• Stars
    star
    78
  • Rank 412,246 (Top 9 %)
  • Language
    Python
  • License
    GNU General Publi...
  • Created almost 7 years ago
  • Updated about 2 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Python-based Derivative-Free Optimization with Bound Constraints

More Repositories

1

NAGPythonExamples

Examples and demos showing how to call functions from the NAG Library for Python
Jupyter Notebook
60
star
2

LAPACK_Examples

Example programs showing how to call LAPACK driver and computational routines (Fortran double precision)
Fortran
60
star
3

dfols

Python-based Derivative-Free Optimizer for Least-Squares
Python
40
star
4

dfogn

DFO-GN: Derivative-Free Optimization using Gauss-Newton
Python
23
star
5

nagcpp

C++ Interfaces for the NAG Library
C++
18
star
6

2decomp_fft

Fortran
17
star
7

pypop

Python Tools for the POP Metrics
Jupyter Notebook
12
star
8

Ski-LLS

C++
9
star
9

dfbgn

Python solver for large-scale nonlinear least-squares minimization without derivatives
Python
8
star
10

HighPerformancePythonTraining

Jupyter Notebook
8
star
11

NAGPythonLibraryTraining

Hands on exercises and solutions for training in the NAG Library for Python
Jupyter Notebook
7
star
12

AlgorithmicDifferentiation

C++
5
star
13

NAGJavaExamples

Examples demonstrating the NAG Numerical Library for Java
Makefile
5
star
14

robinhood-reports

A set of reports for presenting data collected by the Robinhood Policy Engine
PHP
4
star
15

AzureML_Best_Practice

Reference Implementations of AzureML Workloads with Cost/Performance Best Practice
Jupyter Notebook
3
star
16

dco_cpp

C++
3
star
17

MLFirstSteps_Azure

Tutorial demonstrating how to get started porting an existing Machine Learning application to MS Azure
Python
2
star
18

bayesian-uq

C++
2
star
19

NAGPython_PyQ

Using the NAG Library for Python with Kdb+ and PyQ
1
star
20

The-Role-of-Matrix-Functions

A Jupyter Notebook about using matrix functions with the NAG Library for Python
Jupyter Notebook
1
star
21

kdb_ffi

q
1
star
22

performance_profiling_examples

Accompanying resources for the NAG webinar and blog series
1
star