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  • The Great Warrior Genghis Khan

    by Wang Chisheng ...
    This comic version of Genghis Khan charts his rise from an angst-ridden youth trying to rebuild his clan to become a fearsome warrior fighting back to regain what he had lost and more. This is the tale of one man who laid claim on the whole of Mongolia and created a mammoth empire stretching across Asia and Europe; a man whose name invoked fear in rulers everywhere. Genghis Khan, through his great ... Read more

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  • The Great Warrior Genghis Khan

    by Wang Chisheng ...
    Series series History Express
    This comic version of Genghis Khan charts his rise from an angst-ridden youth trying to rebuild his clan to become a fearsome warrior fighting back to regain what he had lost and more. This is the tale of one man who laid claim on the whole of Mongolia and created a mammoth empire stretching across Asia and Europe; a man whose name invoked fear in rulers everywhere. Genghis Khan, through his great ... Read more

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  • Machine Learning in Data Processing

    Series series Mathematics and Statistics (R0)
    Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with real-world datasets.This book provides a rigorous yet accessible introduction to the core mathematical ideas that underpin machine learning. Topics ... Read more

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  • Mathematics of Machine Learning

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  • McGraw-Hill's 500 College Linear Algebra Questions to Know by Test Day

    500 Ways to Achieve Your Best GradesWe want you to succeed on your college linear algebra midterm and final exams. That's why we've selected these 500 questions to help you study more effectively, use your preparation time wisely, and get your best grades. These questions and answers are similar to the ones you'll find on a typical college exam, so you will know what to expect on test day. Each ... Read more

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  • Numerical Analysis

    Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this ... Read more

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  • Introduction to Lattices and Order

    This new edition of Introduction to Lattices and Order presents a radical reorganization and updating, though its primary aim is unchanged. The explosive development of theoretical computer science in recent years has, in particular, influenced the book's evolution: a fresh treatment of fixpoints testifies to this and Galois connections now feature prominently. An early presentation of concept ... Read more

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  • Practice Makes Perfect Linear Algebra

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    Expert instruction and plenty of practice to reinforce advanced math skillsPresents concepts with application to natural sciences, engineering, economics, computer science, and other branches of mathematicsComplementary to most linear algebra courses or as a refresher textMore than 500 exercises and answersHundreds of solved problemsThe Practice Makes Perfect series has sold more than 1 million ... Read more

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  • Modern Cryptography Volume 1

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    Series series Economics and Finance (R0)
    This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical ... Read more

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  • Explorations In Numerical Analysis: Python Edition

    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 ... Read more

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