The Nelder-Mead simplex method does not use any derivatives and does not assume that the objective function has continuous derivatives. The objective function itself needs to be continuous.

The mission to improve the widely used simplex-method algorithm showed instead why it works so well.

Compared with Levenberg Marquardt, the local and initial value sensitive algorithm, Simplex, a global algorithm, is the only robust and easy method which is irrelevant to initial input value.

This paper presents an algorithm for the traffic assignment problem. The algorithm is characterized by the "origin-based" feature, which solves the user equilibrium flow that is restricted to a single ...

The branch-and-bound method with the revised dual simplex for bounded variables is very effective in solving relatively large-size integer linear programming problems. This paper, based on the general ...

YOU MIGHT not have heard of the algorithm that runs the world. Few people have, though it can determine much that goes on in our day-to-day lives: the food we have to eat, our schedule at work ...

New hifiasm-ONT assembly method delivers high-quality, cost-efficient near T2T assemblies using standard Oxford Nanopore Simplex reads, broadening access to comprehensive genome assemblies across ...