Skip to main content
Elsevier
View Cart
My account

Books in Mathematics

The Mathematics collection presents a range of foundational and advanced research content across applied and discrete mathematics, including fields such as Computational Mathematics; Differential Equations; Linear Algebra; Modelling & Simulation; Numerical Analysis; Probability & Statistics.

BooksJournals

    • Spectral Synthesis

      • 1st Edition
      • Volume 66
      • June 28, 1976
      • English
      • eBook
        9 7 8 0 0 8 0 8 7 3 8 2 4

    • Hopf Spaces

      • 1st Edition
      • Volume 22
      • January 1, 1976
      • English
      • Hardback
        9 7 8 0 7 2 0 4 0 5 5 3 8
      • eBook
        9 7 8 0 0 8 0 8 7 1 3 3 2

    • Theory of Optimal Search

      • 1st Edition
      • Volume 118
      • January 20, 1976
      • English
      • eBook
        9 7 8 0 0 8 0 9 5 6 2 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.

    • General Systems Theory: Mathematical Foundations

      • 1st Edition
      • Volume 113
      • March 21, 1975
      • English
      • eBook
        9 7 8 0 0 8 0 9 5 6 2 2 0
      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.

    • Singular Optimal Control Problems

      • 1st Edition
      • Volume 117
      • October 29, 1975
      • English
      • eBook
        9 7 8 0 0 8 0 9 5 6 2 6 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.

Related subjects

Mathematics and applied mathematics

Statistics and probability