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  • Nonlinear Blind Source Separation and Blind Mixture Identification

    Methods for Bilinear, Linear-quadratic and Polynomial Mixtures

    Series series Engineering (R0)
    This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, ... Leer más

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    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 ... Leer más

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  • Manifold Learning Theory and Applications

    Edición de Yun Fu, Yunqian Ma ...
    Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations. Manifold learning, a groundbreaking technique designed to tackle these issues of dimensionality reduction, finds widespread ... Leer más

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  • Kernel-based Approximation Methods Using Matlab

    Series Libro 19 - Interdisciplinary Mathematical Sciences
    In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as ... Leer más

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  • A Mathematical Introduction to Compressive Sensing

    Series series Applied and Numerical Harmonic Analysis
    At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, ... Leer más

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  • Advanced Numerical Methods with Matlab 2

    Resolution of Nonlinear, Differential and Partial Differential Equations

    The purpose of this book is to introduce and study numerical methods basic and advanced ones for scientific computing. This last refers to the implementation of appropriate approaches to the treatment of a scientific problem arising from physics (meteorology, pollution, etc.) or of engineering (mechanics of structures, mechanics of fluids, treatment signal, etc.). Each chapter of this book recalls ... Leer más

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  • Topological and Statistical Methods for Complex Data

    Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces

    Series series Springer Nature Proceedings excluding Computer Science
    This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.The book presents new methods ... Leer más

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  • Inverse Problems in Vision and 3D Tomography

    Edición de Ali Mohamad-Djafari ...
    The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked ... Leer más

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  • Advanced Numerical Methods with Matlab 1

    Function Approximation and System Resolution

    Most physical problems can be written in the form of mathematical equations (differential, integral, etc.). Mathematicians have always sought to find analytical solutions to the equations encountered in the different sciences of the engineer (mechanics, physics, biology, etc.). These equations are sometimes complicated and much effort is required to simplify them. In the middle of the 20th century ... Leer más

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  • Quantum Probability And Related Topics - Proceedings Of The 32nd Conference

    Series Libro 29 - Qp-pq: Quantum Probability And White Noise Analysis
    This volume contains the current research in quantum probability, infinite dimensional analysis and related topics. Contributions by experts in these fields highlight the latest developments and interdisciplinary connections with classical probability, stochastic analysis, white noise analysis, functional analysis and quantum information theory.This diversity shows how research in quantum ... Leer más

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  • Theory of Fuzzy Computation

    Series series Mathematics and Statistics (R0)
    The book provides the first full length exploration of fuzzy computability. It describes the notion of fuzziness and present the foundation of computability theory. It then presents the various approaches to fuzzy computability. This text provides a glimpse into the different approaches in this area, which is important for researchers in order to have a clear view of the field. It contains a ... Leer más

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  • Optimal Design of Multi-Phase Materials

    With a Cost Functional That Depends Nonlinearly on The Gradient

    Series series Mathematics and Statistics (R0)
    This book aims the optimal design of a material (thermic or electrical) obtained as the mixture of a finite number of original materials, not necessarily isotropic. The problem is to place these materials in such a way that the solution of the corresponding state equation minimizes a certain functional that can depend nonlinearly on the gradient of the state function. This is the main novelty in ... Leer más

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