Introduction to Algorithms
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Introduction to the Theory of Computation, Second Edition
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Algorithm Design
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Pattern Classification (2nd Edition)
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Computers and Intractability: A Guide to the Theory of NP-Completeness (Series of Books in the Mathematical Sciences)
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Computational Geometry: Algorithms and Applications
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Combinatorial Optimization: Algorithms and Complexity
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Introduction to Linear Optimization (Athena Scientific Series in Optimization and Neural Computation, 6) (Athena Scientific Series in Optimization and Neural Computation, 6)
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Convex Optimization
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Combinatorial Optimization
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The Probabilistic Method (Wiley-Interscience Series in Discrete Mathematics and Optimization)
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Algorithmic Game Theory
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Probability and Computing: Randomized Algorithms and Probabilistic Analysis
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Computational Complexity
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Network Flows: Theory, Algorithms, and Applications
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Randomized Algorithms
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Computational Geometry: Algorithms and Applications, Second Edition
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Modern Graph Theory
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Combinatorial Optimization: Networks and Matroids
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Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
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The Probabilistic Method (Wiley-Interscience Series in Discrete Mathematics and Optimization)
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Approximation Algorithms for NP-Hard Problems
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Lectures on Proof Verification and Approximation Algorithms (Lecture Notes in Computer Science)
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