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, using Monte Carlo simulation, convex optimization, and value function approximation to compute optimal policies across time and wealth levels.