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Selected Papers of T.N.E. Greville
  • Language: en
  • Pages: 388
Generalized Inverses and Applications
  • Language: en
  • Pages: 1069

Generalized Inverses and Applications

  • Type: Book
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  • Published: 2014-05-10
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  • Publisher: Elsevier

Generalized Inverses and Applications, contains the proceedings of an Advanced Seminar on Generalized Inverses and Applications held at the University of Wisconsin-Madison on October 8-10, 1973 under the auspices of the university's Mathematics Research Center. The seminar provided a forum for discussing the basic theory of generalized inverses and their applications to analysis and operator equations. Numerical analysis and approximation methods are considered, along with applications to statistics and econometrics, optimization, system theory, and operations research. Comprised of 14 chapters, this book begins by describing a unified approach to generalized inverses of linear operators, wi...

Generalized Inverses
  • Language: en
  • Pages: 433

Generalized Inverses

This second edition accounts for many major developments in generalized inverses while maintaining the informal and leisurely style of the 1974 first edition. Added material includes a chapter on applications, new exercises, and an appendix on the work of E.H. Moore.

Mathematics for Digital Computers
  • Language: en
  • Pages: 120

Mathematics for Digital Computers

  • Type: Book
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  • Published: 1958
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  • Publisher: Unknown

None

Vital Statistics
  • Language: en
  • Pages: 52

Vital Statistics

  • Type: Book
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  • Published: 1959
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  • Publisher: Unknown

None

Combinatorial Matrix Theory and Generalized Inverses of Matrices
  • Language: en
  • Pages: 283

Combinatorial Matrix Theory and Generalized Inverses of Matrices

This book consists of eighteen articles in the area of `Combinatorial Matrix Theory' and `Generalized Inverses of Matrices'. Original research and expository articles presented in this publication are written by leading Mathematicians and Statisticians working in these areas. The articles contained herein are on the following general topics: `matrices in graph theory', `generalized inverses of matrices', `matrix methods in statistics' and `magic squares'. In the area of matrices and graphs, speci_c topics addressed in this volume include energy of graphs, q-analog, immanants of matrices and graph realization of product of adjacency matrices. Topics in the book from `Matrix Methods in Statist...

The methods and materials of demography
  • Language: en
  • Pages: 568

The methods and materials of demography

  • Type: Book
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  • Published: 1980
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  • Publisher: Unknown

None

Domestic Commerce
  • Language: en
  • Pages: 866

Domestic Commerce

  • Type: Book
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  • Published: 1943
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  • Publisher: Unknown

None

Precursors of Isogeometric Analysis
  • Language: en
  • Pages: 602

Precursors of Isogeometric Analysis

  • Type: Book
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  • Published: 2019-01-01
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  • Publisher: Springer

This self-contained book addresses the three most popular computational methods in CAE (finite elements, boundary elements, collocation methods) in a unified way, bridging the gap between CAD and CAE. It includes applications to a broad spectrum of engineering (benchmark) application problems, such as elasto-statics/dynamics and potential problems (thermal, acoustics, electrostatics). It also provides a large number of test cases, with full documentation of original sources, making it a valuable resource for any student or researcher in FEA-related areas. The book, which assumes readers have a basic knowledge of FEA, can be used as additional reading for engineering courses as well as for other interdepartmental MSc courses.

Matrix Computations and Semiseparable Matrices
  • Language: en
  • Pages: 594

Matrix Computations and Semiseparable Matrices

  • Type: Book
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  • Published: 2008-01-14
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  • Publisher: JHU Press

In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms. In this new reference work, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi present the first comprehensive overview of the mathematical and numerical properties of the family's newest member: semiseparable matrices. The text is divided into three parts. The first provides some historical background and introduces concepts and definitions concerning structured rank matrices. The second offers some traditional methods for solving systems of equations involving the basic subclasses of these matrices. The third section discusses structured rank matrices in a broader context, presents algorithms for solving higher-order structured rank matrices, and examines hybrid variants such as block quasiseparable matrices. An accessible case study clearly demonstrates the general topic of each new concept discussed. Many of the routines featured are implemented in Matlab and can be downloaded from the Web for further exploration.