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 ...

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 ...

An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...

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 ...

C++ & Java implementations of 6 algorithm problems — tromino tiling, knight's tour, Tower of Hanoi (4-peg), knight swap, target shooting, and lattice coverage — using Divide & Conquer, Greedy, BFS, ...

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 ...