Books in Approximations and expansions

1-10 of 53 results in All results

Hilbertian Kernels and Spline Functions

• 1st Edition
• Volume 4
• June 28, 2014
• M. Atteia
• English
• eBook 978-1-4832-9519-0

  9 7 8 - 1 - 4 8 3 2 - 9 5 1 9 - 0

In this monograph, which is an extensive study of Hilbertian approximation, the emphasis is placed on spline functions theory. The origin of the book was an effort to show that spline theory parallels Hilbertian Kernel theory, not only for splines derived from minimization of a quadratic functional but more generally for splines considered as piecewise functions type.Being as far as possible self-contained, the book may be used as a reference, with information about developments in linear approximation, convex optimization, mechanics and partial differential equations.

Stability by Liapunov's Direct Method with Applications by Joseph L Salle and Solomon Lefschetz

• 1st Edition
• Volume 4
• January 25, 2012
• Joseph La Salle + 1 more
• English
• eBook 978-0-08-095512-4

  9 7 8 - 0 - 0 8 - 0 9 5 5 1 2 - 4

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression.

Approximation Problems in Analysis and Probability

• 1st Edition
• Volume 159
• August 18, 2011
• M.P. Heble
• English
• eBook 978-0-08-087270-4

  9 7 8 - 0 - 0 8 - 0 8 7 2 7 0 - 4

This is an exposition of some special results on analytic or C∞-approximation of functions in the strong sense, in finite- and infinite-dimensional spaces. It starts with H. Whitney's theorem on strong approximation by analytic functions in finite-dimensional spaces and ends with some recent results by the author on strong C∞-approximation of functions defined in a separable Hilbert space. The volume also contains some special results on approximation of stochastic processes. The results explained in the book have been obtained over a span of nearly five decades.

Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

• 1st Edition
• Volume 212
• March 2, 2007
• Anatoli Torokhti + 1 more
• English
• Hardback 978-0-444-53044-8

  9 7 8 - 0 - 4 4 4 - 5 3 0 4 4 - 8
• eBook 978-0-08-047538-7

  9 7 8 - 0 - 0 8 - 0 4 7 5 3 8 - 7

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation; methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; and methods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory. As a result, the book represents a blend of new methods in general computational analysis, and specific, but also generic, techniques for study of systems theory ant its particular branches, such as optimal filtering and information compression.

Topics in Multivariate Approximation and Interpolation

• 1st Edition
• Volume 12
• November 15, 2005
• Kurt Jetter + 4 more
• English
• Hardback 978-0-444-51844-6

  9 7 8 - 0 - 4 4 4 - 5 1 8 4 4 - 6
• eBook 978-0-08-046204-2

  9 7 8 - 0 - 0 8 - 0 4 6 2 0 4 - 2

This book is a collection of eleven articles, written by leading experts and dealing with special topics in Multivariate Approximation and Interpolation. The material discussed here has far-reaching applications in many areas of Applied Mathematics, such as in Computer Aided Geometric Design, in Mathematical Modelling, in Signal and Image Processing and in Machine Learning, to mention a few. The book aims at giving a comprehensive information leading the reader from the fundamental notions and results of each field to the forefront of research. It is an ideal and up-to-date introduction for graduate students specializing in these topics, and for researchers in universities and in industry.

Differential Geometry and the Calculus of Variations by Robert Hermann

• 1st Edition
• Volume 49
• April 1, 2000
• Robert Hermann
• English
• eBook 978-0-08-095557-5

  9 7 8 - 0 - 0 8 - 0 9 5 5 5 7 - 5

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

Systems and Simulation by Dimitris N Chorafas

• 1st Edition
• Volume 14
• April 1, 2000
• Dimitris N. Chorafas
• English
• eBook 978-0-08-095781-4

  9 7 8 - 0 - 0 8 - 0 9 5 7 8 1 - 4

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

Extensions of Linear-Quadratic Control, Optimization and Matrix Theory

• 1st Edition
• Volume 133
• April 1, 2000
• David H. JACOBSON
• English
• eBook 978-0-08-095642-8

  9 7 8 - 0 - 0 8 - 0 9 5 6 4 2 - 8

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

Stability of Motion by A M Liapunov

• 1st Edition
• Volume 30
• April 1, 2000
• A. M. Liapunov
• English
• eBook 978-0-08-095537-7

  9 7 8 - 0 - 0 8 - 0 9 5 5 3 7 - 7

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.

Theory of Hierarchical, Multilevel, Systems

• 1st Edition
• Volume 68
• April 1, 2000
• M. D. Mesarovic + 2 more
• English
• eBook 978-0-08-095577-3

  9 7 8 - 0 - 0 8 - 0 9 5 5 7 7 - 3

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank matrix approximations; hybrid methods based on a combination of iterative procedures and best operator approximation; andmethods for information compression and filtering under condition that a filter model should satisfy restrictions associated with causality and different types of memory.As a result, the book represents a blend of new methods in general computational analysis,and specific, but also generic, techniques for study of systems theory ant its particularbranches, such as optimal filtering and information compression.