Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

See "Nonlinear Optimization and Related Subroutines" for a listing of all NLP subroutines. See Chapter 11, "Nonlinear Optimization Examples," for a description of the inputs to and outputs of all NLP ...

We analyze the problem of finding the first basic solution in the two phases simplex algorithm. Also, a modification and several improvements of the simplex method are introduced. We report ...

This is a preview. Log in through your library . Abstract In this paper, a modification of the bisection simplex method is made for more general purpose use. Organized in an alternative simpler form, ...