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Methods of intermediate problems for eigenvalues: theory and ramifications

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.

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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."@en

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  • "Methods of intermediate problems for eigenvalues theory and ramifications"
  • "Methods of intermediate problems for eigenvalues: theory and ramifications"@en
  • "Methods of intermediate problems for eigenvalues: theory and ramifications"
  • "Methods of intermediate problems for eigenvalues : Theory and ramifications"
  • "Methods of intermediate problems for eigenvalues : theory and ramifications"
  • "Methods of intermediate problems for eigenvalues : theory and ramifications"@en