Comparing gradient descent with automatic differentiation and particle swarm optimization techniques for estimating tumor blood flow parameters in contrast-enhanced imaging

DOI10.1007/S10915-019-01099-7OpenAlexW2990483501WikidataQ126806953 ScholiaQ126806953MaRDI QIDQ2291881

Steven Seay, Kao-Pu Chang, Jessica M. Libertini

Publication date: 31 January 2020

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-019-01099-7

zbMATH Keywords

angiogenesisautomatic differentiationgradient descentparticle swarm optimizationdynamic imagingcontrast-enhanced medical imaging

Mathematics Subject Classification ID

Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Computer aspects of numerical algorithms (65Yxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx) Error analysis and interval analysis (65Gxx)

Uses Software

• DiffSharp

Cites Work

• Unnamed Item
• Cauchy's method of minimization
• Stepsize analysis for descent methods
• Automatic differentiation of algorithms
• Random optimization
• Minimization of functions having Lipschitz continuous first partial derivatives
• A controlled random search procedure for global optimisation

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