Malyoshina A. Malyoshina
Papers
1
Total Citations
6
H-Index
1
About
Driven by the complex demands of modern engineering and computer science, A. Malyoshina’s research centers on advanced matrix computations and neural network methodologies, with a particular focus on quaternion algebra. Her most notable contribution, the 2023 paper “Computing quaternion matrix pseudoinverse with zeroing neural networks,” introduces a pioneering approach to calculating time-varying quaternion matrix Moore-Penrose inverses. This work addresses critical challenges in fields ranging from physics to robotics, offering a robust solution for real-time applications. With 6 citations already, the paper has quickly gained recognition for its innovative fusion of zeroing neural networks with quaternion mathematics, a niche yet rapidly expanding area. Malyoshina’s research stands out for its practical relevance, bridging theoretical linear algebra with dynamic system needs. Her achievements highlight a promising trajectory in computational mathematics, making her a rising voice in the study of pseudoinverses and neural network-driven optimization.
Research Focus
Key Achievements
Top Papers
- 1Computing quaternion matrix pseudoinverse with zeroing neural networks6 citations · 2023