Peter Lancaster is affiliated with the University of Calgary in Canada and has contributed to research across the fields of Mathematics and Computer Science. Their areas of study include computational theory and mathematics, numerical analysis, and applied mathematics.
The main topics of Peter Lancaster's work encompass matrix theory and algorithms, numerical methods for differential equations, and mathematical functions and polynomials.
Among their recent published work is the paper titled Spectral theory for self-adjoint quadratic eigenvalue problems - a review, published in 2021 in the Electronic Journal of Linear Algebra.
Coauthor collaborations have been noted with I. Zaballa.
The main publication venue for Peter Lancaster's research has been the Electronic Journal of Linear Algebra.
Peter Lancaster has been recognized with several awards, including being named a SIAM Fellow in 2009 for contributions to matrix analysis and its applications to vibrations, systems theory, and control. Additionally, they were elected Fellow of the Royal Society of Canada in 1984, affiliated with the Academy of Science.
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