Kernel methods have achieved very good performance on large scale regression and classification problems by using the Nystrom method preconditioning techniques. The approximation---base...

The sampling Kaczmarz–Motzkin (SKM) method is a generalization of the randomized Kaczmarz and Motzkin method. It first samples some rows coefficient matrix randomly to build set then makes use maximum violation criterion within this determine constraint. Finally, it progress by enforcing single In paper, based on SKM block strategies, we present two methods for consistent linear systems. Specif...

Enhanced sampling algorithms have emerged as powerful methods to extend the utility of molecular dynamics simulations and allow larger portions configuration space complex systems in a given amount simulation time. This review aims present unifying principles differences between many computational currently used for enhanced biomolecules, soft matter crystals. In fact, despite apparent abundanc...