Static program analysis is a cornerstone in verifying, optimising, and debugging modern software systems. By evaluating code without executing it, these techniques enable early detection of defects, ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Artificial intelligence has become a back-office powerhouse and essential resource for sifting through data, optimizing processes, and automating the repetitive. But as AI tools become more accessible ...

Predictor-corrector algorithm for linear programming, proposed by Mizuno et al. becomes the best well known in the interior point methods. The purpose of this paper is to extend these results in two ...