معرفی
Petr Tichý is an Associate Professor at the Department of Numerical Mathematics, Faculty of Mathematics and Physics, Charles University. He specializes in numerical analysis, matrix computations, and Krylov subspace methods. His work focuses on error estimation in iterative methods and the convergence properties of algorithms like the conjugate gradient method.
Education:
- Ph.D. in Scientific Computations, Charles University (2002)
- M.S. in Computational Mathematics, Charles University (1997)
Research Interests: His research emphasizes numerical linear algebra, including matrix approximations, CG algorithm stability, and the development of efficient error estimation techniques. He has contributed to the analysis of block conjugate gradient methods, Gauss-Radau error bounds, and the theoretical foundations of Krylov subspace methods.
Publications: Tichý has authored over 30 peer-reviewed articles and a book on error norm estimation in conjugate gradient algorithms. His recent work includes studies on matrix best approximation and the behavior of error estimates in iterative solvers.
Awards:
- Dean's Award for Best Book (2024)
- Jaroslav Jirsa Prize (2013)
- Otto Wichterle Prize (2007)
- Ivo Babuška Prize (2002)
Grants & Collaborations: He has led projects funded by GACR and participated in EU initiatives. Collaborators include Gerard Meurant, Vance Faber, and Jörg Liesen.
