CasADi -- A symbolic package for automatic differentiation and optimal control

By Joel A. E. Andersson, J. Åkesson, Moritz Diehl. 2012

362 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/6c96a52d3f8261d3c76dbf8691c6c84172accf26

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. R. Abraham Martin
2. Daniel C. Hill
3. John D. Hedengren
4. Logan D. R. Beal

In Control and Systems Engineering

1. Nicolas Mansard
2. Guilhem Saurel
3. Justin Carpentier

In Numerical Analysis

1. Florent Lamiraux
2. R. Abraham Martin
3. Daniel C. Hill
4. John D. Hedengren
5. Logan D. R. Beal

Citations in the corpus

• The Pinocchio C++ library : A fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives (2019, background): “This is made possible through the full scalar templatization of the whole C++ code and the use of any external library that does automatic differentiation: ADOL-C [23], CasADi [24], CppAD [25] and others.”
• GEKKO Optimization Suite (2018, background): “Casadi [21] is a framework that provides a symbolic modeling language and efficient automatic differentiation.”
• A General-Purpose Software Framework for Dynamic Optimization (Een algemene softwareomgeving voor dynamische optimalisatie) (2013, neutral): “[27].”