Game Rant

10 4X Strategy Games With The Steepest Learning Curves, Ranked

Gerardo is a marketing major and copywriter with over 4 years of experience. He fell in love with gaming as a toddler when his maternal grandmother bought him a Nintendo NES. Ever since then, he ...
IEEE

Investigating the Performance of Steepest Descent, Newton-Raphson, and Fletcher-Reeves Approaches in Unconstrained Minimization Problems

Abstract: Different optimization approaches are explored to solve unconstrained minimization problems numerically in this paper. A classic optimization problem i.e., the Rosenbrock function is ...
Scientific Research Publishing

Fletcher, R. (1997) Practical Method of Optimization, Vol I: Unconstrained Optimization. 2nd Edition, Wiley, New York.

ABSTRACT: A hybrid method of the Polak-Ribière-Polyak (PRP) method and the Wei-Yao-Liu (WYL) method is proposed for unconstrained optimization pro- blems, which possesses the following properties: i) ...
IEEE

Steepest Descent Algorithms in Optimization with Good Convergence Properties

Abstract: There are interesting new algorithms which overcome the slow convergence near a minimum point of the standard steepest descent algorithm. For a convex quadratic function we have n-steps ...
Microsoft

Factoring as Optimization

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.