Gauss-Newton method for convex composite optimizations on Riemannian manifolds
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Publication:452337
DOI10.1007/s10898-010-9638-1zbMath1254.65076OpenAlexW2085379846MaRDI QIDQ452337
Jen-Chih Yao, Jin-Hua Wang, Chong Li
Publication date: 20 September 2012
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-010-9638-1
algorithmRiemannian manifoldssequencequasi-regularityGauss-Newton methodregular pointconvergence criterionsemi-local convergenceconvex composite optimization\(L\)-average Lipschitz conditionconvex process
Numerical mathematical programming methods (65K05) Convex programming (90C25) Programming in abstract spaces (90C48) Special Riemannian manifolds (Einstein, Sasakian, etc.) (53C25) Numerical solutions to equations with nonlinear operators (65J15)
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