The casadi from saransh-cpp

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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 or Matlab/Octave.

License: GNU Lesser General Public License v3.0

Shell 0.01% C++ 39.08% Python 5.40% Perl 0.01% C 21.10% Objective-C 0.01% Fortran 0.02% MATLAB 0.24% M 0.01% Makefile 0.06% CMake 1.41% SWIG 32.66%

casadi's Introduction

You are probably looking for my website, specifically, the open-source page.

I am an Assistant Research Software Engineer at UCL’s Centre for Advanced Research Computing. I graduated from the University of Delhi with a major in CS and Mathematics in 2024 (with a thesis titled “Computational upgrades to the high energy physics data analysis pipeline for future LHC/HL-LHC runs”). My thesis was carried out at the European Organisation for Nuclear Research (CERN), under the Princeton Research Computing Group and IRIS-HEP.

I am broadly interested in {Research Software Engineering, Scientific Computing, High Performance Computing, DevOps}, {Theory of Computation, Programming Languages, Type Theory}, {Scientific Machine Learning, Computer Vision, and Data Science for Social Good}. I am extremely passionate about Open-Source and Open-Science.