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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, Matlab/Octave, Julia or Javascript
- optimization
- nonlinear
- derivatives
- code-generation
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
- scientific-computing
- linear-algebra
- differential-equations
- sparse-systems
Polygonal Surface Reconstruction from Point Clouds (C++ & Python)
- surface-reconstruction
- urban-modeling
- urban-reconstruction
- primitive-extraction
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A common interface used for modeling Mathematical Programs (e.g., Convex Optimization problems) in the language Go (Golang).
- convex-optimization
- linear-programming
- optimization
- quadratic-programming