The article explores how mathematical tools can be used to design numerical algorithms for modeling derivatives in finance. It covers topics like probability distributions, stochastic calculus, and interest rate hedging. The researchers show how these tools can be applied to derive equations like the Black-Scholes equation for pricing options and HJM models for interest rate derivatives. They also discuss methods for solving these equations analytically and numerically.