It presents numerical computation results of the refraction of a plane shock wave at the different interfaces. The unsteady, two-dimensional, compressible, Euler equations are solved numerically assuming stiffened gas equation of state. The numerical method used is PPM (Piecewise Parabolic Method) method for multi-component. On basis of solving the Riemann problem using two-shock approximation the interface can be determined by computing the volume-fraction in terms of the high-order PPM method in the whole computational field. This method is also used to compute some case of the inter-action when the shock wave meets the interfaces of the different fluids. It also gives the evolvement of interfaces due to baroclinic effects on the interface, especially in the cases of strong shock striking at the interfaces.

The differences of space distributions and time profiles between the γ-ray and proton induced showers in YBJ-ARGO experiment are studied using Monte Carlo simulation data.An artificial neural algorithm is used to identify the primary γ-ray and proton induced showers.It is shown that the separation of γ-rays and protons can be achieved with a good efficiency in the energy range of 0.1~10 TeV.

A finite difference method in non-orthogonal curvilinear coordinate is used for the simulation of two dimensional electrostatic field. The computational formula is derived. Several electrostatic problems are calculated. The results show that numerical meshes fit the complex boundary well and higher accuracy can be got by less numerical discrete cells.

Deconvolution methods based on the pulse compression principle are analyzed,and a more generalized l_p-norm criterion for wide use is proposed,which in cludes as special cases pulse deconvolution,minimum-entropy deconvolution l_t-norm deconvolution and D-norm deconvolution.According to the p-norm properties of the finite-dimensional space and the geometric properties of the higher-dimensional space,an analysis is made on the effect of the parameters in the generalized l_p-norm method,and a criterion function is designed to compare pulse compression of different methods.It is also theoretically proved why for nonminimum-phase signals the l₁-norm approach yields better pulse compression than pulse deconvolution,and why the D-norm approach has more "simplicity" than general minimum-entropy methods.New deconvolution methods can be readily constructed,and analyzed,by use of this generalized l_p-norm criterion.The results provide a better understanding of the role these deconvolution methods play in enhancing the resolution and the theoretical basis for further study of the optimal pulse compression criterion and the algorithms to find its optimal solution in deconvolution.

In this paper,the recurrence formulae for solving partitioning Toeplitz matrix equations are given,and are used in artificial model experiment. Experimental results show that multichannel deconvolution has advantage over single-channel deconvolution. In addition. we defined the meannign of multichannel minimum phase, and verified the definitive stability under one-step prediction case.