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Elsevier

Elsevier Science

  • Cerebral Blood Flow

    • 1st Edition
    • Volume 35
    • English
    Progress in Brain Research is the most acclaimed and accomplished series in neuroscience. The serial is well-established as an extensive documentation of contemporary advances in the field. The volumes contain authoritative reviews and original articles by invited specialists. The rigorous editing of the volumes assures that they will appeal to all laboratory and clinical brain research workers in the various disciplines: neuroanatomy, neurophysiology, neuropharmacology, neuroendocrinology, neuropathology, basic neurology, biological psychiatry and the behavioral sciences.

  • Basic Aspects of Central Vestibular Mechanisms

    • 1st Edition
    • Volume 37
    • English

  • Carbonate Sediments and Their Diagenesis

    • 1st Edition
    • Volume 12
    • English

  • Reactions of Aromatic Compounds

    • 1st Edition
    • Volume 13
    • R.G. Compton + 2 more
    • English

  • Decomposition of Inorganic and Organometallic Compounds

    • 1st Edition
    • Volume 4
    • C.H. Bamford + 2 more
    • English

  • Topics in Neuroendocrinology

    • 1st Edition
    • Volume 38
    • English

  • Geomagnetism in Marine Geology

    • 1st Edition
    • Volume 6
    • English

  • Dynamic Programming and Its Application to Optimal Control

    • 1st Edition
    • Volume 81
    • 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.

  • Logic, Automata, and Algorithms

    • 1st Edition
    • Volume 79
    • 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.

  • General Dynamical Processes: A Mathematical Introduction

    • 1st Edition
    • Volume 78
    • 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.

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