Pinned Repositories
2decomp_fft
dfogn
DFO-GN: Derivative-Free Optimization using Gauss-Newton
dfols
Python-based Derivative-Free Optimizer for Least-Squares
implied-vol
LAPACK_Examples
Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)
nagcpp
C++ Interfaces for the NAG Library
NAGJavaExamples
Examples demonstrating the NAG Numerical Library for Java
NAGPythonExamples
Examples and demos showing how to call functions from the NAG Library for Python
pybobyqa
Python-based Derivative-Free Optimization with Bound Constraints
pypop
Python Tools for the POP Metrics
Numerical Algorithms Group (NAG)'s Repositories
numericalalgorithmsgroup/pybobyqa
Python-based Derivative-Free Optimization with Bound Constraints
numericalalgorithmsgroup/NAGPythonExamples
Examples and demos showing how to call functions from the NAG Library for Python
numericalalgorithmsgroup/LAPACK_Examples
Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)
numericalalgorithmsgroup/dfols
Python-based Derivative-Free Optimizer for Least-Squares
numericalalgorithmsgroup/dfogn
DFO-GN: Derivative-Free Optimization using Gauss-Newton
numericalalgorithmsgroup/implied-vol
numericalalgorithmsgroup/nagcpp
C++ Interfaces for the NAG Library
numericalalgorithmsgroup/2decomp_fft
numericalalgorithmsgroup/pypop
Python Tools for the POP Metrics
numericalalgorithmsgroup/Ski-LLS
numericalalgorithmsgroup/dfbgn
Python solver for large-scale nonlinear least-squares minimization without derivatives
numericalalgorithmsgroup/HighPerformancePythonTraining
numericalalgorithmsgroup/NAGPythonLibraryTraining
Hands on exercises and solutions for training in the NAG Library for Python
numericalalgorithmsgroup/AlgorithmicDifferentiation
numericalalgorithmsgroup/NAGJavaExamples
Examples demonstrating the NAG Numerical Library for Java
numericalalgorithmsgroup/robinhood-reports
A set of reports for presenting data collected by the Robinhood Policy Engine
numericalalgorithmsgroup/AzureML_Best_Practice
Reference Implementations of AzureML Workloads with Cost/Performance Best Practice
numericalalgorithmsgroup/dco_cpp
numericalalgorithmsgroup/mongodb
changepoint analysis for stock prices
numericalalgorithmsgroup/bayesian-uq
numericalalgorithmsgroup/MLFirstSteps_Azure
Tutorial demonstrating how to get started porting an existing Machine Learning application to MS Azure
numericalalgorithmsgroup/UCL-Talk-20160311
Talk materials
numericalalgorithmsgroup/ExcelTraining
Training course on calling the NAG Fortran Library (Mark 25) from Microsoft Excel (2013)
numericalalgorithmsgroup/kdb_ffi
numericalalgorithmsgroup/NAGPython_PyQ
Using the NAG Library for Python with Kdb+ and PyQ
numericalalgorithmsgroup/performance_profiling_examples
Accompanying resources for the NAG webinar and blog series
numericalalgorithmsgroup/spack
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
numericalalgorithmsgroup/The-Role-of-Matrix-Functions
A Jupyter Notebook about using matrix functions with the NAG Library for Python
numericalalgorithmsgroup/gitlab-mirror-and-ci-action
Github action which manually mirrors a repository to Gitlab and keeps track of Gitlab's CI/CD pipelines.