Shape functional optimization with restrictions boosted with machine learning techniques

DOI10.1016/j.cam.2010.03.021zbMath1191.65075DBLPjournals/jcam/LopezMMTV10aOpenAlexW1967656098WikidataQ62701594 ScholiaQ62701594MaRDI QIDQ977443

J. Martínez

Publication date: 22 June 2010

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2010.03.021

zbMATH Keywords

algorithmnumerical examplesshape optimizationmachine learningfunctional dataapproximation and interpolationmathematical programming and optimization

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Numerical methods based on nonlinear programming (49M37) Optimization of shapes other than minimal surfaces (49Q10)

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Uses Software

• fda (R)

Cites Work

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• Functional support vector machines and generalized linear models for glacier geomorphology analysis
• A Globally Convergent Augmented Lagrangian Pattern Search Algorithm for Optimization with General Constraints and Simple Bounds
• Neural Network Learning
• Elasticity

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