The Numerical Algorithms Group: New Faster Data Fitting Solver Strengthens NAG Library Optimization Suite

OXFORD, England, Nov. 4, 2020 - NAG announces key numerical updates to the NAG Library. New at Mark 27.1 is a novel nonlinear least squares solver for unconstrained and bound-constrained data fitting (calibration) problems. The new solver embeds various algorithms and regularization techniques to overcome potential convergence difficulties present in simpler methods and to increase [...] The post New Faster Data Fitting Solver Strengthens NAG Library Optimization Suite appeared first on HPCwire.