BOOK-CHAPTER
Riemannian Trust Regions with Finite-Difference Hessian Approximations are Globally Convergent
Year: 2015 Lecture notes in computer science Pages: 467-475 Publisher: Springer Science+Business Media
Keywords:
Hessian matrix Differentiable function Convergence (economics) Rate of convergence Applied mathematics Trust region Quadratic equation Computer science Mathematical optimization Function (biology) Nonlinear system Mathematics Mathematical analysis Key (lock) Geometry Physics
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Topics
Stochastic Gradient Optimization Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Model Reduction and Neural Networks
Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
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