7 papers
How Good are Foundation Models in Longitudinal MRI Disease Progression Reasoning?
Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura +6
Magnetic Resonance Imaging (MRI) interpretation is fundamental to clinical decision-making, requiring radiologists to integrate multi-view anatomical planes across sequential timep…
Augmented Lagrangian methods for convex optimization with priority constraints via an infeasibility control framework
Yuya Yamakawa, Shota Yamanaka, Nobuo Yamashita
We consider convex optimization problems with prioritized equality constraints, which may be infeasible. In many applications, such as network optimization and image reconstruction…
A twice continuously differentiable penalty function for nonlinear semidefinite programming problems and its application
Yuya Yamakawa
This paper presents a twice continuously differentiable penalty function for nonlinear semidefinite programming problems. In some optimization methods, such as penalty methods and…
Second-order sequential optimality conditions for nonlinear semidefinite optimization problems
Huimin Li, Yuya Yamakawa, Ellen H. Fukuda
Sequential optimality conditions play an important role in constrained optimization since they provide necessary conditions without requiring constraint qualifications (CQs). This…
Local convergence analysis of stabilized sequential quadratic programming methods for optimization problems in Banach spaces
Yuya Yamakawa
This paper presents a stabilized sequential quadratic programming (SQP) method for solving optimization problems in Banach spaces. The optimization problem considered in this study…
Modified Armijo line search in optimization on Riemannian submanifolds with reduced computational cost
Hiroyuki Sato, Yuya Yamakawa, Kensuke Aihara
For optimization problems on Riemannian manifolds, many types of globally convergent algorithms have been proposed, and they are often equipped with the Riemannian version of the A…