Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing ...

Yu-hong Dai, Qin Ni, TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION, Journal of Computational Mathematics, Vol. 21, No. 3 (May 2003), pp. 311-320 ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

In this paper the generalized Newton's method for LC¹ unconstrained optimization is investigated. This method is an extension of Newton's method for the smooth optimization.

a. Supervised learning and unconstrained optimization: deep nets, trees, and kernels b. The tools in the warchest: first and second order methods c. Deep learning and engineering-focused first order ...

Optimization Methods in Data ScienceIEMS 351: Optimization Methods in Data Science VIEW ALL COURSE TIMES AND SESSIONS Prerequisites IEMS 303 and 313; programming course Description This course offers ...