1 citations · 1 across the 2 of their papers we have counts for
3 papers
math.OC2020
Gradient and Hessian approximations in Derivative Free Optimization
Ian D. Coope, Rachael Tappenden
This work investigates finite differences and the use of interpolation models to obtain approximations to the first and second derivatives of a function. Here, it is shown that if…
math.OC2017
Efficient Calculation of Regular Simplex Gradients
Ian Coope, Rachael Tappenden
Simplex gradients are an essential feature of many derivative free optimization algorithms, and can be employed, for example, as part of the process of defining a direction of sear…
math.NA2009★ 1 cited
A Barzilai-Borwein -Regularized Least Squares Algorithm for Compressed Sensing
R. Broughton, I. Coope, P. Renaud +1
Problems in signal processing and medical imaging often lead to calculating sparse solutions to under-determined linear systems. Methodologies for solving this problem are presente…