Matrix Analysis
Research Groups
- Actuarial and Financial Mathematics
- Applied Algebra and Information Theory
- Bayesian Statistics
- Computational Mathematics and High-Performance Computing
- Enumerative Combinatorics
- Fluid Dynamics
- Functional Analysis
- Mathematics Education
- Matrix Analysis
- Number Theory
- Potential Theory
- Probability
- Quantum Information and Computation
- Real Algebra
- Relativity and Mathematical Physics
- Statistical Genetics and Bioinformatics
- Statistical Modelling
Matrix Analysis
Matrix theory is a more advanced version of linear algebra and has strong links with other mathematical disciplines such as graph theory, combinatorics, operator theory, geometry, mathematical biology. Applications of the area range from machine learning and big data, to engineering and biology.
Research in Matrix Analysis in the school covers a range of topics, including combinatorial matrix theory, spectral theory for positive matrices, quantum information theory, algebra lengths, and completion problems.
People
Research Interests: Nonnegative matrix theory
Research Interests: Functional Analysis, Operator Algebras, Operator Spaces, Quantum Information Theory, Matrix Analysis
Research Interests: TTheory and applications of nonnegative matrices, combinatorial matrix theory, completely positive matrices, nonnegative matrix factorizations, matrix algebras
Group Contact (Email): (opens in a new window)Dr Helena Smigoc