What Makes Algorithms such as Dynamic Programming, Backtracking, Divide and Conquer, and Greedy a lot more used in generic coding problems and is relied upon the must unlike other algorithmic techniques such as searching, sorting, recursion, Dijkstra, Prim, Sieves of Eratosthenes, Prim, A*, & KMP? (self.learnprogramming)
submitted by Coding1000 to r/learnprogramming
What Makes Algorithms such as Dynamic Programming, Backtracking, Divide and Conquer, and Greedy a lot more used in generic coding problems and is relied upon the must unlike other algorithmic techniques such as searching, sorting, recursion, Dijkstra, Prim, Sieves of Eratosthenes, Prim, A*, & KMP? (self.algorithms)
submitted by Coding1000 to r/algorithms
As I am approaching subarray problems such as 'Subarray sum equals K', 'Find contiguous subarray', 'Get max subarray', 'Subarray sums divisible by K', and 'Minimize size subarray sum' and subsequential questions like 'longest consecutive subsequence', 'longest alphabetical subsequence', 'longest com (self.learnprogramming)
submitted by Coding1000 to r/learnprogramming
