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  • Deterministic Learning Theory for Identification, Recognition, and Control

    Series series Automation and Control Engineering
    Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical ... Read more

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  • Current and Future Developments in Physiology Volume: 1

    by David J. Hill ...
    Plasticity in insulin-producing cells (?-cells) of the pancreas is a major contributor to metabolic control. Targeted regeneration of pancreatic ?-cells for the reversal of diabetes (by optimizing ?-cells mass and proliferation to meet metabolic requirements and counter autoimmune response) is still a theoretical intervention. This monograph reviews the biology, ontogeny, capabilities, and present ... Read more

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  • Nonlinear Control of Dynamic Networks

    Series series Automation and Control Engineering
    Significant progress has been made on nonlinear control systems in the past two decades. However, many of the existing nonlinear control methods cannot be readily used to cope with communication and networking issues without nontrivial modifications. For example, small quantization errors may cause the performance of a "well-designed" nonlinear control system to deteriorate.Motivated by the need ... Read more

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    Applied Analysis on Graphs for Computational Science

    The field of discrete calculus, also known as "discrete exterior calculus", focuses on finding a proper set of definitions and differential operators that make it possible to operate the machinery of multivariate calculus on a finite, discrete space. In contrast to traditional goals of finding an accurate discretization of conventional multivariate calculus, discrete calculus establishes a ... Read more

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  • Unsolved Problems in Mathematical Systems and Control Theory

    This book provides clear presentations of more than sixty important unsolved problems in mathematical systems and control theory. Each of the problems included here is proposed by a leading expert and set forth in an accessible manner. Covering a wide range of areas, the book will be an ideal reference for anyone interested in the latest developments in the field, including specialists in applied ... Read more

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  • Introduction To Numerical Computation, An

    by Wen Shen ...
    Developed during ten years of teaching experience, this book serves as a set of lecture notes for an introductory course on numerical computation, at the senior undergraduate level. These notes contain the material that can be covered in a semester, together with a few optional sections for additional reading. Rather than surveying a large number of algorithms, the book presents the most important ... Read more

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  • Stochastic Geometry and Its Applications

    Series series Wiley Series in Probability and Statistics
    An extensive update to a classic textStochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials sciences, engineering, biology and environmental sciences. They offer successful models for the description of random two- and three-dimensional micro and macro structures and statistical methods for their analysis.The previous edition of this book ... Read more

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  • Introduction to Statistical Pattern Recognition

    This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded ... Read more

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  • Cancer Immunotherapy

    Immune Suppression and Tumor Growth

    There has been major growth in understanding immune suppression mechanisms and its relationship to cancer progression and therapy. This book highlights emerging new principles of immune suppression that drive cancer, and it offers radically new ideas about how therapy can be improved by attacking these principles. Following work that firmly establishes immune escape as an essential trait of cancer ... Read more

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  • Information Geometry and Its Applications

    Series series Mathematics and Statistics (R0)
    This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide range of applications, covering information science, engineering, and neuroscience. It consists of four parts, which on the whole can be read independently. A manifold with a divergence function is first introduced ... Read more

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  • A Student's Guide to Coding and Information Theory

    This easy-to-read guide provides a concise introduction to the engineering background of modern communication systems, from mobile phones to data compression and storage. Background mathematics and specific engineering techniques are kept to a minimum so that only a basic knowledge of high-school mathematics is needed to understand the material covered. The authors begin with many practical ... Read more

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  • Mathematical Perspectives on Neural Networks

    Series series Developments in Connectionist Theory Series
    Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary ... Read more

    $79.99 USD