'Space complexity' presentation slideshows

Chapter 3 Best First Search

Chapter 3 Best First Search. Best First Search. So far, we have assumed that all the edges have the same cost, and that an optimal solution is a shortest path from the initial state to a goal state.

2.46k views • 128 slides

On Finding Repeats in Strings

On Finding Repeats in Strings. A Survey of Algorithms ??? 2004.09.29. I ? Problem Description. Repeat ? Recurrence of a pattern Aim: 1) Finding occurrence of repeated substrings in a string or a set of strings. 2) Finding a common structure/pattern

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Other Models of Computation

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Introduction to Algorithms: Verification, Complexity, and Searching

Introduction to Algorithms: Verification, Complexity, and Searching. Andy Wang Data Structures, Algorithms, and Generic Programming . Lecture Overview. Components of an algorithm Sequential search algorithms Binary search algorithms Proving algorithm correctness Computational complexity

996 views • 72 slides

Problem Solving by Search by Jin Hyung Kim Computer Science Department KAIST

Problem Solving by Search by Jin Hyung Kim Computer Science Department KAIST. Example of Representation. Euler Path. Graph Theory. Graph consists of A set of nodes : may be infinite A set of arcs(links) Directed graph, underlying graph, tree Notations

957 views • 69 slides

Algorithms

932 views • 65 slides

Heuristic Search

Heuristic Search. CMSC 100 Tuesday, November 4, 2008 Prof. Marie desJardins. Summary of Topics. What is heuristic search? Examples of search problems Search methods Uninformed search Informed search Local search Game trees. Building Goal-Based Intelligent Agents.

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Informed Search and Exploration

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How computers play games with you

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Chapter 1 Basic Concepts

Chapter 1 Basic Concepts. Overview: System Life Cycle Algorithm Specification Data Abstraction Performance Analysis Performance Measurement. Data Structures. What is the "Data Structure" ? Ways to represent data Why data structure ? To design and implement large-scale computer system

768 views • 48 slides

Sequence Alignment I Lecture #2

Sequence Alignment I Lecture #2. Background Readings : Gusfield, chapter 11. Durbin et. al., chapter 2.

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Uninformed Search

Uninformed Search. ECE457 Applied Artificial Intelligence Spring 2007 Lecture #2. Outline. Problem-solving by searching Uninformed search techniques Russell & Norvig, chapter 3. Problem-solving by searching. An agent needs to perform actions to get from its current state to a goal .

1.05k views • 30 slides

CSCE 3110 Data Structures & Algorithm Analysis

CSCE 3110 Data Structures & Algorithm Analysis. Rada Mihalcea http://www.cs.unt.edu/~rada/CSCE3110 Algorithm Analysis II Reading: Weiss, chap. 2. Last Time. Steps in problem solving Algorithm analysis Space complexity Time complexity Pseudo-code. Algorithm Analysis. Last time:

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SimRank: A Measure of Structural-Context Similarity

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THEORY OF COMPUTATION TOPIC:COMPLEXITY CLASSES SPACE COMPLEXITY SHESHAN SRIVATHSA

THEORY OF COMPUTATION TOPIC:COMPLEXITY CLASSES SPACE COMPLEXITY SHESHAN SRIVATHSA. Definition: Let M be a deterministic Turing Machine that halts on all inputs. Space Complexity of M is the function f:N ?N, where f(n) is the maximum number of tape cells that M scans on any input of length n.

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Buffering in Query Evaluation over XML Streams

Buffering in Query Evaluation over XML Streams. Ziv Bar-Yossef Technion Marcus Fontoura Vanja Josifovski IBM Almaden Research Center . XML Document. 1: < department > 2: < name > 3: Software Testing 4: </ name > 5: < employee id = 1 > 6: < name >

448 views • 24 slides

Matrices

Matrices. CSE, POSTECH. Special Matrices. A square matrix has the same number of rows and columns. Some special forms of square matrices are Diagonal : M(i,j) = 0 for i ? j Tridiagonal : M(i,j) = 0 for |i-j| < 1 Lower triangular : M(i,j) = 0 for i < j

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Topic9: Density-based Clustering

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ITCS 3153 Artificial Intelligence

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CMSC 203 / 0201 Fall 2002

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