We look for techniques that are efficient, accurate, and applicable. The search space could have any nature and could have discontinuity or multi-local optima. In this paper, we address this challenge ...

The general case of random walks, Markov chains, are extensively used in machine learning and Bayesian statistics. In short, random walks are a powerful backbone for many further algorithms. Quantum ...

By the example of parameter identification of SPICE-models of a semiconductor diode it was shown that it is impossible to obtain even a rough estimate of the models parameters while using standard ...

This project implements the PageRank algorithm, used by search engines to rank the importance of web pages. The algorithm determines the probability of a random internet user visiting a specific page, ...

Learn about the input validation, linear search, count occurrences, find maximum and find minimum algorithms covered within Higher Computing Science.