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Elsevier

Elsevier Science

  • Large Infinitary Languages

    • 1st Edition
    • Volume 83
    • Lev D. Beklemishev
    • English

  • Provability, Computability and Reflection

    • 1st Edition
    • Volume 19
    • Lev D. Beklemishev
    • English

  • Set Theory

    • 1st Edition
    • Volume 76
    • Lev D. Beklemishev
    • English

  • Introduction to Global Variational Geometry

    • 1st Edition
    • Volume 10
    • Demeter Krupka
    • English
    This book provides a comprehensive introduction to modern global variational theory on fibred spaces. It is based on differentiation and integration theory of differential forms on smooth manifolds, and on the concepts of global analysis and geometry such as jet prolongations of manifolds, mappings, and Lie groups. The book will be invaluable for researchers and PhD students in differential geometry, global analysis, differential equations on manifolds, and mathematical physics, and for the readers who wish to undertake further rigorous study in this broad interdisciplinary field. Featured topics- Analysis on manifolds- Differential forms on jet spaces - Global variational functionals- Euler-Lagrange mapping - Helmholtz form and the inverse problem- Symmetries and the Noether’s theory of conservation laws- Regularity and the Hamilton theory- Variational sequences - Differential invariants and natural variational principles

  • Problems in the Philosophy of Science

    • 1st Edition
    • Volume 49
    • Lev D. Beklemishev
    • English

  • Chromatography of Antibiotics

    • 2nd Edition
    • Volume 26
    • M.J. Weinstein + 1 more
    • English

  • Logic, Methodology and Philosophy of Science III

    • 1st Edition
    • Volume 52
    • Lev D. Beklemishev
    • English

  • Extensions of Linear-Quadratic Control, Optimization and Matrix Theory

    • 1st Edition
    • Volume 133
    • English
    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.

  • Provability, Computability and Reflection

    • 1st Edition
    • Volume 12
    • Lev D. Beklemishev
    • English

  • Applications

    • 1st Edition
    • Volume 18B
    • Z. Deyl
    • English

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