  In this paper, we introduce a new kernel function which differs from previous
functions, and play an important role for generating a new design of
primal-dual interior point algorithms for semidefinite linear complementarity
problem. Its properties, allow us a great simplicity for the analysis of
interior-point method, therefore the complexity of large-update primal-dual
interior point is the best so far. Numerical tests have shown that the use of
this function gave a big improvement in the results concerning the time and the
number of iterations. so is well promising and perform well enough in practice
in comparison with some other existing results in the literature.

Numerical Analysis;Numerical Analysis;Optimization and Control