The article discusses a method called quasi-Monte Carlo, which is a more precise version of the well-known Monte Carlo method. By using a specific selection process instead of random sampling, this method can estimate extreme values of functions more accurately. Quasi-Monte Carlo methods can provide error estimates before calculations, which are often better than traditional Monte Carlo methods. These techniques have been successfully used for numerical integration and solving integral equations.