Solving the Subset Sum Problem using Dynamic Programming in Java

Solving the Subset Sum Problem using Dynamic Programming in Java

Solving the Subset Sum Problem using Dynamic Programming in Java. How to solve Subset Sum Problem using Dynamic Programming in Java. We can use dynamic programming to save time and get best performance.

Subset sum problem is a common interview question asked during technical interviews for the position of a software developer.

It is also a very good question to understand the concept of dynamic programming.### ubset Sum Problem Statement

The problem statement is as follows :

Given a set of positive integers, and a value sum S, find out if there exists a subset in the array whose sum is equal to given sum S

An array B is the subset of array A if all the elements of B are present in A. Size of the subset has to be less than or equal to the parent array.

Let’s take an example :

A = { 3, 2, 7, 1}, Sum = 6

Output: True

In this case the subarray {3, 2, 1} gives the sum 6. Hence we output true.

data structure and algorithms java

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Fundamental Data Structures & Algorithms in Java Programming | Simpliv

Simpliv is aware that the animated, visual and spatial way is the best means to learn data structures and algorithms. This is why Simpliv’s course on data structures and algorithms is visual, adding fun and interactivity into your learning.

How to Install OpenJDK 11 on CentOS 8

What is OpenJDK? OpenJDk or Open Java Development Kit is a free, open-source framework of the Java Platform, Standard Edition (or Java SE).

Data Structures and Algorithms Journey

This particular concept is identified as one of the most important concepts in software engineering, and that became a primary checkpoint for most of the top-level companies.

Why Data Scientists Should Learn Algorithms and Data Structures?

Understanding concepts such as algorithmic complexity and proper use of data structures will enable you to write more optimal code. I will list a few tools you will have under your tool-belt after taking a typical algorithms course.

Max Heap Data Structure Implementation in Java - JournalDev

In this tutorial, we will cover everything you need to know to implement max heaps in java from scratch. A max heap is a complete binary tree in which the value of a node is greater than or equal to the values of its children. Max Heap data structure is useful for sorting data using heap sort.