Dynamic programming is an algorithmic technique for efficiently solving problems with a recursive structure containing many overlapping subproblems.
I will be happy to get some help. I have the following problem: I'm given a list of numbers seq …
python recursion dynamic-programming memoization subset-sumI recently found a contest problem that asks you to compute the minimum number of characters that must be inserted (…
algorithm math dynamic-programming recurrenceI found from various online coding forums, there is a technique called "AC", which looks like "Dynamic Programming" or "Back …
dynamic-programming backtrackingThe following code is from Pathikrit's Dynamic Programming repository. I'm mystified by both its beauty and peculiarity. def subsetSum(s: …
scala dynamic-programming memoizationI have read these words: There are two key attributes that a problem must have in order for dynamic programming …
dynamic-programmingI have a problem related to the subset sum problem and am wondering if the differences make it easier, i.…
algorithm dynamic-programming np-complete subset-sumI have an array of n service stations D[] on a highway such that D[i] is the distance of …
algorithm dynamic-programming greedyConsider the problem described here (reproduced below.) Can some better known NP-complete problem be reduced to it? The problem: There …
algorithm language-agnostic complexity-theory dynamic-programming npI almost have my needleman-wunsch implementation working but I am confused on how to handle the traceback on a specific …
python algorithm dynamic-programming bioinformaticsThe code I have written solves the basic coin change problem using dynamic programming and gives the minimum number of …
c dynamic-programming coin-change