'Brute force solution' presentation slideshows

Dynamic Programming (DP)

Dynamic Programming (DP). Like divide-and-conquer, solve problem by combining the solutions to sub-problems. Differences between divide-and-conquer and DP: Independent sub-problems, solve sub-problems independently and recursively , (so same sub(sub)problems solved repeatedly )

920 views • 47 slides

Searching Algorithms

Searching Algorithms. Briana B. Morrison With thanks to Dr. Hung. Topics. The searching problem Using Brute Force Lower Bounds Interpolation Search Searching in Trees Hashing Finding the k-th largest key. The searching problem .

764 views • 45 slides

Dynamic Programming

Dynamic Programming. 2012/11/20. Dynamic Programming (DP). Dynamic programming is typically applied to optimization problems . Problems that can be solved by dynamic programming satisfy the principle of optimality . Principle of optimality.

690 views • 43 slides

Brute Force

362 views • 28 slides

Longest Common Subsequence (LCS)

Longest Common Subsequence (LCS) . Problem : Given sequences x[1..m] and y[1..n], find a longest common subsequence of both. Example : x=ABC BDAB and y= BD C AB A, BCA is a common subsequence and BCBA and BDAB are two LCSs. LCS. Brute force solution Writing a recurrence equation

836 views • 13 slides

Longest Common Subsequence (LCS)

Longest Common Subsequence (LCS). ??? (Roger Jang) jang@mirlab.org http://mirlab.org/jang ?????????? ???? ?????. Longest Common Subsequence. Subsequence Given a string, we can delete some elements to form a subsequence: s1=uvwxyz ? s2=uwyz (after deleting v and x)

136 views • 8 slides