scientific article; zbMATH DE number 7299944
From MaRDI portal
Publication:5145858
zbMath1474.90341MaRDI QIDQ5145858
Faik Mayah, Ali Sapeeh Rasheed, Ahmed A. H. al-Jumaili
Publication date: 22 January 2021
Full work available at URL: http://ajmaa.org/cgi-bin/paper.pl?string=v17n2/V17I2P14.tex
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
complexity analysisbarrier functionconvex programming on affine manifoldsspecial connectionsaffine convex functions
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A new polynomial-time algorithm for linear programming
- Minimizing a differentiable function over a differential manifold
- On the Riemannian geometry defined by self-concordant barriers and interior-point methods.
- Optimization and dynamical systems
- Trust-region methods on Riemannian manifolds
- Self-concordant functions for optimization on smooth manifolds
- The constrained Newton method on a Lie group and the symmetric eigenvalue problem
- Compact affine manifolds with precompact holonomy are geodesically complete
- Optimization Methods on Riemannian Manifolds and Their Application to Shape Space
- Newton's method on Riemannian manifolds and a geometric model for the human spine
- A Nonlinear Programming Problem in Statistics (Educational Testing)
- The Geometry of Algorithms with Orthogonality Constraints
- Newton's method on Riemannian manifolds: covariant alpha theory
- Semidefinite Programming
- Optimization algorithms exploiting unitary constraints
- A Family of Variable-Metric Methods Derived by Variational Means
- A new approach to variable metric algorithms
- The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
- Conditioning of Quasi-Newton Methods for Function Minimization
- The Gradient Projection Method Along Geodesics
This page was built for publication: