'Brute force method' presentation slideshows

Example Algorithms

968 views • 72 slides

Clipping

2.16k views • 59 slides

Raster Display Model

Raster Display Model. Pixel (Picture Element, ?? ). ?????? pixels?. Scan Conversion Lines. DDA (Digital Differential Analyzer) Bresenham Algorithm Midpoint Algorithm Double-step Algorithm. /* x0 <= x1 and y0 <= y1 */ void Line (x0,y0,x1,y1,c) int x0,y0,x1,y1,c; {

710 views • 50 slides

Chapter 6

Chapter 6. Prune-and-Search. A simple example: Binary search. sorted sequence : (search 9) 1 4 5 7 9 10 12 15 step 1 ? step 2 ? step 3 ? After each comparison, a half of the data set are pruned away .

539 views • 45 slides

Effective Keyword Based Selection of Relational Databases

Effective Keyword Based Selection of Relational Databases. Bei Yu, Guoliang Li, Karen Sollins, Anthony K.H Tung. Overview. What is unstructured retrieval? This is retrieving data from documents like journals, articles etc. What is structured retrieval?

584 views • 40 slides

Sequential System Synthesis -- Incompletely Specified Machines

Sequential System Synthesis -- Incompletely Specified Machines. Outline. Incompletely Specified Machine (ISM) State Minimization for ISM Brute Force Method Compatible, Maximal, Prime, Class Set Algorithm for ISM State Minimization Find all pairs of compatible states

508 views • 39 slides

Chapter 8, Part II

Chapter 8, Part II. Graph Algorithms. Minimum Spanning Tree. The minimum spanning tree (MST) of a weighted connected graph is a subgraph that contains all of the nodes of the original graph and a subset of the edges so that: The subgraph is connected

409 views • 35 slides

Detecting Subtle Sequence Signals: a Gibbs Sampling Strategy for Multiple Alignment

908 views • 32 slides

Dynamic Programming

Dynamic Programming. Reading Material: Chapter 7 Sections 1 - 4 and 6. Dynamic Programming.

678 views • 28 slides

Section 1.4: Hamiltonian Circuits

Math for Liberal Studies. Section 1.4: Hamiltonian Circuits. A New Kind of Problem. A postal worker needs to take several packages from the post office, deliver them to the four locations shown on the map, and then return to the office. A New Kind of Problem.

440 views • 28 slides

AND

AND. Active Learning Lecture Slides For use with Classroom Response Systems Chapter 14 Graph Theory. In the following graph, determine an Euler circuit. a. CBAECDA b. CBAECDAC c. EABCDA d. AEABCD. In the following graph, determine an Euler circuit. a. CBAECDA b. CBAECDAC c. EABCDA

427 views • 28 slides

Dynamic Programming

Dynamic Programming. JinJu Lee & Beatrice Seifert CSE 5311 Fall 2005 Week 10 (Nov 1 & 3). Contents. Max Flow Min Cut Theorem Edmond-Karp-Algorithm Bipartite Graph Matching Problem Dynamic Programming Paradigm - Fibonacci Sequence - Longest Common Subsequence Problem

732 views • 26 slides

Announcements

385 views • 25 slides

Orbit distortion and correction

411 views • 19 slides

Graph Partitioning

Graph Partitioning. Problem Kernighan and Lin Algorithm Presentation based on http://www.comp.nus.edu.sg/~cs5234/2007-08/Lectures/L06/L06-Graph-Partitioning.ppt. Sparse Matrix partitioning. Graph Segmentation. To partition N into 2 k parts

615 views • 18 slides

Regression testing

Regression testing. W. Erick Rogers Oceanography Division Naval Research Laboratory Stennis Space Center, MS. The WAVEWATCH III Team + friends Marine Modeling and Analysis Branch NOAA / NWS / NCEP / EMC NCEP.list.WAVEWATCH@NOAA.gov NCEP.list.waves@NOAA.gov. Outline.

381 views • 17 slides

String Matching Using the Rabin-Karp Algorithm

String Matching Using the Rabin-Karp Algorithm. Katey Cruz CSC 252: Algorithms Smith College 12.12.2000. Outline. String matching problem Definition of the Rabin-Karp algorithm How Rabin-Karp works A Rabin-Karp example Complexity Real Life applications Acknowledgements.

1.23k views • 14 slides

Advanced dynamic models

Advanced dynamic models. Martin Ellison University of Warwick and CEPR Bank of England, December 2005. Impulses. Propagation. Fluctuations. More complex models. Frisch-Slutsky paradigm. Impulses. Can add extra shocks to the model. Shocks may be correlated. Propagation.

262 views • 14 slides

222 views • 11 slides

Artificial Intelligence

Artificial Intelligence 19 th Century Novel Frankenstein Philosophical Questions:

370 views • 5 slides