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1-12 sur 12 résultats pour « stephanie friedhoff »
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  • Parallel-in-Time Integration Methods

    9th Parallel-in-Time Workshop, June 8–12, 2020

    Modifié par Benjamin Ong, Jacob Schroder, Jemma Shipton, Stephanie Friedhoff ...
    Collections series Springer Nature Proceedings excluding Computer Science
    This volume includes contributions from the 9th Parallel-in-Time (PinT) workshop, an annual gathering devoted to the field of time-parallel methods, aiming to adapt existing computer models to next-generation machines by adding a new dimension of scalability. As the latest supercomputers advance in microprocessing ability, they require new mathematical algorithms in order to fully realize their ... En savoir plus

    $204.99 CAD

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  • Network Performance Analysis

    par Thomas Bonald, Mathieu Feuillet ...
    The book presents some key mathematical tools for the performance analysis of communication networks and computer systems.Communication networks and computer systems have become extremely complex. The statistical resource sharing induced by the random behavior of users and the underlying protocols and algorithms may affect Quality of Service.This book introduces the main results of queuing theory ... En savoir plus

    $174.99 CAD

  • Practical Linear Algebra for Data Science

    From Core Concepts to Applications Using Python

    par Mike X Cohen ...
    If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world ... En savoir plus

    $67.99 CAD

  • Algebraic Geometry Modeling In Information Theory

    par Edgar Martinez-moro ...
    Collections Livre 8 - Series On Coding Theory And Cryptology
    Algebraic & geometry methods have constituted a basic background and tool for people working on classic block coding theory and cryptography. Nowadays, new paradigms on coding theory and cryptography have arisen such as: Network coding, S-Boxes, APN Functions, Steganography and decoding by linear programming. Again understanding the underlying procedure and symmetry of these topics needs a whole ... En savoir plus

    $50.99 CAD

  • Performance Analysis of Complex Networks and Systems

    par 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 ... En savoir plus

    $102.99 CAD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    par 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, ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

  • Scientific Programming: C-language, Algorithms And Models In Science

    par Enzo Marinari, Luciano Maria Barone, Giovanni Organtini, Federico Ricci-tersenghi ...
    The book teaches a student to model a scientific problem and write a computer program in C language to solve that problem. To do that, the book first introduces the student to the basics of C language, dealing with all syntactical aspects, but without the pedantic content of a typical programming language manual. Then the book describes and discusses many algorithms commonly used in scientific ... En savoir plus

    $72.99 CAD

  • Information Theory: A Concise Introduction

    par Stefan Hollos, J. Richard Hollos ...
    Books on information theory tend to fall into one of two extreme categories. There are large academic textbooks that cover the subject with great depth and rigor. Probably the best known of these is the book by Cover and Thomas. At the other extreme are the popular books such as the ones by Pierce and Gleick. They provide a very superficial introduction to the subject, enough to engage in cocktail ... En savoir plus

    $13.99 CAD ou Gratuit avec Kobo Plus

  • Matrix Algebra

    Theory, Computations and Applications in Statistics

    par James E. Gentle ...
    Collections series Mathematics and Statistics (R0)
    This textbook for graduate and advanced undergraduate students presents the theory of matrix algebra for statistical applications, explores various types of matrices encountered in statistics, and covers numerical linear algebra. Matrix algebra is one of the most important areas of mathematics in data science and in statistical theory, and the second edition of this very popular textbook provides ... En savoir plus

    $153.69 CAD

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

    par 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 ... En savoir plus

    $147.99 CAD

  • Explorations In Numerical Analysis: Python Edition

    par James V Lambers, Amber C Sumner Mooney, Vivian Ashley Montiforte ...
    This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those ... En savoir plus

    $59.99 CAD

  • Practical Methods of Optimization

    par R. Fletcher ...
    Fully describes optimization methods that are currently most valuable in solving real-life problems. Since optimization has applications in almost every branch of science and technology, the text emphasizes their practical aspects in conjunction with the heuristics useful in making them perform more reliably and efficiently. To this end, it presents comparative numerical studies to give readers a ... En savoir plus

    $117.99 CAD