Numerical Algorithms Group (NAG)

Repositories

• AzureML_Best_Practice

  Reference Implementations of AzureML Workloads with Cost/Performance Best Practice
  Jupyter Notebook 1 1 0 0 Updated Jun 24, 2021

• nagcpp

  C++ Interfaces for the NAG Library
  C++ 4 7 0 0 Updated Jun 18, 2021

• NAG-Cloud-HPC
  JavaScript 0 0 0 8 Updated Jun 17, 2021

• dfols

  Python-based Derivative-Free Optimizer for Least-Squares

  python optimization least-squares scientific-computing numerical-methods numerical-optimization nonlinear-optimization
  Python GPL-3.0 7 22 8 0 Updated Jun 1, 2021

• Ski-LLS
  C++ 1 3 0 0 Updated May 27, 2021

• pypop

  Python Tools for the POP Metrics
  Jupyter Notebook 3 10 16 0 Updated May 14, 2021

• NAGJavaExamples

  Examples demonstrating the NAG Numerical Library for Java

  java optimization calibration quantitative-finance trial nonlinear-optimization data-fitting
  Makefile BSD-3-Clause 1 1 0 0 Updated May 5, 2021

• implied-vol

  Forked from bespector/implied-vol
  Python 27 5 0 0 Updated Apr 24, 2021

• NAGPythonLibraryTraining

  Hands on exercises and solutions for training in the NAG Library for Python
  Jupyter Notebook 2 7 0 0 Updated Apr 21, 2021

• HighPerformancePythonTraining
  Jupyter Notebook 1 2 0 0 Updated Apr 14, 2021

• pybobyqa

  Python-based Derivative-Free Optimization with Bound Constraints

  python optimization scientific-computing numerical-methods numerical-optimization nonlinear-optimization optimization-algorithms
  Python GPL-3.0 11 38 12 0 Updated Apr 14, 2021

• NAGPythonExamples

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

  python optimization linear-algebra root-finding scientific-computing curve-fitting random-number-generators
  Jupyter Notebook BSD-3-Clause 12 29 7 0 Updated Apr 12, 2021

• dfbgn

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

  python optimization least-squares scientific-computing numerical-methods numerical-optimization nonlinear-optimization
  Python GPL-3.0 2 3 0 0 Updated Feb 25, 2021

• spack

  Forked from spack/spack

  A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
  Python 1,372 1 0 0 Updated Nov 16, 2020

• bayesian-uq
  C++ BSD-3-Clause 1 1 0 0 Updated Sep 1, 2020

• MLFirstSteps_Azure

  Tutorial demonstrating how to get started porting an existing Machine Learning application to MS Azure
  Python 2 1 2 0 Updated Aug 26, 2020

• dco_cpp
  C++ 1 2 0 0 Updated Jun 24, 2020

• performance_profiling_examples

  Accompanying resources for the NAG webinar and blog series
  2 1 0 0 Updated Jan 15, 2020

• robinhood-reports

  A set of reports for presenting data collected by the Robinhood Policy Engine
  PHP MIT 2 4 7 0 Updated Jul 30, 2019

• dfogn

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

  python optimization least-squares scientific-computing numerical-methods numerical-optimization nonlinear-optimization
  Python GPL-3.0 3 19 0 0 Updated Jul 8, 2019

• NAGPython_PyQ

  Using the NAG Library for Python with Kdb+ and PyQ
  3 1 0 0 Updated Jun 25, 2019

• AlgorithmicDifferentiation
  C++ 3 2 0 0 Updated May 16, 2019

• The-Role-of-Matrix-Functions

  A Jupyter Notebook about using matrix functions with the NAG Library for Python
  Jupyter Notebook 2 1 0 0 Updated Nov 28, 2018

• kdb_ffi
  q 2 1 0 0 Updated Sep 14, 2018

• LAPACK_Examples

  Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)
  Fortran 13 21 0 0 Updated Jan 30, 2018

• mongodb

  Forked from jcmuddle/nag4py_changepoint_pelt_mongodb

  changepoint analysis for stock prices
  Jupyter Notebook 6 3 0 0 Updated Jan 24, 2017

• UCL-Talk-20160311

  Forked from jcmuddle/UCL-Talk-20160311

  Talk materials
  Jupyter Notebook 3 2 0 0 Updated Mar 16, 2016

• ExcelTraining

  Forked from nagdevelopment/ExcelTraining

  Training course on calling the NAG Fortran Library (Mark 25) from Microsoft Excel (2013)
  4 1 0 0 Updated Feb 23, 2016