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Matrices

Matrices PDF Author: Denis Serre
Publisher: Springer Science & Business Media
ISBN: 1441976833
Category : Mathematics
Languages : en
Pages : 291

Book Description
In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty percent new material, this second edition is significantly different from the first edition. Newly added topics include: • Dunford decomposition, • tensor and exterior calculus, polynomial identities, • regularity of eigenvalues for complex matrices, • functional calculus and the Dunford–Taylor formula, • numerical range, • Weyl's and von Neumann’s inequalities, and • Jacobi method with random choice. The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.

Matrices

Matrices PDF Author: Denis Serre
Publisher: Springer Science & Business Media
ISBN: 1441976833
Category : Mathematics
Languages : en
Pages : 291

Book Description
In this book, Denis Serre begins by providing a clean and concise introduction to the basic theory of matrices. He then goes on to give many interesting applications of matrices to different aspects of mathematics and also other areas of science and engineering. With forty percent new material, this second edition is significantly different from the first edition. Newly added topics include: • Dunford decomposition, • tensor and exterior calculus, polynomial identities, • regularity of eigenvalues for complex matrices, • functional calculus and the Dunford–Taylor formula, • numerical range, • Weyl's and von Neumann’s inequalities, and • Jacobi method with random choice. The book mixes together algebra, analysis, complexity theory and numerical analysis. As such, this book will provide many scientists, not just mathematicians, with a useful and reliable reference. It is intended for advanced undergraduate and graduate students with either applied or theoretical goals. This book is based on a course given by the author at the École Normale Supérieure de Lyon.

Linear and Nonlinear Functional Analysis with Applications

Linear and Nonlinear Functional Analysis with Applications PDF Author: Philippe G. Ciarlet
Publisher: SIAM
ISBN: 1611972582
Category : Mathematics
Languages : en
Pages : 847

Book Description
This single-volume textbook covers the fundamentals of linear and nonlinear functional analysis, illustrating most of the basic theorems with numerous applications to linear and nonlinear partial differential equations and to selected topics from numerical analysis and optimization theory. This book has pedagogical appeal because it features self-contained and complete proofs of most of the theorems, some of which are not always easy to locate in the literature or are difficult to reconstitute. It also offers 401 problems and 52 figures, plus historical notes and many original references that provide an idea of the genesis of the important results, and it covers most of the core topics from functional analysis.

Topology, Calculus and Approximation

Topology, Calculus and Approximation PDF Author: Vilmos Komornik
Publisher: Springer
ISBN: 1447173163
Category : Mathematics
Languages : en
Pages : 383

Book Description
Presenting basic results of topology, calculus of several variables, and approximation theory which are rarely treated in a single volume, this textbook includes several beautiful, but almost forgotten, classical theorems of Descartes, Erdős, Fejér, Stieltjes, and Turán. The exposition style of Topology, Calculus and Approximation follows the Hungarian mathematical tradition of Paul Erdős and others. In the first part, the classical results of Alexandroff, Cantor, Hausdorff, Helly, Peano, Radon, Tietze and Urysohn illustrate the theories of metric, topological and normed spaces. Following this, the general framework of normed spaces and Carathéodory's definition of the derivative are shown to simplify the statement and proof of various theorems in calculus and ordinary differential equations. The third and final part is devoted to interpolation, orthogonal polynomials, numerical integration, asymptotic expansions and the numerical solution of algebraic and differential equations. Students of both pure and applied mathematics, as well as physics and engineering should find this textbook useful. Only basic results of one-variable calculus and linear algebra are used, and simple yet pertinent examples and exercises illustrate the usefulness of most theorems. Many of these examples are new or difficult to locate in the literature, and so the original sources of most notions and results are given to help readers understand the development of the field.

Inverse Problem Theory and Methods for Model Parameter Estimation

Inverse Problem Theory and Methods for Model Parameter Estimation PDF Author: Albert Tarantola
Publisher: SIAM
ISBN: 9780898717921
Category : Mathematics
Languages : en
Pages : 349

Book Description
While the prediction of observations is a forward problem, the use of actual observations to infer the properties of a model is an inverse problem. Inverse problems are difficult because they may not have a unique solution. The description of uncertainties plays a central role in the theory, which is based on probability theory. This book proposes a general approach that is valid for linear as well as for nonlinear problems. The philosophy is essentially probabilistic and allows the reader to understand the basic difficulties appearing in the resolution of inverse problems. The book attempts to explain how a method of acquisition of information can be applied to actual real-world problems, and many of the arguments are heuristic.

Exercices d'analyse numérique matricielle et d'optimisation

Exercices d'analyse numérique matricielle et d'optimisation PDF Author: Philippe G. Ciarlet
Publisher: Elsevier Masson
ISBN:
Category : Análisis numérico
Languages : fr
Pages : 200

Book Description


Boundary Value Problems for Partial Differential Equations and Applications

Boundary Value Problems for Partial Differential Equations and Applications PDF Author: Jacques-Louis Lions
Publisher: Elsevier Masson
ISBN:
Category : Boundary value problems
Languages : en
Pages : 480

Book Description


Singularities in Boundary Value Problems

Singularities in Boundary Value Problems PDF Author: Pierre Grisvard
Publisher: Springer
ISBN:
Category : Mathematics
Languages : en
Pages : 222

Book Description


Exercices d'analyse numérique matricielle et d'optimisation avec solutions

Exercices d'analyse numérique matricielle et d'optimisation avec solutions PDF Author: Philippe G. Ciarlet
Publisher:
ISBN:
Category :
Languages : fr
Pages : 190

Book Description


Reviews in Numerical Analysis, 1980-86

Reviews in Numerical Analysis, 1980-86 PDF Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 672

Book Description
These five volumes bring together a wealth of bibliographic information in the area of numerical analysis. Containing over 17,600 reviews of articles, books, and conference proceedings, these volumes represent all the numerical analysis entries that appeared in Mathematical Reviews between 1980 and 1986. Author and key indexes appear at the end of volume 5.

Exercices d'analyse numérique matricielle et d'optimisation avec solutions

Exercices d'analyse numérique matricielle et d'optimisation avec solutions PDF Author: Philippe G. Ciarlet
Publisher:
ISBN:
Category :
Languages : fr
Pages : 190

Book Description