1. Matrices: A Lesbian And Lesbian Feminist Research And Network Newsletter matrices A Lesbian and Lesbian Feminist Research and Network Newsletter is a nonprofit endeavor to You'll find matrices to be an invaluable tool for lesbian scholarship and http://www.lesbian.org/matrices

A Lesbian and Lesbian Feminist Research and Network Newsletter Matrices: A Lesbian and Lesbian Feminist Research and Network Newsletter is a non-profit endeavor to increase communication and networking among those interested in lesbian scholarship. You'll find Matrices to be an invaluable tool for lesbian scholarship and research, so subscribe today! Matrices is a project of the Center for Advanced Feminist Studies at the University of Minnesota, edited by professor of Women's Studies, Jacquelyn Zita and the rest of the Matrices staff Each issue includes: Special features including interviews with lesbian scholars Current bibliographies on lesbian topics Book reviews Dissertation abstracts Calls for papers Conference announcements Reports from lesbian research centers News and information from lesbian cyberspace Table of Contents and Sample Articles from Recent Issues: Spring 1996: Lesbian Studies Issue Winter 1996: Lesbian Sexualities Issue Spring 1995: Lesbian Philosophy Issue Subscription information Send requests for further information to matrices@gold.tc.umn.edu

2. AMS Online Books/Letters On Matrices/COLL17 Lectures on matrices. by J. H. M. Wedderburn. Publication Date 1934. Number of Pages 205pp. Publisher AMS. ISBN08218-3204-2. COLL17.E. Frontmatter. Title. Preface. Contents. Corrigenda. matrices http://www.ams.org/online_bks/coll17

Title List Help AMS Home AMS Bookstore Lectures on Matrices by J. H. M. Wedderburn Publication Date: 1934 Number of Pages: 205pp. Publisher: AMS ISBN:0-8218-3204-2 COLL17.E Download Individual Chapters FREE (12 files - 13mb) Frontmatter Title Preface Contents Corrigenda Matrices and Vectors Algebraic Operations with Matrices. The Characteristic Equation Invariant Factors and Elementary Divisors Vector Polynomials. Singular Matric Polynomials ... Endmatter Appendix I Notes Appendix II Bibliography Index to Bibliography Index Comments: webmaster@ams.org Privacy Statement Search the AMS

3. Homogeneous Transformation Matrices Explicit ndimensional homogeneous matrices for projection, dilation, reflection, shear, strain, rotation and other familiar transformations. http://www.silcom.com/~barnowl/HTransf.htm

HOMOGENEOUS TRANSFORMATION MATRICES Daniel W. VanArsdale Vector (nonhomogeneous) methods are still being recommended to effect rotations and other linear transformations. Homogeneous matrices have the following advantages: simple explicit expressions exist for many familiar transformations including rotation these expressions are n-dimensional there is no need for auxiliary transformations, as in vector methods for rotation more general transformations can be represented (e.g. projections, translations) directions (ideal points) can be used as parameters of the transformation, or as inputs if matrix T transforms point P by PT, then hyperplane h is transformed by T h duality between points and hyperplanes applies to matters of incidence and invariant flats. The expressions below use reduction to echelon form and Gram-Schmidt orthonormalization, both with slight modifications. They can be easily coded in any higher level language so that the same procedures generate transformations for any dimension. This article is at an undergraduate level, but the reader should have had some exposure to linear algebra and analytic projective geometry. This material is based on: Daniel VanArsdale, Homogeneous Transformation Matrices for Computer Graphics, , vol. 18, no. 2, pp. 177-191, 1994. Some

4. Matrices matrices. Introduction matrices are extremely handy for writing fast 3D programs. As you ll see they are just a 4x4 http://www.geocities.com/SiliconValley/2151/matrices.html

Matrices Introduction Matrices are extremely handy for writing fast 3D programs. As you'll see they are just a 4x4 list of numbers, but they do have 2 very important properties: 1) They can be used to efficiently keep track of transformations, ie actions which occur in a VR program such as movement, rotation, zoom in/out etc. 2) A single matrix can represent an infinate number of these transformations in any combination. Let's say the user in your program walks forward, turns left, looks up, backs up a bit etc... All you need to do is keep a copy of a master matrix in memory and adjust it as the user does these things. At any point you then use this one matrix to figure out where everything in your virtual world should be drawn on the screen. A tranformation is simply a way of taking a set of points and modifying them in some way to get a new set of points. For example, if the user moves 10 units forward in a certain direction then the net result is the same as if all objects in the world moved 10 units in the opposite direction. A Point in Space Modifying the Position of a Point the point Compare this to the artical on basic 3D math and you'll see that we are in fact taking the dot product of the two vectors. What we do above is mutiply each top item by the item under it and add the results up to get the answer.

5. Science News Online - Ivars Peterson's MathLand - 6/14/97 Ivars. June 14, 1997. Contra Dancing and matrices. In terms of matrices, the final configuration has the two rows of the original 2 x 2 matrix interchanged. http://www.sciencenews.org/sn_arc97/6_14_97/mathland.htm

June 14, 1997 Contra Dancing and Matrices Bernie Scanlon, a mathematics instructor at Bakersfield College in California, has been dancing nearly every weekend since 1990, even traveling to distant parts of the country to join in the fun. His passion is contra dancing a dance form unknown to most people yet practiced with great devotion and abandon throughout the United States, from New England to California. What’s striking, says Scanlon, is that a remarkably high percentage of its practitioners are highly educated, often involved in mathematics, computers, or engineering. "The appeal seems to lie in its being a kind of ‘set dancing,’ where one’s position relative to others while tracing patterns on the dance floor is paramount," he says. "Timing is also crucial, as is the ability to rapidly carry out called instructions and do fraction math on the fly." Scanlon introduced both the mathematical and performance sides of contra dancing to attendees earlier this year at the 2nd Annual Recreational Mathematics Conference (see Fun and Games in Nevada). The music for contra dancing is highly structured. Everything occurs in units of four. The band plays a tune for 16 beats, repeats the tune, then plays a new tune for 16 beats and repeats that. An eight-beat section is known as a call, during which each block of four dancers executes a called-out instruction. An entire dance is precisely 64 beats long.

6. QuickMath Automatic Math Solutions QuickMath allows students to get instant solutions to all kinds of math problems, from algebra and equation solving right through to calculus and matrices. http://www.quickmath.com/www02/pages/modules/matrices/index.shtml

Algebra Expand Factor Simplify ... Determinant Graphs Equations Inequalities Numbers Percentages Scientific notation Please support QuickMath by making a donation using (click the button on the right) or by check . Thankyou! Matrices The matrices section of QuickMath allows you to perform arithmetic operations on matrices. Currently you can add or subtract matrices, multiply two matrices, multiply a matrix by a scalar and raise a matrix to any power. What is a matrix? A matrix is a rectangular array of elements (usually called scalars), which are set out in rows and columns. They have many uses in mathematics, including the transformation of coordinates and the solution of linear systems of equations. Here is an example of a 2x3 matrix : Arithmetic The arithmetic suite of commands allows you to add or subtract matrices, carry out matrix multiplication and scalar multiplication and raise a matrix to any power. Matrices are added to and subtracted from one another element by element. For instance, when adding two matrices A and B, the element at row i, column j of A is added to the element at row i, column j of B to give the element at row i, column j of the answer. Consequently, you can only add and subtract matrices which are the same size. Matrix muliplication is a little more complicated. Suppose two matrices A and B are multiplied together to get a third matrix C. The element at row i, column j in C is found by taking row i from A and multiplying it by column j from B. Two matrices can only be multiplied together if the number of columns in the first equals the number of rows in the second.

7. Hadamard Matrices A library of Hadamard matrices maintained by N. J. A. Sloane. http://www.research.att.com/~njas/hadamard/

A Library of Hadamard Matrices N. J. A. Sloane Keywords : Hadamard matrices, Kimura matrices Paley matrices, Plackett-Burman designs, Sylvester matrices, Turyn construction, Williamson construction Contains all Hadamard matrices of orders n up through 28, and at least one of every order n up through 256. This library is maintained by N. J. A. Sloane njas@research.att.com Notation: had.n.name indicates a Hadamard matrix of order n and type "name". The matrices are usually given as n rows each containing n +'s and -'s (with no spaces). In many cases there are further rows giving the name of the matrix and the order of its automorphism group. What the suffixes mean: od = orthogonal design construction method pal = first Paley type pal2 = second Paley type syl = Sylvester type tur = Turyn type tx = tensor product of type x with ++/+- or (rarely) with a Hadamard matrix of order 4 will = Williamson type References: Seberry, J. and Yamada, M., Hadamard matrices, sequences, and block designs , pp. 431-560 of Dinitz, J. H. and Stinson, D. R., editors (1992), Contemporary Design Theory: A Collection of Essays, Wiley, New York. Chapter 7 of Orthogonal Arrays by Hedayat, Sloane and Stufken.

8. Matrices Worksheets, Determinants, Cramer's Rule, And More. Also Visit Algebra Worksheets. Addition of matrices. Subtraction of matrices. Multiply a Matrix by One Number. Addition and Subtraction. Addition, Subtraction, and Multiplication http://www.edhelper.com/Matrices.htm

Return to edHelper.com Matrices Worksheets Also Visit: Algebra Worksheets Matrices Worksheets Addition of Matrices Subtraction of Matrices Multiply a Matrix by One Number Addition and Subtraction ... Final Review of Matrices

9. Cálculos Con Matrices Translate this page Breve tutorial sobre cálculo matricial con numerosos ejemplos y un apartado para el cálculo interactivo. http://thales.cica.es/rd/Recursos/rd99/ed99-0289-02/ed99-0289-02.html

10. ThinkQuest : Library : Seeing Is Believing Linear Algebra. matrices. Solving Systems using matrices A matrix is an array of numbers arranged in rows and columns. ex. This is a 2 by 3 matrix, meaning there are 2 rows and 3 columns For any http://library.thinkquest.org/10030/10matice.htm

Index Education Seeing is Believing Need a primer on math, science, technology, education, or art, or just looking for a new Internet search engine? This catch-all site covers them all. Maybe you're doing your homework and need to quickly look up a basic term? Here you'll find a brief yet concise reference source for all these topics. And if you're still not sure what's here, use the search feature to scan the entire site for your topic. Visit Site 1997 ThinkQuest Internet Challenge Languages English Students Peter Oakhill College, Castle Hill, Sydney, Australia Suranthe H Oakhill College, Sydney, Australia Coaches Tina Oakhill College, Castle Hill, Sydney, Australia Tina Oakhill College, Castle Hill, Sydney, Australia Want to build a ThinkQuest site? The ThinkQuest site above is one of thousands of educational web sites built by students from around the world. Click here to learn how you can build a ThinkQuest site. Privacy Policy

11. Matrices Liberty 自作の短編小説、エッセイ、詩、日記。 http://sapporo.cool.ne.jp/kourick/

ƒŠƒ“ƒN ƒAƒ“ƒeƒi ŠÖ˜AƒTƒCƒg u¬¶‚É‚¤‚¸v u—¤’T‹v –l‚Ɣޏ—‚Ɛԉ¹ u–µ‚‚ÌàÛàèv u—[—z‚Ì‘®«v u–lv uŠïÕ“I‚É‹H—L‚È’©v ... u—΂̕—‚Æ‚Ï‚½‚Ï‚½‚̘rv ƒŠƒfƒ‹ uLiddell in Strangeworldv u‚e‚e“X‚É‚¤‚Á‚¯‚̘b‘èv u‚¨‚͂悤‚Ì‚Æ‚«v –l u‚»‚µ‚āA‚È‚É‚à‚È‚­‚È‚Á‚½v ƒVƒE u–é‚Æ—¿—‚Æ”÷Î‚݂Ɓv uHê‚ÌŒ©‰º‚낹‚鍂‘ä‚ɂāv uÄ‰ï‚Ì‚È‚©‚É‚ ‚é‚à‚́v ‚Ì‚±‚¬‚菭”N u‚Ì‚±‚¬‚菭”N‚Ì–é‘z‹Èv u‚É‚í‚Æ‚èv u–]‚Ü‚´‚é“d˜bA‰Ô”¨‚ɂāv u‰©¨‚̍“‹v ... uŽ€‚È‚È‚¢‚©‚à‚µ‚ê‚È‚¢’jv ˜ZÎ uŠÏ——ŽÔ‚Ì”EŽÒv u•ÖŠ‚Ì•Žmv u‚ [‚¿‚á‚ñAŠÖŽæ‚Ɛ키v u‚ä‚Á‚­‚è‚Æ‚³‚¦‚¬‚év ... u‘–‚é‹av ŽlÎ u‹³Žö‚ÌŠy‚µ‚¢ƒ`ƒ‡[ƒNv ŽOÎ uŽ‚¿‚AŽ‚½‚ꂁv u•à‚«‚½‚¢A‚Ä‚éA‚¯‚È‚¢v uÎ‚¤—‚Ì“Gv u‚í‚©‚ç‚È‚¢–â‘èv ... uŒäwŠy‰Æ“`v Thanks RBML*S “o˜^ Need BGM? 2004.06.05@u¶–½‚Ì‹óŠÔioverflow/12jv @Â”’‚¢ƒƒ“ƒs[ƒX‚ªƒhƒA‚ÌŒ„ŠÔ‚©‚猩‚¦‚½B @—‡‘«‚̉E‘«‚ª‚·‚Á‚ƐL‚Ñ‚é‚ƁA’ƒF‚̃J[ƒfƒBƒKƒ“‚ª‚Ó‚ç‚Á‚Æ—h‚ê‚ÄŒ»‚ꂽB @‚»‚Ì“r’[A•”‰®‚ɉQŠª‚¢‚Ä‚¢‚½—zŒõ‚́A‹z‚¢ž‚Ü‚ê‚é‚悤‚ɃhƒA‚ÌŠO‘¤‚É—¬‚ê‚à ‚½B u‚²‚«‚°‚ñ‚悤v @Ô‰¹‚Í•”‰®‚É“ü‚èAƒhƒA‚ð•Â‚ß‚é‚ƁA‚»‚¤Œ¾‚Á‚½B @–l‚Ɣޏ—‚Í3•b‚Ù‚Ç–Ù‚èAl‚¦‚ð‚Ü‚Æ‚ß‚é‚Ɛº‚ð‡‚í‚¹‚Đԉ¹‚ÉŒ¾‚Á‚½B u‚¨‚͂悤v @Ô‰¹‚͏­‚µ‚¾‚¯Žñ‚ðŒX‚°A­‚µŒo‚Á‚āAŒûŒ³‚ɏ΂݂𕂂©‚΂¹‚½B @–l‚Ɣޏ—‚àA‚»‚ê‚ðŒ©‚Ä”÷Î‚ñ‚¾B u‚Ç‚¤‚µ‚Ä‚±‚±‚¾‚Á‚Ä‚í‚©‚Á‚½Hv @”ޏ—‚ªq‚Ë‚éB uŽ„‚¾‚Á‚½‚çA‚±‚±‚ɘA‚ê‚Ä—ˆ‚é‚È‚Á‚ÄŽv‚Á‚½‚¾‚¯v u‚¢‚«‚Ȃ肱‚±‚É—ˆ‚½‚́Hv u‚¤‚ñv uŽ„‚Ì•”‰®‚É‚æ‚Á‚½‚è‚́Hv u‚µ‚Ä‚È‚¢v u‚È‚ºHv u‚Ç‚±‚É‚ ‚é‚Ì‚©’m‚ç‚È‚¢‚à‚́v u‚¤‚ñv u‚¤‚í‚ A‹ƒ‚«‚»‚¤v u‚à ‚àA’m‚Á‚Ä‚Ä‚às‚©‚È‚©‚Á‚½‚æv u‚È‚ñ‚à Hv u‚¾‚Á‚āA”Þ‚Ì•”‰®‚É—ˆ‚½‚Ì‚¾‚Á‚āA‚¨•Ô‚µ‚Á‚Ä‚±‚Æ‚à ‚µ‚傤Hv

12. MATRIX04 - The 13th International Workshop On Matrieces And Statistics The 13th International Workshop on matrices and Statistics. Bªdlewo, Poland; 1821 August 2004. http://matrix04.amu.edu.pl/

Welcome The 13th International Workshop on Matrices and Statistics (IWMS-2004) will be held in Bêdlewo, about 30 km south of Poznañ, Poland, from 18th by 21st August 2004. Bêdlewo is the Mathematical Research and Conference Center of the Polish Academy of Sciences; the setting is similar to Oberwolfach, with accommodation on site. For further information about this place please visit the Web site www.impan.gov.pl/Bedlewo/ Poznañ is one of the oldest cities and the greatest academic centers in Poland. It has over half million inhabitants and it is located about 300 km west of Warsaw. There is an airport which offers a number of international connections. Nokia Lecturer at the IWMS-2004 The organizers of the Bêdlewo Matrix Workshop are very pleased to announce that the Finnish-based company Nokia will sponsor the Workshop, in a form of the Nokia Lectureship Program for IWMS-2004.

13. INI Programme Isaac Newton Institute, Cambridge, UK; 1821 May 2004. http://www.newton.cam.ac.uk/programmes/RMA/rmaw03.html

An Isaac Newton Institute Workshop Satellite workshop on Random Matrices and Probability 18 - 21 May 2004 Organisers F Mezzadri ( Bristol ), N O'Connell ( Warwick ) and NC Snaith ( Bristol Supported by The London Mathematical Society (LMS) in association with the Newton Institute programme entitled Random Matrix Approaches in Number Theory Theme of Conference: Random Matrix theory was first developed in the 1950s by Wigner, Dyson and Metha to describe the spectra of highly excited nuclei. Since then it has found application in many branches of Mathematics and Physics, from quantum field theory to condensed matter physics, quantum chaos, operator algebra, number theory and statistical mechanics. This workshop will focus on those aspects of random matrix theory that find application in probability. Specific themes will include: a) Brownian motion and the Riemann zeta function; b) Eigenvalues of non-Hermitian random matrices; c) Universality, sparse random matrices, transition matrices and stochastic unitary matrices; d) Matrix-valued diffusion, Brownian motion on symmetric spaces; e) Intertwining relationships in random matrix theory and quantum Markov processes. Confirmed participants D. Applebaum (

14. Matrix Market A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services. http://math.nist.gov/MatrixMarket/

A visual repository of test data for use in comparative studies of algorithms for numerical linear algebra, featuring nearly 500 sparse matrices from a variety of applications, as well as matrix generation tools and services. Browse by collection by matrix name by generator name the top ten Interactive Generation via Java (the Deli) via a form (Lapack) Documentation File Formats File Compression Matrix Structure Plots Matrix Cityplots ... Spectral Portraits Search by matrix properties by application area by contributor in bibliography Software Matrix Market I/O: ... in C Fortran Matlab Harwell-Boeing I/O: ... in C Fortran Matlab Other Resources Bibliography Glossary Related sites Background Welcome What's New What's Coming Credits Sponsors NIST ITL TEMSS MCSD ... DARPA Contact Us matrixmarket nist.gov Submit Matrices This Web service is mirrored in Japan by the PHASE project of the Japanese National Institute of Advanced Industrial Science and Technology The Matrix Market is a service of the Mathematical and Computational Sciences Division of the Information Technology Laboratory of the National Institute of Standards and Technology . Development Status: Minimal Maintenance . Certain commercial products are cited within these Web pages in order to document the Matrix Market and its repository contents. Mention of such products does not imply recommendation or endorsement by NIST, nor does it imply that these products are the best suited to the purpose. We conform to the

15. Matrices And Determinants matrices and determinants. It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. http://www-gap.dcs.st-and.ac.uk/~history/HistTopics/Matrices_and_determinants.ht

Matrices and determinants Algebra index History Topics Index The beginnings of matrices and determinants goes back to the second century BC although traces can be seen back to the fourth century BC. However it was not until near the end of the 17 th Century that the ideas reappeared and development really got underway. It is not surprising that the beginnings of matrices and determinants should arise through the study of systems of linear equations. The Babylonians studied problems which lead to simultaneous linear equations and some of these are preserved in clay tablets which survive. For example a tablet dating from around 300 BC contains the following problem:- There are two fields whose total area is square yards. One produces grain at the rate of of a bushel per square yard while the other produces grain at the rate of a bushel per square yard. If the total yield is bushels, what is the size of each field. The Chinese, between 200 BC and 100 BC, came much closer to matrices than the Babylonians. Indeed it is fair to say that the text Nine Chapters on the Mathematical Art written during the Han Dynasty gives the first known example of matrix methods. First a problem is set up which is similar to the Babylonian example given above:-

16. Linear Algebra -- From MathWorld Offers elementary definitions in general linear algebra, matrices and determinants. http://mathworld.wolfram.com/topics/LinearAlgebra.html

INDEX Algebra Applied Mathematics Calculus and Analysis Discrete Mathematics ... Alphabetical Index ABOUT THIS SITE About MathWorld About the Author DESTINATIONS What's New MathWorld Headline News Random Entry ... Live 3D Graphics CONTACT Email Comments Contribute! Sign the Guestbook MATHWORLD - IN PRINT Order book from Amazon Algebra Linear Algebra Determinants General Linear Algebra Lie Theory@ Linear Independence ... Permanents

17. 18.06 Linear Algebra Videos Fall 1999 Offers online video lectures for MIT's Linear Algebra course. Topics include geometric properties, using matrices, permutations, pivot variables, subspaces, Cramer's Rule, and Eigenvalues. http://web.mit.edu/18.06/www/Video/video-fall-99.html

Professor Strang's Linear Algebra Class Lecture Videos Welcome to the Videotaped Lectures webpage for MIT's Course 18.06: Linear Algebra. Standard Athena workstation configurations will allow you to view the 18.06 lecture videos. If you wish to access the videos from a Mac or PC, you should download the RealPlayer. You do not need the Plus Version of the RealPlayer - the free RealPlayer will work fine. There is also an indexed version of these videos to allow you to go directly to specific topics within the lectures. Click here for the indexed Digital Lecture Project Lecture #1: The Geometry of Linear Equations ( Lecture #19: Determinant Formulas and Cofactors ( Lecture #2: Elimination with Matrices ( Lecture #20: Cramer's Rule, Inverse Matrix, and Volume ( Lecture #3: Multiplication and Inverse Matrices ( Lecture #21: Eigenvalues and Eigenvectors ( Lecture #4: Factorization into A = LU ( Lecture #22: Diagonalization and Powers of A ( Lecture #5: Transposes, Permutations, Spaces R^n ( Lecture #23: Differential Equations and exp(At) ( Lecture #6: Column Space and Nullspace ( Lecture #24 : Markov Matrices; Fourier Series (

18. Magma Computational Algebra System Home Page Comprehensive system for algebra, number theory and geometry. Can work with polynomials, matrices, groups, rings, fields, modules, lattices, algebras, graphs, codes, and curves. http://www.maths.usyd.edu.au:8000/u/magma/

The Magma Computational Algebra System for Algebra, Number Theory and Geometry Magma is a large, well-supported software package designed to solve computationally hard problems in algebra, number theory, geometry and combinatorics. It provides a mathematically rigorous environment for computing with algebraic, number-theoretic, combinatoric and geometric objects. Recent Notices: May 31, 2004: Magma version V2.11 has now been released. Registered users may now download V2.11 for Mac (OS X), PC (Linux) and Sparc (Solaris) from here here for example timings. About Magma What's New Magma on-line help FAQ ... Online Magma Calculator (external link) Magma is produced and distributed by the Computational Algebra Group within the School of Mathematics and Statistics of the University of Sydney.

19. Matrices.net Welcome to www.matrices.net! My name is Sara Howard http//www.livejournal.com/users/ matrices/443172.html. There is a Gold fox bodysuit for sale on FurBID http//www http://www.matrices.net/

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 what I consider my artwork (including drawings, costuming and things like that). "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! people have visited this site since July 21st 2001. Woo!! I updated: New page up, finally! Clothing a gallery of clothing I made! Classes have started. Here is my class schedule: Class Days Time Human Sexuality/Art Appreciation M W Th 9:30 AM - 12:30 PM. Life Drawing M W 2:00 PM - 4:30 PM. Swimming T Th 7:30 PM - 8:30 PM. "Work" M W Th 12:30 PM - 2:00 PM. Some quick links. Be sure to check my VCL archive and my FurBID auctions often. I sell and upload stuff pretty regularly. My FurNation site My VCL Archive My FurBID auctions © Sara Howard, 2004. (

20. Peter Benner - Software SLICOT Subroutine Library in Control Theory, Parallel Library in Control (PLiC) for largescale time-invariant linear control systems in state-space form on parallel distributed computers, eigenvalues of Hamiltonian matrices, subroutines for compressing a symmetric or triangular matrix to packed storage mode or to unpack a packed array to full storage mode, benchmark examples of discrete-time algebraic Riccati equations, benchmark examples of continuous-time algebraic Riccati equations. http://www.math.uni-bremen.de/~benner/software.html

Peter Benner - Software The software retrievable from this page is usually archived in tar files that are compressed with gzip . If you have any problems downloading or uncompressing the files, please click here Fortran 77 MATLAB Fortran 77 SLICOT The Subroutine Library in Control Theory (SLICOT) is developed and maintained by the Working Group on Software (WGS) and is currently further extended within the EU funded thematic network NICONET (Numerics In COntrol NETwork). Click here to see a list of all its members. SLICOT provides Fortran 77 implementations of numerical algorithms for computations in systems and control theory. Based on numerical linear algebra routines from the BLAS and LAPACK libraries, SLICOT provides methods for the design and analysis of control systems. At present, SLICOT contains 175 user-callable subroutines and 80 low-level subroutines. SLICOT is organized in the following chapters: A : Analysis Routines B : Benchmark and Test Problems C : Adaptive Control D : Data Analysis ... U : Utility Routines The documentation of SLICOT is available on-line. It contains complete descriptions of each available subroutine. To see a sample documentation of a routine (AB01MD.f), click

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