Dynamic Programming is a paradigm of algorithm design in which an optimization problem is solved by a combination of achieving sub-problem solutions and appearing to the "principle of optimality".

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

This repository provides implementations and theoretical explanations of fundamental data structures and algorithms in C++. It serves as a comprehensive resource for learners and developers, featuring ...

Using a sequence of steps to solve a problem. Scientific applications, forecasting, decision making, quantum computing and AI use algorithms routinely. Computer programming is used to implement ...

We present a dynamic programming-based heuristic algorithm for selecting the next task of in-process cars in automotive assembly plants. As car production demand diversifies, manufacturing processes ...

View on Coursera Course Description. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving ...

We have explored educational methods for algorithmic thinking conceptual modeling for novices and implemented a block programming editor and a simple learning management system. This system has been ...