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Showing 1 - 12 of 12 results for “dan m ionel”
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  • Renewable Energy Devices and Systems with Simulations in MATLAB® and ANSYS®

    Edited by Frede Blaabjerg, Dan M. Ionel ...
    Due to the increasing world population, energy consumption is steadily climbing, and there is a demand to provide solutions for sustainable and renewable energy production, such as wind turbines and photovoltaics. Power electronics are being used to interface renewable sources in order to maximize the energy yield, as well as smoothly integrate them within the grid. In many cases, power ... Read more

    $93.43 CAD

  • Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives

    by Frede Blaabjerg, Marius Rosu, Ping Zhou, Dingsheng Lin, Dan M. Ionel, Mircea Popescu, Vandana Rallabandi, David Staton ...
    Series series IEEE Press Series on Power and Energy Systems
    Presents applied theory and advanced simulation techniques for electric machines and drivesThis book combines the knowledge of experts from both academia and the software industry to present theories of multiphysics simulation by design for electrical machines, power electronics, and drives. The comprehensive design approach described within supports new applications required by technologies ... Read more

    $167.99 CAD

  • Computational Methods for Data Evaluation and Assimilation

    by Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor ...
    Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdiscipli ... Read more

    $130.53 CAD

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  • 15 Math Concepts Every Data Scientist Should Know

    Understand and learn how to apply the math behind data science algorithms

    by David Hoyle ...
    Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithmsKey FeaturesUnderstand key data science algorithms with Python-based examplesIncrease the impact of your data science solutions by learning how to apply existing algorithmsTake your data science solutions to the next level by learning how to ... Read more

    $38.39 CAD or Free with Kobo Plus

  • Elements of Information Theory

    by Thomas M. Cover, Joy A. Thomas ...
    The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including ... Read more

    $147.99 CAD

  • The Art Of Probability

    by Richard W. Hamming ...
    Offering accessible and nuanced coverage, Richard W. Hamming discusses theories of probability with unique clarity and depth. Topics covered include the basic philosophical assumptions, the nature of stochastic methods, and Shannon entropy. One of the best introductions to the topic, The Art of Probability is filled with unique insights and tricks worth knowing. ... Read more

    $159.39 CAD

  • Introduction to Probability Models

    by Sheldon M. Ross ...
    Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, ... Read more

    $110.39 CAD

  • Handbook of Monte Carlo Methods

    by Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev ...
    Series Book 706 - Wiley Series in Probability and Statistics
    A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the ... Read more

    $206.99 CAD

  • Introduction to Statistical Pattern Recognition

    by Keinosuke Fukunaga ...
    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

    $64.79 CAD

  • Bayesian Reasoning and Machine Learning

    by David Barber ...
    Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to ... Read more

    $91.19 CAD

  • Probability in Electrical Engineering and Computer Science

    An Application-Driven Course

    by Jean Walrand ...
    Series series Computer Science (R0)
    This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, ... Read more

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  • Math and Architectures of Deep Learning

    by Krishnendu Chaudhury ...
    Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.Inside Math and Architectures of Deep Learning you will find:Math, theory, and programming principles side by sideLinear algebra, vector calculus and ... Read more

    $90.99 CAD