Skip to main content

Package to solve linear inverse problems

Project description

LinvPy is a Python package designed for solving linear inverse problems of the form y=Ax+n, where y is a vector of measured values, A a known matrix, x an unknown input vector and n is noise. The goal is to find x, or at least the best possible estimation; if the matrix A is invertible, the solution is easy to find by multiplying by the inverse, if not, we need to use regression techniques such as least squares method to find x. The first motivation for this project is that Marta Martinez-Camara, PhD student in Communications Systems at EPFL (Switzerland) desgined some new algorithms for solving linear inverse problems, and this package is a Python implementation of these algorithms, which may not be available anywhere else than here. LinvPy also contains several other known and available techniques such as least squares regression, regularization functions, loss functions or M-estimators which you can also find in the famous Numpy or Scipy packages.

To install from pip, simply run : $ pip install linvpy

PyPi link : https://pypi.python.org/pypi/linvpy

ReadTheDocs link : http://linvpy.readthedocs.org/en/latest/

Project details


Release history Release notifications

This version
History Node

0.1.5492

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
pandiglou-0.1.5492-py2.py3-none-any.whl (13.1 kB) Copy SHA256 hash SHA256 Wheel 2.7 May 24, 2016
pandiglou-0.1.5492.tar.gz (10.4 kB) Copy SHA256 hash SHA256 Source None May 24, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page