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This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data... Læs mere
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This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods... Læs mere
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The book introduces the principles of mathematical modeling in science, engineering, and social science as well as basic skills of computer programming. The book is aimed at majors in STEM disciplines that need to understand how to create, analyze, and test mathematical models.
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Emphasizing analytical skill development and problem solving, this book shows how to implement computational models using the flexible and easy-to-use... Læs mere
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This unique reference weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms... Læs mere
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A GROUNDBREAKING BOOK LOOKING AT HOW BIG TECH IS OBSESSED WITH OPTIMIZATION -- AND HOW WE CAN TAKE BACK CONTROL
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The focus of this book is on enabling real-time embedded software engineering while providing sufficient theoretical foundations and hardware background to understand the rationale for key decisions in RTOS and application design and implementation.
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