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 ...
The app that simplifies group expenses, Splitwise, has solved more than everyday problems. It has quietly reshaped how groups of people handle shared money. With a net valuation of over $100 million ...
Abstract: To address the problems of slow convergence, low search accuracy, and easy fall into local optimum, and generating a large number of infeasible solutions when solving the 0–1 Knapsack ...
Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...
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 ...
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, ...
Several optimization solvers inspired by quantum annealing have been recently developed, either running on actual quantum hardware or simulating it on traditional digital computers. Industry and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results