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 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
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 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.