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CSC 213 – Large Scale Programming. Today’s Goals Review discussion of merge sort and quick sort How do they work & why divide-and-conquer? Are they
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1 Heaps and Priority Queues Heap Definition and Operations Using Heaps –Heap sort –Priority queues Implementing heaps –With links –With arrays –Analysis
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4 -1 Chapter 4 The Divide-and-Conquer Strategy. 4 -2 A simple example finding the maximum of a set S of n numbers
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5 -1 Chapter 5 The Divide-and-Conquer Strategy. 5 -2 A simple example finding the maximum of a set S of n numbers
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CS216: Program and Data Representation University of Virginia Computer Science Spring 2006 David Evans Lecture 7: Greedy Algorithms
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Fall 2010Parallel Processing, Fundamental ConceptsSlide 2 3.1 Asymptotic Complexity Fig. 3.1 Graphical representation of the notions of asymptotic complexity
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Making Contribution-Aware P2P Systems Robust to Collusion Attacks Using Bandwidth Puzzles Vyas Sekar, Carnegie Mellon University Joint work with Michael
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1 CSE 373 Sorting 3: Merge Sort, Quick Sort reading: Weiss Ch. 7 slides created by Marty Stepp
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Recurrences David Kauchak cs161 Summer 2009. Administrative Algorithms graded on efficiency! Be specific about the run times (e.g. log bases) Reminder:
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N-body Models of Aggregation and Disruption Derek C. Richardson University of Maryland Derek C. Richardson University of Maryland
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9/5/06CS 6463: AT Computational Geometry1 CS 6463: AT Computational Geometry Fall 2006 Plane Sweep Algorithms and Segment Intersection Carola Wenk
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Complexity Theory CSE 331 Section 2 James Daly. Reminders Project 4 is out Due Friday Dynamic programming project Homework 6 is out Due next week (on
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