Numerical Libraries

7 Components & Libraries

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Numerical Libraries

C++ implementation of the Python Numpy library

The random module provides simple ways to create random arrays.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

The recommended way to fully experience the book is by running the Jupyter notebooks: You can test your installation by running

A lightweight python library that helps to keep track of numerical experiments

Let's consider a toy example and train an SVM on the Iris dataset. First, import required packages and define command-line arguments: Define a configuration object for the experiment: Lets create an …

:dart: Accurate sums and dot products for Python.

Summing up values in a list can get tricky if the values are floating point numbers; digit cancellation can occur and the result may come out wrong. A classical example is the sum which, given a len…

:umbrella: Implementations of mathematical functions, formulas and concepts

It provides the mathematical implementations for various topics which are related to mathematical things such as fibonacci, euclidean, prime numbers and so on. Any mathematical topics or concepts are…

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