Furthermore, the computational complexity of the policy-iteration and simplex methods is superior to that of the only known strongly polynomialtime interior-point algorithm [Ye, Y. 2005.

Ilbin Lee, Marina A. Epelman, H. Edwin Romeijn, Robert L. Smith, Simplex Algorithm for Countable-State Discounted Markov Decision Processes, Operations Research, Vol ...

The original Nelder-Mead simplex algorithm is implemented and extended to boundary constraints. This algorithm does not compute the objective for infeasible points, but it changes the shape of the ...

Introduction to mathematical optimization and its applications, linear optimization models, Simplex Algorithm, sensitivity analysis, mixed-integer optimization models, branch-and-bound algorithm, ...

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

New Scientist takes a look at the simplex algorithm, now over 60 years old, which is used by everyone from fruit suppliers to banks to make decisions about non-linear problems with so many ...

Pricing Partners, the independent valuation expert and a world leader in mathematical models and analytics for derivatives and structured products, announced today that Simplex, a new optimization ...

Perold, André. "Exploiting Degeneracy in the Simplex Method." In Large Scale Linear Programming, edited by G. B. Dantzig, M. A. H. Dempster, and Markku Kallio ...