PPT-Analysis of Algorithms CS 1037a – Topic 13

Overview Time complexity exact count of operations Tn as a function of input size n complexity analysis using O bounds constant time linear logarithmic exponential complexities. We then consider the complications introduced by the introduction of parallelism and look at some proposed parallel frameworks Analysing Sequential Algorithms The design and analysis of sequential algorithms is a well developed 64257eld with a large 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . Rochelle Terman. Social Computing Working Group. Feb 27, 2015. https://github.com/rochelleterman/worlds-women. Lifecycle. Frame research question. Acquire text data. Preprocess. Analyze. Visualize + Interpret. Hasan T Karaoglu. Outline. Introduction. Previous Work. Meme Tracking and News Cycles Presentation by Jure . Leskovic. Data Collection. Introduction. Traditional News . Who is the source ?. . iReport.com. Keyang. He. Discrete Mathematics. Basic Concepts. Algorithm . – . a . specific set of instructions for carrying out a procedure or solving a problem, usually with the requirement that the procedure terminate at some point. 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . ChengXiang. . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. 1. Search is a means to the end of finishing a task . Decision Making. Norton Field Guide . . “Literary analyses are essays in which we examine literary texts closely to understand their messages, interpret their meanings, and appreciate their writers’ techniques” (81).. Algorithm. Input. Output. 1. Analysis of Algorithms. How long does this take to open 1) know 2) don’t know. . Analysis of Algorithms. 2. If know combination O(n) . where n is number of rings. . If the alphabet is size m, O(nm). Instructor: Arun Sen. Office: BYENG . 530. Tel: 480-965-6153. E-mail: asen@asu.edu. Office Hours: . MW 3:30-4:30 or by appointment. TA: . TBA. Office. : TBA. Tel: . TBA. E-mail: . TBA. Office Hours. : . 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 1. Brute Force. A straightforward approach, usually based . directly. on the problem’s . statement and . definitions. . of the concepts involved. Examples – based directly on definitions:. Computing . 1. Decrease-and-Conquer. Reduce . original problem . instance to . smaller . instance . of the same problem. Solve smaller . instance. Extend solution . of smaller . instance . to obtain solution to original instance. Readings: [SG] Ch. 3. Chapter Outline:. Attributes of Algorithms. Measuring Efficiency of Algorithms. Simple Analysis of Algorithms. Polynomial vs Exponential Time Algorithms. Efficiency of Algorithms .