Opti: Lowering the Barrier Between Open Source Optimizers and the Industrial MATLAB User

By Jonathan Currie, David I. Wilson. 2012

388 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3ed26dd6ede78246bce360f6f2cae952b385b4b2

How researchers see this paper

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

1. Umair Mohammad
2. James R. Luedtke
3. Sameh Sorour
4. Pietro Belotti
5. Christian Kirches
6. Sven Leyffer
7. Jeff T. Linderoth
8. Ashutosh Mahajan

Citations in the corpus

• Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian (2014, methodology): “The examples that show the advantage of the NOMAD solver over the BONMIN solver on solving nonconvex mixed-integer nonlinear programming problems can be found on the website of the OPTI toolbox [43].”
• Mixed-integer nonlinear optimization*† (2013, methodology): “Opti Toolbox (Currie and Wilson, 2012) is another open-source modeling tool.”
• Adaptive Task Allocation for Mobile Edge Learning (2018, methodology): “This problem can be solved by using interior-point or ADMM methods, and there are efficient solvers (such as OPTI) that implement these approaches [16].”