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pybobyqa
Python-based Derivative-Free Optimization with Bound ConstraintsNAGPythonExamples
Examples and demos showing how to call functions from the NAG Library for PythonLAPACK_Examples
Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)dfols
Python-based Derivative-Free Optimizer for Least-Squaresdfogn
DFO-GN: Derivative-Free Optimization using Gauss-Newtonnagcpp
C++ Interfaces for the NAG Library2decomp_fft
pypop
Python Tools for the POP MetricsSki-LLS
dfbgn
Python solver for large-scale nonlinear least-squares minimization without derivativesHighPerformancePythonTraining
NAGPythonLibraryTraining
Hands on exercises and solutions for training in the NAG Library for PythonAlgorithmicDifferentiation
NAGJavaExamples
Examples demonstrating the NAG Numerical Library for Javarobinhood-reports
A set of reports for presenting data collected by the Robinhood Policy EngineAzureML_Best_Practice
Reference Implementations of AzureML Workloads with Cost/Performance Best Practicedco_cpp
MLFirstSteps_Azure
Tutorial demonstrating how to get started porting an existing Machine Learning application to MS Azurebayesian-uq
The-Role-of-Matrix-Functions
A Jupyter Notebook about using matrix functions with the NAG Library for Pythonkdb_ffi
performance_profiling_examples
Accompanying resources for the NAG webinar and blog seriesLove Open Source and this site? Check out how you can help us