JP

J Peng

14 records found

Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions

New design and analysis of interior point methods
Doctoral thesis (2001) - J Peng (author)

A new and efficient large-update interior-point method for linear optimization

Primal-dual proximity functions for linear optimization

New complexity analysis of the primal-dual method for semidefinite optimization based on the Nesterov-Todd direction

New complexity analysis of the primal-dual Newton method for linear optimization

A scaled Gauss-Newton primal-dual search direction for semidefinite optimization.

A strongly poynomial rounding procedure yielding a maximally complementary solution for P*(k) linear complementarity problems*

A logarithmic barrier approach to Fischer function

New complexity analysis of primal-dual Newton methods for P*(k) linear complementarity problems

A hybrid Josephy-Newton method for solving box constrained variational inequality problems via the D-gap function

A hybrid Newton method for solving the variational inequality problem via the D-gap function
Journal article (1999) - J Peng (author), M Fukushima (author)

A non-interior continuation method for generalized linear complementarity problems
Journal article (1999) - J Peng (author), Z Lin (author)

A simply constrained optimization reformulation of KKT systems arising from variational inequalities