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This book is a summary of more than a decade of research in the area of backend optimization. It contains the latest fundamental research;
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Learn how to build and use all parts of real-world compilers, including the frontend, optimization pipeline, and a new backend by;
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optimization pass, generate code that is independent of a target, and then map the code generated to a backend. The book also walks you through CLANG;
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code from a real compiler and covers such advanced topics as code generation, optimization, and real-world parsing. It is an ideal reference;
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traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB (c) code optimization techniques, for;
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backend - this practical guide shows you how to use Ember.js, the popular JavaScript framework based on the model-view-controller (MVC;
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into two main parts. The first covers the theory of linear and integer optimization, including both basic and advanced topics. Dantzig's;
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Many companies, from startups to Fortune 500 companies alike, use Node.js to build performant backend services. And engineers love Node.js;
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with a firm grasp of the basic principles of EAs. Covering the theory, history, mathematics, and applications of evolutionary optimization;
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Advanced Search Engine Optimization Tactics and Techniques.;
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Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory;
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Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged;
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A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this;
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through advanced code and model optimization. Youll learn exactly what happens under the hood when you run a DAX expression, and use this;
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sets of dependencies * Packed with advanced concepts and best practices to write efficient Python code Who This Book Is For The book;
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This book is intended to be a cookbook for students and researchers to understand the finite element method and optimization methods and;
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You don't have to accept slow Ruby or Rails performance. In this comprehensive guide to Ruby optimization, you'll learn how to write faster;
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For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they;
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statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced;
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In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how;
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optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from;
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-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering. It;
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, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and;
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interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced;
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Intermediate-Advanced user level;
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You Will Learn * Master code optimization step-by-step and learn how to use different tools * Understand what a profiler is and how to;
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