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

Anatoli Torokhti, Phil Howlett
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      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.
      Format: CONTRIBUTORS: Anatoli Torokhti, Phil Howlett EAN: 9780444530448 COUNTRY: United Kingdom PAGES: WEIGHT: 790 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science & Technology DATE PUBLISHED: 2007-03-02 CITY: GENRE: MATHEMATICS / Algebra / Linear, MATHEMATICS / Mathematical Analysis, TECHNOLOGY & ENGINEERING / Mechanical WIDTH: 152 cm SPINE:

      Book Themes:

      Algebra, Calculus and mathematical analysis

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      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.
      Format: CONTRIBUTORS: Anatoli Torokhti, Phil Howlett EAN: 9780444530448 COUNTRY: United Kingdom PAGES: WEIGHT: 790 g HEIGHT: 229 cm
      PUBLISHED BY: Elsevier Science & Technology DATE PUBLISHED: 2007-03-02 CITY: GENRE: MATHEMATICS / Algebra / Linear, MATHEMATICS / Mathematical Analysis, TECHNOLOGY & ENGINEERING / Mechanical WIDTH: 152 cm SPINE:

      Book Themes:

      Algebra, Calculus and mathematical analysis

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