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 ...

PROC NETFLOW solves network problems that can have side constraints. Certain algebraic features of networks are exploited by a specialized version of the Simplex method so that solution times are ...

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 ...