Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

This repository contains comprehensive implementations of algorithms from the classic textbook "Fundamentals of Computer Algorithms" (Second Edition) by Ellis Horowitz, Sartaj Sahni, and Sanguthevar ...

In recent years, the prospect of real-world quantum computing has raised hopes for solving hard combinatorial optimisation problems, leading to tremendous theoretical work on developing and analysing ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

Dynamic Programming (DP) is a powerful optimization technique used in computer science and mathematics to solve problems that can be broken down into smaller overlapping subproblems. It is ...

Whether you're a seasoned professional or an aspiring tech enthusiast, a good understanding of DSA (Data Structures and Algorithms) is crucial in acing coding interviews. These are the building blocks ...

Abstract: This paper aims at comparing the serial, shared memory parallelization, and distributed memory parallelization of the dynamic programming algorithm for the Knapsack Problem. Knapsack Problem ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...