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GIT-OMSCS5

Dynamic Programming - 2.Longest Increasing Subsequence Longest Increainsg Subsequences (LIS) Longest increasing subsequence - Wikipedia In computer science, the longest increasing subsequence problem is to find a subsequence of a given sequence in which the subsequence's elements are in sorted order, lowest to highest, and in which the subsequence is as long as possible. This subsequence i en.wikipedia.org 한국어로는 '최장증가부분수열' or '최장증가수열'이라고 한다. 다음 예를 보.. 2020. 6. 29.
Dynamic Programming - 1. Fibonacci Numbers Fibonacci numbers Fibonacci number - Simple English Wikipedia, the free encyclopedia A Fibonacci spiral created by drawing a line through the squares in the Fibonacci tiling; this one uses squares of sizes 1, 1, 2, 3, 5, 8, 13, 21, and 34; see Golden spiral The Fibonacci numbers are a sequence of numbers in mathematics named after Leonardo simple.wikipedia.org 0,1,1,2,3,5,8,13,21,34,.... 여기서 중요한.. 2020. 6. 29.
Dynamic Programming Overview Dynamic Programming Overview Fibonacci numbers Longest incereasing subsequence (LIS) Longest common subsequence (LCS) Knapsack Chain matrix multiply Shortest Path Algorithms using DP 2020. 6. 29.
Course Outline - Intro to Algorithms Course Outline Dynamic Programming randomized Algorithms Divide and Conquer Graph Algorithms - Page Rank Alrorithms > Google's Search Engine uses it! Max-Flow Linear Programming NP-Completeness 2020. 6. 29.
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