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Computational Complexity. Problem complexity vs. algorithmic complexity Upper bounds vs. lower bounds Exact solutions vs. approximate solutions Deterministic
Documents Computational Complexity. Problem complexity vs. algorithmic complexity Upper bounds vs. lower bounds Exact solutions vs. approximate solutions Deterministic

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Many Np Completeness Proofs
Documents Many Np Completeness Proofs

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NP-Completeness: Reductions CSc 4520/6520 Fall 2013 Slides adapted from David Evans (Virgina) and Costas Busch (RPI)
Documents NP-Completeness: Reductions CSc 4520/6520 Fall 2013 Slides adapted from David Evans (Virgina) and Costas Busch (RPI)

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CSCI 256 Data Structures and Algorithm Analysis Lecture 22 Some slides by Kevin Wayne copyright 2005, Pearson Addison Wesley all rights reserved, and some
Documents CSCI 256 Data Structures and Algorithm Analysis Lecture 22 Some slides by Kevin Wayne copyright 2005, Pearson Addison Wesley all rights reserved, and some

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Five Problems CSE 421 Richard Anderson Winter 2009, Lecture 3
Documents Five Problems CSE 421 Richard Anderson Winter 2009, Lecture 3

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Convex Hull(35.3) Convex Hull, CH(X), is the smallest convex polygon containing all points from X, |X|=n Different methods: –incremental: moving from left
Documents Convex Hull(35.3) Convex Hull, CH(X), is the smallest convex polygon containing all points from X, |X|=n Different methods: –incremental: moving from left

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1/19 Minimizing weighted completion time with precedence constraints Nikhil Bansal (IBM) Subhash Khot (NYU)
Documents 1/19 Minimizing weighted completion time with precedence constraints Nikhil Bansal (IBM) Subhash Khot (NYU)

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Coloring k-colorable graphs using smaller palettes Eran Halperin Ram Nathaniel Uri Zwick Tel Aviv University
Documents Coloring k-colorable graphs using smaller palettes Eran Halperin Ram Nathaniel Uri Zwick Tel Aviv University

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Multi-Layer Channel Routing Complexity and Algorithm - Rajat K. Pal Md. Jawaherul Alam #040805062P Presented by Section 5.3: NP-completeness of Multi-Layer
Documents Multi-Layer Channel Routing Complexity and Algorithm - Rajat K. Pal Md. Jawaherul Alam #040805062P Presented by Section 5.3: NP-completeness of Multi-Layer

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Link Building Martin Olsen Department of Computer Science Aarhus University 1
Documents Link Building Martin Olsen Department of Computer Science Aarhus University 1

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Theta Function Lecture 24: Apr 18. Error Detection Code Given a noisy channel, and a finite alphabet V, and certain pairs that can be confounded, the
Documents Theta Function Lecture 24: Apr 18. Error Detection Code Given a noisy channel, and a finite alphabet V, and certain pairs that can be confounded, the

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1 Algorithm Design Patterns and Anti-Patterns Algorithm design patterns.Ex. n Greed.O(n log n) interval scheduling. n Divide-and-conquer. O(n log n) FFT
Documents 1 Algorithm Design Patterns and Anti-Patterns Algorithm design patterns.Ex. n Greed.O(n log n) interval scheduling. n Divide-and-conquer. O(n log n) FFT

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