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Description

CVXOPT is an open-source software library designed for convex optimization, leveraging the capabilities of the Python programming language. Users can interact with it through the Python interpreter, execute scripts from the command line, or incorporate it into other applications as Python extension modules. The primary goal of CVXOPT is to facilitate the development of convex optimization software by utilizing Python's rich standard library and the inherent advantages of Python as a high-level programming tool. It provides efficient Python classes for both dense and sparse matrices, supporting real and complex numbers, along with features like indexing, slicing, and overloaded operations for performing matrix arithmetic. Additionally, CVXOPT includes interfaces to various solvers, such as the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and solvers for linear, quadratic, and second-order cone programming available in MOSEK, making it a versatile tool for researchers and developers in the field of optimization. This comprehensive set of features enhances its utility in tackling a wide range of optimization problems.

Description

Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

3LC No 
Avanzai No 
Codédex No 
Coiled No 
Dash No 
Flower No 
Gensim No 
JAX No 
MPI for Python (mpi4py) No 
NVIDIA FLARE No 
PaizaCloud No 
PyCharm No 
Spyder No 
Unify AI No 
Visual Studio Code No 
Yamak.ai No 
Yandex Data Proc No 
h5py No 
imageio No 
scikit-learn No 

Integrations

3LC Yes 
Avanzai Yes 
Codédex Yes 
Coiled Yes 
Dash Yes 
Flower Yes 
Gensim Yes 
JAX Yes 
MPI for Python (mpi4py) Yes 
NVIDIA FLARE Yes 
PaizaCloud Yes 
PyCharm Yes 
Spyder Yes 
Unify AI Yes 
Visual Studio Code Yes 
Yamak.ai Yes 
Yandex Data Proc Yes 
h5py Yes 
imageio Yes 
scikit-learn Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CVXOPT

Website

cvxopt.org

Vendor Details

Company Name

NumPy

Website

numpy.org

Product Features

Product Features

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