'Case complexity' diaporamas de présentation

Instructor: Shengyu Zhang

CSC3160: Design and Analysis of Algorithms. Week 1: Introduction. Instructor: Shengyu Zhang. First week. Part I: About the course Part II: About algorithms What are algorithms? Why are they important to study? Part III: About complexity What is the complexity of an algorithm / a problem

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Discrete Math CS 2800

Discrete Math CS 2800. Prof. Bart Selman selman@cs.cornell.edu Module Algorithms and Growth Rates. The algorithm problem. Any legal input. Specification of all legal inputs. and. The algorithm. Specification of desired output as a function of the input. The desired output.

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The SLAM Project: Debugging System Software via Static Analysis

The SLAM Project: Debugging System Software via Static Analysis. Thomas Ball Sriram K. Rajamani Microsoft Research http://research.microsoft.com/slam/. Thanks To. Sagar Chaki (CMU) Satyaki Das (Stanford) Rupak Majumdar (UC Berkeley) Todd Millstein (U. Washington) Robby (KSU)

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The SLAM Project: Debugging System Software via Static Analysis

The SLAM Project: Debugging System Software via Static Analysis. Thomas Ball Sriram K. Rajamani Microsoft Research http://research.microsoft.com/slam/. Thanks To. Sagar Chaki (CMU) Satyaki Das (Stanford) Rupak Majumdar (UC Berkeley) Todd Millstein (U. Washington) Robby (KSU)

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IT 301: Algorithm Analysis Lecture-00

Jesmin Akhter Lecturer,IIT Jahangirnagar University, Savar , DhakaBangladesh. IT 301: Algorithm Analysis Lecture-00. Course Overview. Algorithmic Basics: Introduction(L00) Algorithm analysis(L01) Techniques for analysis of Algorithm(L02+L03).

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Applications of Convex Optimization in Systems and Control

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RAIK 283: Data Structures & Algorithms

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Searching, Sorting, and Asymptotic Complexity

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i206: Lecture 7: Analysis of Algorithms, continued

i206: Lecture 7: Analysis of Algorithms, continued. Marti Hearst Spring 2012. Algorithms. A clearly defined procedure for solving a problem. A clearly described procedure is made up of simple clearly defined steps. The procedure can be complex, but the steps must be simple and unambiguous.

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CSE 202 - Algorithms

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What is an Algorithm? (And how do we analyze one?)

What is an Algorithm? (And how do we analyze one?). Input. Algorithm. Output. Algorithms. Informally , A tool for solving a well-specified computational problem. Example: sorting input: A sequence of numbers. output: An ordered permutation of the input.

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Lecture 11

Lecture 11. Dictionary . Dictionary: Dynamic-set data structure for storing items indexed using keys . Supports operations Insert, Search, and Delete . Applications: Symbol table of a compiler. Memory-management tables in operating systems. Large-scale distributed systems.

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Chapter 4 Algorithmic Foundation of Computer Science

Chapter 4 Algorithmic Foundation of Computer Science. What is an algorithm?. Example:. ingredients. software. hardware. Baking a cake. oven baker. recipe. cake. Software : algorithm. What is an algorithm?. Formal definitions:

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8. Comparison of Algorithms

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The Growth of Functions

The Growth of Functions. The growth of functions is usually described using the big-O notation . Definition: Let f and g be functions from the integers or the real numbers to the real numbers. We say that f(x) is O(g(x)) if there are constants C and k such that |f(x)| ? C|g(x)|

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Renata Glowka, R EEG T. R PSG T Michael JM Raffin, Ph.D. Jagruti Patel, CNIM, R EEG T Micheal Macken, MD Gregory Gruener

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A Brief Introduction To The Theory of Computer Science and The PCP Theorem

Faculty of Mathematics and Computer Science The Weizmann Institute of Science. A Brief Introduction To The Theory of Computer Science and The PCP Theorem. By Dana Moshkovitz. Learning. Software Engineering. Computational Geometry. Bio-informatics. Networks. Where Are We?.

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Bailing Out: Bail and the Use of Remand in Canada

Bailing Out: Bail and the Use of Remand in Canada. Dr. Nicole Marie Myers University of Ontario Institute of Technology 4 October 2013. Imprisonment Rates (Total, Federal and Provincial) in Canada from 1958 to 2010.

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CS 326 A: Coordination of Multiple Robots

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Time Analysis

Time Analysis. Since the time it takes to execute an algorithm usually depends on the size of the input, we express the algorithm's time complexity as a function of the size of the input

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