Implements a simulation-based dynamic programming framework for optimal portfolio allocation over multiple periods. Combines analytical solutions with approximate methods under CRRA and log utility, ...

The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student. Traditional ...

A comprehensive comparison of 4 algorithms for solving the 0/1 Knapsack Problem: Greedy, Dynamic Programming, Branch & Bound, and Genetic Algorithm. Includes performance analysis, visualization, and ...

Common search algorithms (Sequest etc.) for mass spectrometry data are not designed for accurate site assignment; thus, additional algorithms are needed. In this paper, we propose a linear-time and ...