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Tagged: Dynamic Programming

2D Matrix with Obstructions in it"> g6774 1

2D Matrix with Obstructions in it">Dynamic Programming — Count all paths in 2D Matrix with Obstructions in it

Objec­tive: Given two dimen­sional matrix, write an algo­rithm to count all pos­si­ble paths from top left cor­ner to bottom-right cor­ner. You are allowed to move only in two direc­tions, move right OR move down.…

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Dynamic Programming — Highway Billboard Problem

Objec­tive:  Sup­pose you’re man­ag­ing con­struc­tion of bill­boards on the Rocky & Bull­win­kle Memo­r­ial High­way, a heav­ily trav­eled stretch of road that runs west-east for M miles. The pos­si­ble sites for bill­boards are given by…

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Dynamic Programming — Maximum Subarray Problem

Objec­tive:  The max­i­mum sub­ar­ray prob­lem is the task of find­ing the con­tigu­ous sub­ar­ray within a one-dimensional array of num­bers which has the largest sum. Exam­ple: int [] A = {−2, 1, −3, 4, −1, 2, 1, −5,…

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Dynamic Programming — Longest Palindromic Subsequence

Objec­tive: Given a string, find a longest palin­dromic sub­se­quence in it. What is Longest Palin­dromic Sub­se­quence: A longest palin­dromic sub­se­quence is a sequence that appears in the same rel­a­tive order, but not nec­es­sar­ily contiguous(not substring)…

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Dynamic Programming — Longest Common Subsequence

Objec­tive: Given two string sequences, write an algo­rithm to find the length of longest sub­se­quence present in both of them. These kind of dynamic pro­gram­ming ques­tions are very famous in the inter­views like Ama­zon, Microsoft,…

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The Word Break Problem

Objec­tive : Given an string and a dic­tio­nary of words, find out if the input string can be bro­ken into a space-separated sequence of one or more dic­tio­nary words. Exam­ple: dic­tio­nary = [“I” , “have”,…

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Dynamic Programming — Longest Increasing Subsequence

Objec­tive: The longest Increas­ing Sub­se­quence (LIS) prob­lem is to find the length of the longest sub­se­quence in a given array such that all ele­ments of the sub­se­quence are sorted in increas­ing order. OR Given a…

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Dynamic Programming — Minimum Coin Change Problem

Objec­tive: Given a amount ‘A’ and n coins,   v1<v2<v3<.….……<vn . Write a pro­gram to find out min­i­mum num­bers of coins required to make the change for the amount ‘A’. Exam­ple: Amount: 5 Coins []…

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Count All Paths from Top left to bottom right in Two Dimensional Array including Diagonal Paths

Objec­tive: Count all the paths from left top cor­ner to right bot­tom cor­ner in two dimen­sional array. Input: Two Dimen­sional array Out­put: No of paths. Approach : 1. Recur­sive Recur­sive solu­tion to this prob­lem is…