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Interdisciplinary Mathematical Sciences eBook Series

Showing 1 - 12 of 12 results
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  • Kernel-based Approximation Methods Using Matlab

    by Gregory E Fasshauer, Michael J Mccourt ...
    Series Book 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 ... Read more

    R457,34

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  • Pattern Recognition

    by Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Read more

    R1 769,08

  • Art of Computer Programming, The

    Seminumerical Algorithms, Volume 2

    by Donald Knuth ...
    The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming.–Byte, September 1995I can't begin to tell you how many pleasurable hours of study and recreation they have afforded me! I have pored over them in cars, restaurants, at work, at home... and even at a Little League game when my son wasn't in the line ... Read more

    R1 121,58

  • Algorithms for Sparsity-Constrained Optimization

    by Sohail Bahmani ...
    Series series Engineering (R0)
    This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models. ... Read more

    R2 434,08

  • Optimization

    by Kenneth Lange ...
    Series series Mathematics and Statistics (R0)
    Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition ... Read more

    R2 260,20

  • Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications

    In Honor of Professor Raytcho Lazarov's 40 Years of Research in Computational Methods and Applied Mathematics

    Edited by Oleg P. Iliev, Svetozar D. Margenov, Peter D Minev, Panayot S. Vassilevski, Ludmil T Zikatanov ...
    Series series Springer Nature Proceedings excluding Computer Science
    One of the current main challenges in the area of scientific computing is the design and implementation of accurate numerical models for complex physical systems which are described by time dependent coupled systems of nonlinear PDEs. This volume integrates the works of experts in computational mathematics and its applications, with a focus on modern algorithms which are at the heart of accurate ... Read more

    R2 434,08

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Edited by Pierre Comon, Christian Jutten ...
    Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and ... Read more

    R2 762,68

  • Performance Analysis of Complex Networks and Systems

    by Piet Van Mieghem ...
    This rigorous, self-contained book describes mathematical and, in particular, stochastic and graph theoretic methods to assess the performance of complex networks and systems. It comprises three parts: the first is a review of probability theory; Part II covers the classical theory of stochastic processes (Poisson, Markov and queueing theory), which are considered to be the basic building blocks ... Read more

    R1 740,74

  • Matrix Information Geometry

    Edited by Frank Nielsen, Rajendra Bhatia ...
    Series series Engineering (R0)
    This book presents advances in matrix and tensor data processing in the domain of signal, image and information processing. The theoretical mathematical approaches are discusses in the context of potential applications in sensor and cognitive systems engineering.The topics and application include Information Geometry, Differential Geometry of structured Matrix, Positive Definite Matrix, Covariance ... Read more

    R2 434,08

  • Numerical Analysis for Engineers and Scientists

    by G. Miller ...
    Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. The author provides a clear introduction to the classical methods, how they work and why they sometimes fail. Crucially, he also demonstrates how these simple and classical techniques can be combined to address difficult problems. Many worked examples and sample programs are ... Read more

    R1 552,49

  • Computation, Cryptography, and Network Security

    Edited by Nicholas J. Daras, Michael Th. Rassias ...
    Series series Mathematics and Statistics (R0)
    Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions ... Read more

    R1 564,68

  • Nonlinear Model Predictive Control

    Theory and Algorithms

    by Lars Grüne, Jürgen Pannek ...
    Series series Engineering (R0)
    Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented ... Read more

    R2 607,96