Flux field calculation in time-dependent problems with Monte Carlo method and associated particles transportation equation are described.The random walk principle of time station sampling(TSS) method in dynamic system is introduced.A time station importance sampling(TSIS) method is developed and applied to decrease statistical fluctuation in global flux field calculation.Alternative importance function and its unbiased weight of modification are investigated.Numerical results and analyses on methods in specific model are given.The time station importance sampling(TSIS) biased method can be used to control statistical variance of global fine mesh flux adaptively in a same level.

This paper studies the Monte Carlo Technique for MORSE code. Three new techniques are added for transmitted probability calculation in spherical geometry. It extends the ability and reliability of MORSE code.

This is a short paper on some problems of Monte Carlo method development. The content consists of deep-penetration problems, unbounded estimate problems, limitation of Mdtropolis' method, dependency problem in Metropolis'method, random error interference problems and random equations, Intellectualization and vectorization problems of general software.

This is a short paper on the prospect of Monte Carlo genenal software. The content consists of cluster sampling method, zerovariance technique, self-improved method, and vectorized Monte Carlo method.