Least Squares Monte Carlo

Least squares Monte Carlo prices early-exercise options by simulating paths forward, then regressing future payoffs on current state to estimate the continuation value at each step. It solved the long-standing problem that simulation runs forward while exercise decisions require working backward. The estimate is biased by the choice of regression basis functions, so production implementations test convergence against a lattice wherever one exists.