Tools for Computational Finance

Basic principles underlying the transactions of financial markets are tied to probability and statistics. Accordingly it is natural that books devoted to mathematical finance are dominated by stochastic methods. Only in recent years, spurred by the enormous economical success of financial derivatives, a need for sophisticated computational technology has developed. For ex­ ample, to price an American put, quantitative analysts have asked for the numerical solution of a free-boundary partial diff