one of length n containing the diagonal elements, and one of length n containing the off-diagonal elements. (EISPACK routines store the off-diagonal elements in elements n of a vector of length n
    Susan Blackford

    92. TreeBASE
    A relational database of phylogenetic trees and the data matrices used to generate them from published research papers. Includes animals, plants, and fungi.
    http://www.treebase.org/treebase/
    TreeBASE is a relational database of phylogenetic information hosted by the University at Buffalo . In previous years the database has been hosted by Harvard University Herbaria Leiden University EEW , and the University of California, Davis . TreeBASE stores phylogenetic trees and the data matrices used to generate them from published research papers. We encourage biologists to submit phylogenetic data that are either published or in press, especially if these data were not fully presented in the publication due to space limitations. TreeBASE accepts all types of phylogenetic data (e.g., trees of species, trees of populations, trees of genes) representing all biotic taxa. For more information, see an introduction to TreeBASE, information on searching, the database schema, and a graphic presentation of the web site's internal structure. Also, check out some ideas on

    93. Unit Triangular Matrices
    Some LAPACK routines have an option to handle unit triangular matrices (that is, triangular matrices with diagonal elements = 1). This option is specified
    http://www.netlib.org/lapack/lug/node126.html
    Next: Real Diagonal Elements of Up: Matrix Storage Schemes Previous: Tridiagonal and Bidiagonal Matrices Contents Index

    Unit Triangular Matrices
    Some LAPACK routines have an option to handle unit triangular matrices (that is, triangular matrices with diagonal elements = 1). This option is specified by an argument DIAG . If DIAG = 'U' (Unit triangular), the diagonal elements of the matrix need not be stored, and the corresponding array elements are not referenced by the LAPACK routines. The storage scheme for the rest of the matrix (whether conventional, packed or band) remains unchanged, as described in subsections and
    Susan Blackford

    94. JACAL
    An interactive symbolic mathematics program. JACAL can manipulate and simplify equations, scalars, vectors, and matrices of single and multiple valued algebraic expressions containing numbers, variables, radicals, and algebraic differential, and holonomic functions. Linux RPM distribution.
    http://swissnet.ai.mit.edu/~jaffer/JACAL.html
    http://swiss.csail.mit.edu/~jaffer/JACAL
    JACAL
    Current Version Released Terms GPL JACAL is an interactive symbolic mathematics program. JACAL can manipulate and simplify equations, scalars, vectors, and matrices of single and multiple valued algebraic expressions containing numbers, variables, radicals, and algebraic differential, and holonomic functions.
    New:
    • jacal.1: Documented jacal script.
    • New operators: wronski, wronskian, degree, and flatten.
    • poly: With single equation argument, convert equation to polynomial
    Quick Start

    95. TICAL - Technology Information Center For Administrative Leadership
    matrices. The matrices. Each resource matrix provides a quick and easy The following matrices provide additional ways to enter our resource database
    http://www.portical.org/matrix.html
    dqmcodebase = "http://www.portical.org/script/" //script folder location
    For Administrators, By Administrators September 16, 2005, 12:58 pm PST
    Quick Fact:
    51.7% of all children ages 3-17 with family incomes of $75,000 or more had Internet access at home, compared with just 15% of those with family incomes of $20,000 to $25,000. Quote:
    The main thing should be our main thing-discovering what the main thing should bethat will take some work.
    Website problems?
    Email the webmaster
    Matrices The Matrices Each resource matrix provides a quick and easy way to find specific types of resources related to various technology leadership topics. In each matrix, the left column contains sub-categories related to the given topic. The columns to the right contain icons that represent different types of resources: publications, models/examples, people/organizations, hardware/software, and vendors. Read down the list of sub-categories, then move across the row and click on the icon for the resource type of your choice. TICAL Key Component Areas: The following matrices provide additional ways to enter our resource database:
    • Use this Matrix to locate resources as they relate to each of the six core areas adopted by ISTE and the TSSA Collaborative.

    96. Arageli
    C++ template library for computations in ARithmetics, Algebra, GEometry, Linear and Integer linear programming. Supports arbitrary length integers, rationals, vectors, matrices.
    http://www.uic.nnov.ru/~zny/arageli/arageli.html
    Arageli
    Arageli is the C++ library and the package of programs for computations in ar ithmetic, a lgebra, ge ometry, l inear and i nteger linear programming. Current version contains the implementation of arbitary precision arithmetic on integer and rational numbers (synonyms: multiple precision arithmetic, multiple precision numbers, arbitrary precision arithmetic, arbitrary precision numbers, big numbers). Some time-critical parts are written in assembler. You can use this assembler code or C++ code instead. If you'd like to use the library you can: If you'd like to use the package you can: If you are interested in Pascal library for arbitary precision arithmetic you can also try my old BP 7.0 unlimited-precision arithmetic package my home page
    File translated from T E X by T T H , version 3.00

    97. Index Of /~ignacy/numpub/blupf90
    SPARSEM is a collection of sparse matrix classes that makes programming with sparse matrices (and large problems) almost as easy as a matrix language. BLUPF90 is a BLUP program written using SPARSEM. REMLF90 is a REML version of BLUPF90 that uses accelerated EM algorithm. Other programs included are dense matrix module DENSEOP, Gibbs sampling program GIBBS90, and several versions of linearthreshold models. By Ignacy Misztal and collaborators.
    http://nce.ads.uga.edu/~ignacy/numpub/blupf90/
    Index of /~ignacy/numpub/blupf90
    Name Last modified Size Description ... COMMCHAR.TXT 02-Nov-1998 08:43 1.4K COMMCHAR.WP6 02-Nov-1998 08:42 3.8K Changes 09-Sep-2005 03:09 16K Readme 14-Jun-2000 11:25 2.7K docs/ 02-Dec-2004 13:54 - linuxbin/ 14-Jul-2005 10:52 - progs/ 20-May-2004 15:18 - winbin/ 10-Feb-2005 14:02 - Apache/2.0.40 Server at nce.ads.uga.edu Port 80

    98. Sparse Matrix Algorithms Research At The University Of Florida
    Send me your matrices.. Modifying a sparse Cholesky factorization (see the tech. report list COLAMD the column approximate minimum degree ordering
    http://www.cise.ufl.edu/research/sparse/
    Sparse Matrix Algorithms Research at the University of Florida
    Tim Davis
    If you're using Windows:
    Many of the files posted on this site are in PostScript. Get GSview to view and print them on a PC. Other files are "tar" archives; Get WinZip to uncompress and un-archive them.
    Research
    • This research is supported by the National Science Foundation
    • NEW: BETA Releases : of CHOLMOD, and updates to AMD, COLAMD, CCOLAMD, and LDL. CHOLMOD is a set of routines for factorizing sparse symmetric positive definite matrices of the form A or AA', updating/downdating a sparse Cholesky factorization, solving linear systems, updating/downdating the solution to the triangular system Lx=b, and many other sparse matrix functions for both symmetric and unsymmetric matrices. Its supernodal Cholesky factorization relies on LAPACK and the Level-3 BLAS, and obtains a substantial fraction of the peak performance of the BLAS. Both real and complex matrices are supported. CHOLMOD is written in ANSI/ISO C, with both C and MATLAB interfaces. This code works on Microsoft Windows and many versions of Unix and Linux. (CHOLMOD is short for CHOLesky MODification, since a key feature of the package is its ability to update/downdate a sparse Cholesky factorization).
    • LDL A concise package for sparse Cholesky factorization (only 53 lines of executable code, yet faster than chol in MATLAB 6.5). In C, with a Matlab interface.

    99. The Hadamard Maximal Determinant Problem
    List of known {1,1}-matrices with largest determinant and D-optimal designs.
    http://www.indiana.edu/~maxdet
    The Hadamard maximal determinant problem
    The Hadamard maximal determinant problem asks when a matrix of a given order with entries -1 and +1 has the largest possible determinant. Despite well over a century of work by mathematicians, beginning with Sylvester's investigations of 1867, the question remains unanswered in general. The table lists current record determinants. Clicking on a determinant will display a maximal matrix or matrices and other relevant information including references to the literature.
    Table of maximal determinants, orders - 39
    Det should be multiplied by 2 N-1 . Refer to key for more information. N Det R N Det R N Det R N Det R The aim of this page is to inspire people to try to improve the above numbers (where possible). If you are aware of better bounds or other constructions, please notify the authors of this page (email: maxdet at indiana dot edu). Likewise, if you feel your work, or somebody else's, is not properly credited, we want to hear from you! For a list of recent changes to these pages, see the update log News:
    • 11 April 2005 This page is undergoing reconstruction.

    100. Matrices
    Two matrices of the same order can be added or subtracted by adding or Will you get the same product if you change the order of the matrices?
    http://www.aspire.cs.uah.edu/textbook/matrices.html
    Matrices
    A matrix is a rectangular arrangement of numbers called elements . A matrix is often referred to by its order , number of rows and columns with the number of rows listed first.
    Addition and Subtraction
    Two matrices of the same order can be added or subtracted by adding or subtracting the corresponding elements. Example Borders Book Store has two branches, one on Juan Tabo and the other on Menaul, with the following inventory:
    Juan Tabo Branch
    Hardcover: textbooks - 3789; fiction - 8204; nonfiction - 4533; reference - 1058
    Paperback: textbooks - 2968; fiction - 9873; nonfiction - 4009; reference - 987
    Menaul
    Hardcover: textbooks - 2345; fiction - 7856; nonfiction - 3567; reference - 986
    Paperback: textbooks - 1875; fiction - 9730; nonfiction - 3425; reference - 8675 Represent each inventory as a matrix and use matrix algebra to determine the total inventory for Borders Book Store. The Juan Tabo Branch generally keeps a larger inventory than the Menaul. In each category, how many more books does the Juan Tabo branch have than the Menaul at the time of this inventory?
    Multiplication by a Scalar
    A matrix can be multiplied by a scalar (a number) by multiplying each element of the matrix by that number.

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