How to catch a lion in the desert: on the solution of the coverage directed generation (CDG) problem

DOI10.1007/s11081-020-09507-wzbMath1473.90180arXiv1910.00170OpenAlexW3028651114MaRDI QIDQ2245689

Avi Ziv, Raviv Gal, Bilal Saleh, Brian Irwin, Eldad Haber

Publication date: 15 November 2021

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.00170

zbMATH Keywords

derivative free optimizationinverse problemshardware verificationcoverage directed generationstatistical parameter estimation

Mathematics Subject Classification ID

Nonlinear programming (90C30) Derivative-free methods and methods using generalized derivatives (90C56) Methods of quasi-Newton type (90C53)

Related Items (1)

Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition

Uses Software

• NEWUOA
• IMFIL
• MultiMin
• MCS

Cites Work

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• Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods
• Adaptive System Optimization Using Random Directions Stochastic Approximation
• An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

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