C
search
search
reviewers
reviewers
feeds
feeds
assignments
assignments
settings
logout
Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem.
Sangho Kum
Chong Li
Jinhua Wang
Jen-Chih Yao
Linglingzhi Zhu
Published in:
Numer. Algorithms (2023)
Keyphrases
</>
significant improvement
computational cost
theoretical analysis
data sets
benchmark datasets
orders of magnitude
neural network
learning algorithm
computational complexity
least squares
optimization problems
computationally efficient
dimensionality reduction
machine learning algorithms
convergence rate