The estimation of a random vector with independent components passed through a linear transform followed by a componentwise (possibly nonlinear) output map arises in a range of applications.

In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The field of ...

Shriram Finance will continue to offer: 0.50% p.a. additional interest for senior citizens 0.05% p.a. additional benefit for women depositors (revised) 0.15% p.a. additional interest on renewal of ...

A 2D incompressible Navier-Stokes solver for the classic lid-driven cavity problem, implemented with finite difference method, Runge-Kutta time integrator, and projection method for pressure. Python ...