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Top Series in United States

Showing 1 - 12 of 12 results for “olga mula”
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  • Model Order Reduction and Applications

    Cetraro, Italy 2021

    by Michael Hinze, J. Nathan Kutz, Olga Mula, Karsten Urban ...
    Series series Mathematics and Statistics (R0)
    This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields.Consisting of four contributions presented at the CIME summer school, the book presents several points of ... Read more

    $58.99 USD

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  • Math for Deep Learning

    What You Need to Know to Understand Neural Networks

    by Ronald T. Kneusel ...
    Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits.With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning.You’ll work through Python examples to learn key deep learning related topics in probability, statistics, ... Read more

    $29.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    by Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Read more

    $27.89 USD or Free with Kobo Plus

  • 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

    $148.49 USD

  • Numerical Methods

    Using MATLAB

    by George Lindfield, John Penny ...
    Numerical Methods using MATLAB, 3e, is an extensive reference offering hundreds of useful and important numerical algorithms that can be implemented into MATLAB for a graphical interpretation to help researchers analyze a particular outcome. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications ... Read more

    $85.49 USD

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    by Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Read more

    $120.59 USD

  • 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

    $143.99 USD

  • Object Detection and Recognition in Digital Images

    Theory and Practice

    by Boguslaw Cyganek ...
    Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.Key features:Explains the main ... Read more

    $121.00 USD

  • Signal Processing for Neuroscientists, A Companion Volume

    Advanced Topics, Nonlinear Techniques and Multi-Channel Analysis

    by Wim van Drongelen ...
    The popularity of signal processing in neuroscience is increasing, and with the current availability and development of computer hardware and software, it is anticipated that the current growth will continue. Because electrode fabrication has improved and measurement equipment is getting less expensive, electrophysiological measurements with large numbers of channels are now very common. In ... Read more

    $70.19 USD

  • Core Concepts in Data Analysis: Summarization, Correlation and Visualization

    by Boris Mirkin ...
    Series series Computer Science (R0)
    Core Concepts in Data Analysis: Summarization, Correlation and Visualizationprovides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule).Boris Mirkin takes an unconventional ... Read more

    $31.49 USD

  • Sparse Image and Signal Processing

    Wavelets and Related Geometric Multiscale Analysis, Second Edition

    by Jean-Luc Starck, Fionn Murtagh, Jalal Fadili ...
    This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest ... Read more

    $86.09 USD

  • 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

    $30.99 USD