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Matrices and Matroids for Systems Analysis

convenient mathematical tool for systems analysis, compatible with the physical observation that fixed constants and system parameters are to be;

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Matroid Decomposition

polynomial testing algorithms. Representative applications and, except for the almost-regular case, characterizations in terms of excluded minors are;

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Linear Multivariable Control

Details the basic theory of polynomial and fractional representation methods for algebraic analysis and synthesis of linear multivariable;

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Pattern Recognition on Oriented Matroids

, and number theory that constitute a far-reaching extension of the arsenal of committee methods in pattern recognition. The groundwork for the;

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Pseudo-Matroids & Cuts of Matroids

generated by mappings of matroids, G-mappings of binary matroids and semi-matroids are introduced. Some results on general matroid theory and an;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Matrix Algebra

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work;

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Computational Oriented Matroids

oriented matroid, and handling them requires computational support, best realised through a functional language. Haskell is used here, and, for the;

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Encyclopedia of Mathematics and its Applications

The theory of matroids is unique in the extent to which it connects such disparate branches of combinatorial theory and algebra as graph;

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Toeplitz Matrices, Convolution Operators, and Integral Equations

matrix theory, Fredholm theory and numerical analysis for singular integral equations, and efficient algorithms for linear systems with;

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Observability and Controllability of General Linear Systems

matrices, on polynomial matrices, on matrix polynomials, on rational matrices, and on the new compact, simple and elegant calculus that enabled the;

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Formalization of Complex Analysis and Matrix Theory

principles of complex analysis and matrix theory, as well as building blocks for the formalization of more involved mathematical theories.;

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Formalization of Complex Analysis and Matrix Theory

principles of complex analysis and matrix theory, as well as building blocks for the formalization of more involved mathematical theories.;

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Rational Function Systems And Electrical Networks With Multi-parameters

To overcome the problems of system theory and network theory over real field, this book uses matrices over the field F(z) of rational;

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Hierarchical Matrices

This self-contained monograph presents matrix algorithms and their analysis. The new technique enables not only the solution of linear;

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Introduction to Matrix Analysis and Applications

Matrices can be studied in different ways. They are a linear algebraic structure and have a topological/analytical aspect (for example, the;

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Positive Definite Matrices

, harmonic analysis, and differential geometry--all built around the central theme of positive definite matrices. He discusses positive and;

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Linear Algebra and Matrix Analysis for Statistics

Linear Algebra and Matrix Analysis for Statistics offers a gradual exposition to linear algebra without sacrificing the rigor of the;

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Hot Topics in Linear Algebra

modelling problems in chemistry with applying mixing problems, which the associated MP-matrices; and some visual apps, designed in Scilab, for the;

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Cell-Derived Matrices Part B157

of topics surrounding the use of cell-derived matrices for tissue engineering and regenerative medicine applications Includes relevant;

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Group Inverses of M-Matrices and Their Applications

Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes;

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Matroids

covered. The authors have also included several projects and open-ended research problems for independent study.;

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Matroids

covered. The authors have also included several projects and open-ended research problems for independent study.;

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Matrix Computations and Semiseparable Matrices V 1

background and introduces concepts and definitions concerning structured rank matrices. The second offers some traditional methods for solving;

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Spectra and Pseudospectra

Pure and applied mathematicians, physicists, scientists, and engineers use matrices and operators and their eigenvalues in quantum;

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Linear Algebra

vertically, which is seldom seen but is convenient for calculation. Regular matrices and determinants of matrices are defined and explained;

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Matrices and Graphs Stability Problems in Mathematical Ecology

of mathematical results pertinent to issues of theoretical and applied ecology. The only mathematical prerequisite for using Matrices and Graphs is a;

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