Sequence of polyhedral relaxations for nonlinear univariate functions-Reference-Cited by-同舟云学术

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Sequence of polyhedral relaxations for nonlinear univariate functions

Published:2021-04-17 Issue: Volume: Page:
ISSN:1389-4420
Container-title:Optimization and Engineering
language:en
Short-container-title:Optim Eng

Author:

Sundar Kaarthik,Sanjeevi Sujeevraja,Nagarajan Harsha

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s11081-021-09609-z.pdf

Reference34 articles.

1. Jeff B, Alan E, Stefan K, Shah Viral B (2017) Julia: a fresh approach to numerical computing. SIAM Rev 59(1):65–98

2. Stephen B, Lieven V (2004) Convex Optim. Cambridge University Press, Cambridge

3. Burkard Rainer E, Hamacher Horst W, Günter R (1991) Sandwich approximation of univariate convex functions with an application to separable convex programming. Naval Res Logist (NRL) 38(6):911–924

4. Bussieck Michael R, Drud AS, Alexander M (2003) MINLPLib-a collection of test models for mixed-integer nonlinear programming. Inf J Comput 15(1):114–119

5. Castillo Castillo Pedro A, Castro Pedro M, Vladimir M (2018) Global optimization of MIQCPs with dynamic piecewise relaxations. J Global Optim 71(4):691–716

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