'Optimal substructure' presentation slideshows

CS 332: Algorithms

2.54k views • 155 slides

CS 5263 Bioinformatics

1.07k views • 87 slides

Dynamic Programming (DP)

878 views • 71 slides

CS 3343: Analysis of Algorithms

CS 3343: Analysis of Algorithms. Lecture 17: Intro to Dynamic Programming. In the next few lectures. Two important algorithm design techniques Dynamic programming Greedy algorithm Meta algorithms, not actual algorithms (like divide-and-conquer) Very useful in practice

805 views • 66 slides

Algorithms Analysis lecture 11 Greedy Algorithms

Algorithms Analysis lecture 11 Greedy Algorithms. Greedy Algorithms. Activity Selection Problem Knapsack Problem Huffman Problem. Greedy Algorithms. Similar to dynamic programming, but simpler approach Also used for optimization problems

831 views • 55 slides

Dynamic Programming I

725 views • 52 slides

Dynamic Programming

806 views • 41 slides

CS 332 - Algorithms Dynamic programming 0-1 Knapsack problem

CS 332 - Algorithms Dynamic programming 0-1 Knapsack problem. Review: Dynamic programming. DP is a method for solving certain kind of problems DP can be applied when the solution of a problem includes solutions to subproblems We need to find a recursive formula for the solution

1.2k views • 39 slides

Dynamic Programming

602 views • 39 slides

DNA Fragment Assembly

DNA Fragment Assembly. CIS 667 Spring 2004 February 18. Objectives. The problem: DNA Fragment Assembly The ideal case The complications Models The Shortest Common Superstring Reconstruction Multicontig A greedy algorithm Heuristics. The Problem.

591 views • 39 slides

Tonga Institute of Higher Education Design and Analysis of Algorithms

Tonga Institute of Higher Education Design and Analysis of Algorithms. IT 254 Lecture 5: Advanced Design Techniques. Advanced Design Techniques. Other methods of design, like divide-and-conquer and randomization, can usually be applied to many problems.

511 views • 37 slides

UMass Lowell Computer Science 91.503 Analysis of Algorithms Prof. Giampiero Pecelli Fall, 2010

UMass Lowell Computer Science 91.503 Analysis of Algorithms Prof. Giampiero Pecelli Fall, 2010. Paradigms for Optimization Problems Dynamic Programming & Greedy Algorithms. Optimization.

428 views • 29 slides

Dynamic Programming

616 views • 28 slides

CSCI 3160 Design and Analysis of Algorithms Tutorial 4

CSCI 3160 Design and Analysis of Algorithms Tutorial 4. Fei Chen. Outline. Dynamic programming Chain Matrix Multiplication Longest increasing subsequence (LIS) Goal: help understand the lecture materials further. Dynamic programming.

426 views • 27 slides

CS 332: Algorithms

CS 332: Algorithms. NP Completeness. Administrivia. Homework 5 clarifications: Deadline extended to Thursday Dec 7 However, no late assignments will be accepted This is so that I can discuss it in class You may not work with others on this one. Review: Dynamic Programming.

349 views • 26 slides

CS 332: Algorithms

CS 332: Algorithms. NP Completeness. Review: Dynamic Programming. When applicable: Optimal substructure: optimal solution to problem consists of optimal solutions to subproblems Overlapping subproblems: few subproblems in total, many recurring instances of each Basic approach:

489 views • 21 slides

Greedy Algorithms

Greedy Algorithms. Data Structures and Algorithms A. G. Malamos. Introduction. Greedy algorithms build up a solution piece by piece, always choosing the next piece that offers the most obvious and immediate benefit. Although such an approach can be

693 views • 21 slides

CS 332: Algorithms

CS 332: Algorithms. Greedy Algorithms Continued. Administrivia. Hand in Homework 4 Hand back remaining midterms. Review: LCS Via Dynamic Programming . Longest common subsequence ( LCS ) problem: Given two sequences x[1..m] and y[1..n], find the longest subsequence which occurs in both

404 views • 21 slides

Longest Common Subsequence

344 views • 13 slides

CS 155, Programming Paradigms Fall 2014, SJSU design techniques

CS 155, Programming Paradigms Fall 2014, SJSU design techniques. Jeff Smith. Algorithm design techniques. Several classes of algorithms exist, based on that technique used for their design divide-and-conquer algorithms dynamic programming algorithms greedy algorithms

212 views • 10 slides