Department of Mechanical Engineering, University of Cape Town, Cape Town, South Africa This paper presents the exergy analysis and optimization of the Stirling engine, which has enormous potential for ...

A big part of AI and Deep Learning these days is the tuning/optimizing of the algorithms for speed and accuracy. Much of today’s deep learning algorithms involve the use of the gradient descent ...

Abstract: In this paper, a modified hybrid conjugate gradient method is proposed for solving unconstrained optimization problems and a new sufficient descent direction is proposed. The theoretical ...

Abstract: Blind equalization typically achieves parameter optimization through cost minimization using stochastic gradient descent in both batch and adaptive algorithms. In general, stochastic descent ...

The factoring of biprimes is proposed as a framework for exploring unconstrained optimization algorithms. A mapping from a given factoring problem to a positive degree four polynomial F is described.