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math.NA2026
Novel Product Manifold Modeling and Orthogonality-Constrained Neural Network Solver for Parameterized Generalized Inverse Eigenvalue Problems
Shuai Zhang, Xuelian Jiang, Yingxiang Xu
A parameterized orthogonality-constrained neural network is proposed for the first time to solve the parameterized generalized inverse eigenvalue problem (PGIEP) on product manifol…
math.NA2024
Orthogonal Constrained Neural Networks for Solving Structured Inverse Eigenvalue Problems
Shuai Zhang, Xuelian Jiang, Hao Qian +1
This paper introduces a novel neural network for efficiently solving Structured Inverse Eigenvalue Problems (SIEPs). The main contributions lie in two aspects: firstly, a unified f…