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A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata.
Teng-Teng Yao
Zheng-Jian Bai
Zhi Zhao
Published in:
Numer. Linear Algebra Appl. (2019)
Keyphrases
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conjugate gradient method
eigenvalue problems
conjugate gradient
convergence property
objective function
positive definite
iterative methods
shape analysis
polynomial equations
artificial neural networks
euclidean space
optimal solution
particle swarm optimization
sample size
vector space