Computational Methods For Modeling Of Nonlinear Systems By Anatoli Torokhti And Phil Howlett
Download Computational Methods For Modeling Of Nonlinear Systems By Anatoli Torokhti And Phil Howlett full books in PDF, epub, and Kindle. Read online free Computational Methods For Modeling Of Nonlinear Systems By Anatoli Torokhti And Phil Howlett ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett
Author | : Anatoli Torokhti,Phil Howlett |
Publsiher | : Elsevier |
Total Pages | : 413 |
Release | : 2007-04-11 |
Genre | : Mathematics |
ISBN | : 9780080475387 |
Download Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett Book in PDF, Epub and Kindle
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. Best operator approximation Non-Lagrange interpolation Generic Karhunen-Loeve transform Generalised low-rank matrix approximation Optimal data compression Optimal nonlinear filtering
Computational Methods for Modeling of Nonlinear Systems
Author | : Anatoli Torokhti,Phil Howlett |
Publsiher | : Academic Press |
Total Pages | : 322 |
Release | : 1966-02-12 |
Genre | : Mathematics |
ISBN | : 0121740625 |
Download Computational Methods for Modeling of Nonlinear Systems Book in PDF, Epub and Kindle
Computational Methods for Modeling of Nonlinear Systems
Author | : Anatoli Torokhti,Phil Howlett |
Publsiher | : Elsevier Science Limited |
Total Pages | : 322 |
Release | : 1967-02-12 |
Genre | : Mathematics |
ISBN | : 0123749190 |
Download Computational Methods for Modeling of Nonlinear Systems Book in PDF, Epub and Kindle
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. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Computational Methods for Modeling of Nonlinear Systems
Author | : Anatoli Torokhti,Phil Howlett |
Publsiher | : Elsevier Science Limited |
Total Pages | : 322 |
Release | : 1968 |
Genre | : Mathematics |
ISBN | : 0123421500 |
Download Computational Methods for Modeling of Nonlinear Systems Book in PDF, Epub and Kindle
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. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Control Systems Functions and Programming Approaches Applications by Dimitris N Chorafas
Author | : Anonim |
Publsiher | : Academic Press |
Total Pages | : 322 |
Release | : 1966-01-01 |
Genre | : Mathematics |
ISBN | : 0080955347 |
Download Control Systems Functions and Programming Approaches Applications by Dimitris N Chorafas Book in PDF, Epub and Kindle
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. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Priority Queues by N K Jaiswal
Author | : Anatoli Torokhti,Phil Howlett |
Publsiher | : Elsevier |
Total Pages | : 322 |
Release | : 1968-02-12 |
Genre | : Mathematics |
ISBN | : 0080955584 |
Download Priority Queues by N K Jaiswal Book in PDF, Epub and Kindle
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. - Best operator approximation, - Non-Lagrange interpolation, - Generic Karhunen-Loeve transform - Generalised low-rank matrix approximation - Optimal data compression - Optimal nonlinear filtering
Mathematical Reviews
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 1164 |
Release | : 2007 |
Genre | : Mathematics |
ISBN | : UOM:39015076649915 |
Download Mathematical Reviews Book in PDF, Epub and Kindle
Introduction to Computational Mathematics
Author | : Xin-She Yang |
Publsiher | : World Scientific Publishing Company |
Total Pages | : 344 |
Release | : 2014-11-26 |
Genre | : Mathematics |
ISBN | : 9789814635806 |
Download Introduction to Computational Mathematics Book in PDF, Epub and Kindle
This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.