'Divide conquer' presentation slideshows

Divide and Conquer Algorithms

1.1k views • 67 slides

CSCE 411 Design and Analysis of Algorithms

CSCE 411 Design and Analysis of Algorithms. Set 3: Divide and Conquer Slides by Prof. Jennifer Welch Spring 2014. General Idea of Divide & Conquer. Take your problem and divide it up into smaller pieces Solve one or more of the smaller problems Combine solutions to subproblems.

656 views • 54 slides

CSCE 411 Design and Analysis of Algorithms

CSCE 411 Design and Analysis of Algorithms. Set 3: Divide and Conquer Prof. Jennifer Welch Fall 2014. General Idea of Divide & Conquer. Take your problem and divide it up into smaller pieces Solve one or more of the smaller problems Combine solutions to subproblems.

675 views • 53 slides

LECTURE 8: Divide and conquer

616 views • 44 slides

Ibis: A Java-based grid programming environment

vrije Universiteit. Ibis: A Java-based grid programming environment. Vrije Universiteit Amsterdam. Henri Bal. Orca 1985-1997 Object-based parallel computing. Manta 1997-2002 High-performance parallel Java. Albatross 1996-2002 Wide-area parallel computing. +.

509 views • 41 slides

CSCE 411H Design and Analysis of Algorithms

CSCE 411H Design and Analysis of Algorithms. Set 3: Divide and Conquer Prof. Evdokia Nikolova* Spring 2013. * Slides adapted from Prof. Jennifer Welch. General Idea of Divide & Conquer. Take your problem and divide it up into smaller pieces Solve one or more of the smaller problems

512 views • 41 slides

A simple scheduling problem

A simple scheduling problem. Consider the following problem: given a processor and a set of n tasks, each with a known time requirement, determine how to schedule the tasks so that the sum of the completion times is minimized.

585 views • 40 slides

Ch 3

Ch 3. Dynamic Programming ( ???? ). Dynamic Programming. ???????????????????? ?? Divide & Conquer ????? ????????????? Bottom-up. Fibonacci Sequence. f 0 =1 f 1 =1 f n =f n-1 +f n-2 for n>=2. T(n) > 2 n/2. Fibonacci Sequence. ??? 1.6(Divide & Conquer). Fibonacci Sequence.

632 views • 39 slides

Dynamic programming

Dynamic programming. Binhai Zhu Computer Science Department, Montana State University. Idea. You have a large problem to solve, you can divide the problem into smaller sub-problems

360 views • 35 slides

DYNAMIC PROGRAMMING

DYNAMIC PROGRAMMING. Dynamic Programming is an algorithm design technique for optimization problems: often minimizing or maximizing. Solves problems by combining the solutions to subproblems that contain common sub-sub-problems. Introduction.

759 views • 33 slides

Optimizing Data Warehouse Loads via Parallel Pro-C and Parallel/Direct-Mode SQL

Optimizing Data Warehouse Loads via Parallel Pro-C and Parallel/Direct-Mode SQL. Bert Scalzo, Ph.D. Bert.Scalzo@Quest.com. About the Author. Oracle DBA from 4 through 10g Worked for Oracle Education Worked for Oracle Consulting Holds several Oracle Masters

444 views • 32 slides

Optimizing Data Warehouse Loads via Parallel Pro-C and Parallel/Direct-Mode SQL

Optimizing Data Warehouse Loads via Parallel Pro-C and Parallel/Direct-Mode SQL. Bert Scalzo, Ph.D. Bert.Scalzo@Quest.com. About the Author. Oracle DBA from 4 through 10g Worked for Oracle Education Worked for Oracle Consulting Holds several Oracle Masters

398 views • 32 slides

Lecture 33

324 views • 32 slides

319 views • 22 slides

CSC 421: Algorithm Design & Analysis Spring 2013

CSC 421: Algorithm Design & Analysis Spring 2013. Dynamic programming top-down vs. bottom-up divide & conquer vs. dynamic programming examples: Fibonacci sequence, binomial coefficient examples: World Series puzzle, Floyd's algorithm top-down with caching example: making change

376 views • 21 slides

CSC 421: Algorithm Design & Analysis Spring 2014

CSC 421: Algorithm Design & Analysis Spring 2014. Divide & conquer divide-and-conquer approach familiar examples: merge sort, quick sort other examples: closest points, large integer multiplication tree operations: binary trees, BST. Divide & conquer.

314 views • 19 slides

CSC 421: Algorithm Design & Analysis Spring 2013

CSC 421: Algorithm Design & Analysis Spring 2013. Divide & conquer divide-and-conquer approach familiar examples: merge sort, quick sort other examples: closest points, large integer multiplication tree operations: binary trees, BST. Divide & conquer.

193 views • 19 slides

CSC 427: Data Structures and Algorithm Analysis Fall 2007

CSC 427: Data Structures and Algorithm Analysis Fall 2007. Dynamic programming top-down vs. bottom-up divide & conquer vs. dynamic programming examples: Fibonacci sequence, binomial coefficient caching examples: making change, minimal edit distance problem-solving approaches summary.

176 views • 17 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