The Domain-Matrix
The Domain-Matrix

Author: Sue-Ellen Case

Publisher: Indiana University Press

Published: 1997-02-22

Total Pages: 267

ISBN-13: 0253116317

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"This book demonstrates Case's continued dominance of the field of lesbian performance studies. . . . Case's dense, rich, and complex work very likely will be a central text for anyone interested in debating the changing theoretical landscape for performance studies and queer theory. All readers interested in what the future might hold for scholarship in the humanities should study Case's thought-provoking work, which is an essential addition to any college or university's collection." —Choice ". . . this is a book that is enormously provocative, that will make you think and feel connected with the latest speculation on the implications of the electronic age we inhabit." —Lesbian Review of Books ". . . definitely required reading for any future-thinking lesbian." —Lambda Book Report The Domain-Matrix is about the passage from print culture to electronic screen culture and how this passage affects the reader or computer user. Sections are organized to emulate, in a printed book, the reader's experience of computer windows. Case traces the portrait of virtual identities within queer and lesbian critical practice and virtual technologies.

Black Feminist Thought
Black Feminist Thought

Author: Patricia Hill Collins

Publisher: Routledge

Published: 2002-06-01

Total Pages: 353

ISBN-13: 1135960135

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In spite of the double burden of racial and gender discrimination, African-American women have developed a rich intellectual tradition that is not widely known. In Black Feminist Thought, Patricia Hill Collins explores the words and ideas of Black feminist intellectuals as well as those African-American women outside academe. She provides an interpretive framework for the work of such prominent Black feminist thinkers as Angela Davis, bell hooks, Alice Walker, and Audre Lorde. The result is a superbly crafted book that provides the first synthetic overview of Black feminist thought.

Coding the Matrix
Coding the Matrix

Author: Philip N. Klein

Publisher:

Published: 2013-07

Total Pages: 530

ISBN-13: 9780615856735

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An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by "doing," writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant "xkcd" comics. Chapters: "The Function," "The Field," "The Vector," "The Vector Space," "The Matrix," "The Basis," "Dimension," "Gaussian Elimination," "The Inner Product," "Special Bases," "The Singular Value Decomposition," "The Eigenvector," "The Linear Program" A new edition of this text, incorporating corrections and an expanded index, has been issued as of September 4, 2013, and will soon be available on Amazon.

Matrix Methods: Theory, Algorithms And Applications - Dedicated To The Memory Of Gene Golub
Matrix Methods: Theory, Algorithms And Applications - Dedicated To The Memory Of Gene Golub

Author: Vadim Olshevsky

Publisher: World Scientific

Published: 2010-04-05

Total Pages: 604

ISBN-13: 9814469556

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Compared to other books devoted to matrices, this volume is unique in covering the whole of a triptych consisting of algebraic theory, algorithmic problems and numerical applications, all united by the essential use and urge for development of matrix methods. This was the spirit of the 2nd International Conference on Matrix Methods and Operator Equations from 23-27 July 2007 in Moscow that was organized by Dario Bini, Gene Golub, Alexander Guterman, Vadim Olshevsky, Stefano Serra-Capizzano, Gilbert Strang and Eugene Tyrtyshnikov.Matrix methods provide the key to many problems in pure and applied mathematics. However, linear algebra theory, numerical algorithms and matrices in FEM/BEM applications usually live as if in three separate worlds. In this volume, maybe for the first time ever, they are compiled together as one entity as it was at the Moscow meeting, where the algebraic part was impersonated by Hans Schneider, algorithms by Gene Golub, and applications by Guri Marchuk. All topics intervened in plenary sessions are specially categorized into three sections of this volume.The soul of the meeting was Gene Golub, who rendered a charming “Golub's dimension” to the three main axes of the conference topics. This volume is dedicated in gratitude to his memory.

Operators Between Sequence Spaces and Applications
Operators Between Sequence Spaces and Applications

Author: Bruno de Malafosse

Publisher: Springer Nature

Published: 2021-01-19

Total Pages: 379

ISBN-13: 9811597421

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This book presents modern methods in functional analysis and operator theory along with their applications in recent research. The book also deals with the solvability of infinite systems of linear equations in various sequence spaces. It uses the classical sequence spaces, generalized Cesaro and difference operators to obtain calculations and simplifications of complicated spaces involving these operators. In order to make it self-contained, comprehensive and of interest to a larger mathematical community, the authors have presented necessary concepts with results for advanced research topics. This book is intended for graduate and postgraduate students, teachers and researchers as a basis for further research, advanced lectures and seminars.

Elements of Matrix Modeling and Computing with MATLAB
Elements of Matrix Modeling and Computing with MATLAB

Author: Robert E. White

Publisher: CRC Press

Published: 2006-09-12

Total Pages: 426

ISBN-13: 1584886277

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As discrete models and computing have become more common, there is a need to study matrix computation and numerical linear algebra. Encompassing a diverse mathematical core, Elements of Matrix Modeling and Computing with MATLAB examines a variety of applications and their modeling processes, showing you how to develop matrix models and solve algebraic systems. Emphasizing practical skills, it creates a bridge from problems with two and three variables to more realistic problems that have additional variables. Elements of Matrix Modeling and Computing with MATLAB focuses on seven basic applications: circuits, trusses, mixing tanks, heat conduction, data modeling, motion of a mass, and image filters. These applications are developed from very simple to more complex models. To explain the processes, the book explores numerous topics in linear algebra, including complex numbers and functions, matrices, algebraic systems, curve fitting, elements of linear differential equations, transform methods, and tools of computation. For example, the author uses linearly independent vectors and subspaces to explain over- and under-determined systems, eigenvalues and eigenvectors to solve initial value problems, and discrete Fourier transforms to perform image filtering in the frequency domain. Although the primary focus is to cultivate calculation skills by hand, most chapters also include MATLAB to help with more complicated calculations.

Matrix-Based Multigrid
Matrix-Based Multigrid

Author: Yair Shapira

Publisher: Springer Science & Business Media

Published: 2003

Total Pages: 242

ISBN-13: 9781402074851

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This is an introduction to and analysis of the multigrid approach for the numerical solution of large sparse linear systems arising from the discretization of elliptic partial differential equations. It gives special attention to the powerful matrix-based-multigrid approach, which is particularly useful for problems with variable coefficients and nonsymmetric and indefinite problems. grids but also to more realistic applications with complicated grids and domains and discontinuous coefficients. The dessication draws connections between multigrid and other iterative methods such as domain decomposition. The theoretical background provides insight about the nature of multigrid algorithms and how and why they work. The theory is written in simple algebraic terms, and therefore, requires preliminary knowledge only to basic linear algebra and calculus.

Attribute-Domain Matrix
Attribute-Domain Matrix

Author: Claudia Hentschel

Publisher:

Published: 2009

Total Pages: 0

ISBN-13:

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An innovative idea is a beautiful thing, but most innovative ideas do not become successful new products. For products that are successful, there is a variety of examples over more than 150 years of situations where customers used them in ways never planned by the designer. Only few companies are systematically exploiting non-conventional use as a method to generate ideas for new product outcomes and problem solutions. TRIZ awareness of analogies systematizes the search for available alternate situations: the attribute-domain matrix actively transfers product attributes to unexpected application domains, breaks the functional fixedness pattern and helps make aware the resources that are available in any product or system.

Domain Decomposition Methods in Science and Engineering XXV
Domain Decomposition Methods in Science and Engineering XXV

Author: Ronald Haynes

Publisher: Springer Nature

Published: 2020-10-24

Total Pages: 508

ISBN-13: 3030567508

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These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018. Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems. The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.