'Efficient data structure' presentation slideshows

Disjoint sets

Disjoint sets. Outline. In this topic, we will cover disjoint sets, including: A review of equivalence relations The definition of a Disjoint Set An efficient data structure A general tree An optimization which results in Worst case O (ln( n )) height

1.02k views • 80 slides

Improving 3-D processing: an efficient data structure and scale selection

783 views • 68 slides

Representing Data Elements

Representing Data Elements. Fields, Records, Blocks Variable-length Data Modifying Records. Source: our textbook. Overview. Attributes are represented by sequences of bytes, called fields Tuples are represented by collections of fields, called records

450 views • 27 slides

TD(0) prediction Sarsa , On-policy learning Q-Learning, Off-policy learning

TD(0) prediction Sarsa , On-policy learning Q-Learning, Off-policy learning. Actor-Critic. Unified View. N-step TD Prediction. Forward View. Random Walk. 19-state random walk. n-step method is simple version of TD( ? ) Example: backup average of 2-step and 4-step returns.

437 views • 27 slides

Algorithm Design and Analysis

L ECTURE 8 Greedy Algorithms V Huffman Codes. Algorithm Design and Analysis. CSE 565. Adam Smith. Review Questions. Let G be a connected undirected graph with distinct edge weights. Answer true or false: Let e be the cheapest edge in G. Some MST of G contains e?

339 views • 23 slides

Net- REpLAY : A NEW NETWORK PRIMITIVE

Net- REpLAY : A NEW NETWORK PRIMITIVE. Ashok Anand Aditya Akella University of Wisconsin, Madison. Network is a black box . This keeps network simple and efficient However, end hosts have to resort to complicated logic to infer the nature of glitches. Network. Black box view.

348 views • 21 slides

Convex Hull

549 views • 20 slides

Overview

253 views • 18 slides

Course Intructor Dr. Jianhua Ruan Presenters Husnu Narman Nihat Altiparmak

CS 6293 AT: Current Bioinformatics HW2 Papers 1. BLAT- -The BLAST-Like Alignment Tool 2. Classification of DNA sequences using Bloom Filters. Course Intructor Dr. Jianhua Ruan Presenters Husnu Narman Nihat Altiparmak. BLAT--The BLAST-Like Alignment Tool. W. James Kent (2002) UCSC

257 views • 13 slides

Mining Frequent Subgraphs

Mining Frequent Subgraphs. COMP 790-90 Seminar Spring 2011. FFSM: Fast Frequent Subgraph Mining -- An Overview:. How to solve graph isomorphism problem? A Novel Graph Canonical Form: CAM How to tackle subgraph isomorphism problem (NP-complete)? Incrementally maintained embeddings

252 views • 13 slides