3 papers
math.NA2026
Direct Finite-Time Contraction (Step-Log) Profiling--Driven Optimization of Parallel Schemes for Nonlinear Problems on Multicore Architectures
Mudassir Shams, Andrei Velichko, Bruno Carpentieri
Efficient computation of all distinct solutions of nonlinear problems is essential in many scientific and engineering applications. Although high-order parallel iterative schemes o…
math.NA2026
Optimizing Parallel Schemes with Lyapunov Exponents and kNN-LLE Estimation
Mudassir Shams, Andrei Velichko, Bruno Carpentieri
Inverse parallel schemes remain indispensable tools for computing the roots of nonlinear systems, yet their dynamical behavior can be unexpectedly rich, ranging from strong contrac…
cs.LG2025
Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization
Imen Mahmoud, Andrei Velichko
This study proposes a novel methodological framework integrating a LightGBM regression model and genetic algorithm (GA) optimization to systematically evaluate the contribution of…