Dynamic programming is an algorithmic technique for efficiently solving problems with a recursive structure containing many overlapping subproblems.
UPDATED After more reading, the solution can be given with the following recurrence relation: (a) When i = 1 and j = 2, l(…
algorithm graph dynamic-programmingSuppose you are a thief and you invaded a house. Inside you found the following items: A vase that weights 3 …
algorithm dynamic-programming knapsack-problemI only know that by branch and bound, one can REDUCE the procedure to obtain a solution, but that only …
dynamic-programming branch-and-boundIs there any way of finding the longest common subsequence of two sequences in O(NlogN) time? I read somewhere …
algorithm dynamic-programming lcsI have been trying to understand Dynamic Programming, and what i understood is that there are two parts of DP. 1. …
algorithm data-structures dynamic-programmingThere is a grid of size N x M. Some cells are islands denoted by '0' and the others …
algorithm dynamic-programming mathematical-optimization linear-programming heuristicsTrying to program a DP solution for the general coin-change problem that also keeps track of which coins are used. …
java algorithm dynamic-programming coin-changeIs the classic Q-learning algorithm, using lookup table (instead of function approximation), equivalent to dynamic programming?
machine-learning dynamic-programming reinforcement-learning q-learningHere I have code which calculates the optimal value using the knapsack algorithm (bin packing NP-hard problem): int Knapsack::knapsack(…
c++ algorithm dynamic-programming knapsack-problemFrom LeetCode Given a string S and a string T, count the number of distinct subsequences of T in S. …
algorithm dynamic-programming