Introduction to Sensitivity and Stability Analysis in Nonlinear Programming

By A. Fiacco. 2012

559 citations recorded by the source corpus.

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1. Francesco Borrelli
2. Manfred Morari
3. Alberto Bemporad
4. Stephen P. Boyd
5. Brandon Amos
6. Akshay Agrawal
7. J. Kolter
8. Shane T. Barratt

Citations in the corpus

• Differentiable Convex Optimization Layers (2019, background): “It is possible to differentiate through nonconvex problems, either analytically [37, 67, 5] or by unrolling SGD [33, 14, 61, 41, 70, 23, 38], Because convex programs can typically be solved efficiently and to high accuracy, it is preferable to use convex optimization layers over nonconvex optimizati”
• Predictive Control for Linear and Hybrid Systems (2017, background): “Many of the theoretical results on parametric programming can be found in[18, 107, 47, 116].”