The non-native snakes are overrunning Florida and must be eliminated. Fashion designers are determined to make sure their ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Secondly, a data–driven stochastic projected simplex algorithm is developed to solve the power optimization sub-problems. The proposed algorithm can increase the power output of the wind farm by using ...

In this paper, a novel modified optimization algorithm is presented, which combines Nelder-Mead (NM) method with a gradient-based approach. The well-known Nelder Mead optimization technique is widely ...

A new approach to solving optimization problems in the field of machine learning is considered. The greatest complexity among such problems is the problem of gradient search for the optimum on the ...

TODO Maximization problems Right now the application only supports minimization problems, since those were the only given benchmarks. Adding more flags to the user shell The user shell has to be more ...