PPT-Lecture 9 Finding strongly connected components

Author : luanne-stotts | Published Date : 2018-11-26

We finished grading your midterms Grades to be posted after lecture This is the grade distribution Resembles a bell curve Large StdDev points unlikely to make

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Lecture 9 Finding strongly connected components: Transcript


We finished grading your midterms Grades to be posted after lecture This is the grade distribution Resembles a bell curve Large StdDev points unlikely to make a difference   What youd expect if we graded each question independently at random. 6 Nbits wide each Nmemory M words Random Access Memory RAM RAM Readable and writable memory Random access memory Strange name Created several decades ago to contrast with sequentiallyaccessed storage like tape drives Logically same as register file The algorithm processes any sequence of edge deletions in mn time and answers queries in constant time Previously such time bound has only been achieved by a randomized Las Vegas algorithm In addition to that a few decremental algorithms for maintai 006 Fall 2011 Lecture 1 Introduction and Peak Finding Lecture Overview Administrivia Course Overview Peak 64257nding problem 1D and 2D versions Course Overview This course covers E64259cient procedures for solving problems on large inputs Ex Lecture 1: Binary Pictures. Fall . 2015. Triangle surfaces. Polyline. Voxels. Curves. Surfaces. Geometric Forms. Continuous forms. Defined by mathematical functions. E.g.: parabolas, splines, subdivision surfaces. Grant: #90CO5013. Cook County Illinois. Recruitment and Kin Connection Project. Presentation outline . RKCP overview. Strategies for recruiting relatives and fictive kin. Concurrent Planning. RKCP Evaluation Overview. A Parallel Approach. C-STAR, IIIT Hyderabad. Meher Chaitanya . & Kishore . Kothapalli. Articulation Point. Let G = (V,E) be a connected undirected graph.. . Articulation . Point : . is any vertex of G whose removal results . Yubao. Wu. Ruoming. Jin. Xiaofeng. Zhu. Xiang Zhang. (EECS, CWRU). (CS. , . Kent State U). (EPBI, . CWRU). (EECS. , CWRU. ). Dual Biological . N. etworks. (a) protein interaction network. (b) genetic interaction network. Build using 123D from . AutoDesk. Nick Carter 5/7/2016. What is an Simulator?. An Engineering Simulator lets you build things and test them using computer models.. Games like Minecraft let you build computer models too.. INTEGRATING . SOURCES INTO . YOUR . WRITING. Five Key Elements. Topic Sentence. Transition and Introduce source. Context of example that is to follow. Example/Support. Discussion. Five Key Elements. Topic Sentence. 10 – Graph . & BFS & DFS. JJCAO. Graph Are Not. 2. Graphs. G = (V,E. ). V[G] = {1,2,3,4,5,6} |V| = 6. E[G] = {{1,2},{1,5},{2,5},{3,6}}. Note: . {. u,v. } = (. u,v. ) = (. v,u. ). (. u,v. ): . We finished grading your midterms!. Grades to be posted after lecture.. This is the grade distribution:. Resembles . a bell curve . Large . StdDev. – . points unlikely to make a difference.  . What you’d expect if we graded each question independently at random!. Sept 4, 2013. Clustering Via Persistent Homology. Creating a simplicial complex. Step 0.) Start by adding 0-dimensional vertices . (0-simplices). Creating a simplicial complex. 1. .) . A. dding . 1. Data Structures and Algorithms. CSE 373 19 SP - Kasey Champion. 1. Administrivia. We clarified Exercise 5 Problem [] to explicitly mention “worst-case”. CSE 373 SP 18 - Kasey Champion. 2. Administrivia. Lecture 3. Gene Finding and Sequence Annotation. Objectives of this lecture. Introduce you to basic concepts and approaches of gene finding. Show you differences between gene prediction for prokaryotic and eukaryotic genomes.

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