numericalalgorithmsgroup Goto Github PK

2decomp_fft

algorithmicdifferentiation

azureml_best_practice

Reference Implementations of AzureML Workloads with Cost/Performance Best Practice

bayesian-uq

dco_cpp

dfbgn

Python solver for large-scale nonlinear least-squares minimization without derivatives

dfogn

DFO-GN: Derivative-Free Optimization using Gauss-Newton

dfols

Python-based Derivative-Free Optimizer for Least-Squares

exceltraining

Training course on calling the NAG Fortran Library (Mark 25) from Microsoft Excel (2013)

gitlab-mirror-and-ci-action

Github action which manually mirrors a repository to Gitlab and keeps track of Gitlab's CI/CD pipelines.

highperformancepythontraining

implied-vol

kdb_ffi

lapack_examples

Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)

mlfirststeps_azure

Tutorial demonstrating how to get started porting an existing Machine Learning application to MS Azure

mongodb

changepoint analysis for stock prices

nag-cloud-hpc

nagcpp

C++ Interfaces for the NAG Library

nagjavaexamples

Examples demonstrating the NAG Numerical Library for Java

nagpython_pyq

Using the NAG Library for Python with Kdb+ and PyQ

nagpythonexamples

Examples and demos showing how to call functions from the NAG Library for Python

nagpythonlibrarytraining

Hands on exercises and solutions for training in the NAG Library for Python

performance_profiling_examples

Accompanying resources for the NAG webinar and blog series

pybobyqa

Python-based Derivative-Free Optimization with Bound Constraints

pypop

Python Tools for the POP Metrics

robinhood-reports

A set of reports for presenting data collected by the Robinhood Policy Engine

ski-lls

spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

the-role-of-matrix-functions

A Jupyter Notebook about using matrix functions with the NAG Library for Python

ucl-talk-20160311

Talk materials