Liberal Arts and Sciences
Pollock Lab
Led by Sara Pollock · Mathematics
What we study
The Pollock Lab studies numerical methods for solving complex math problems, like nonlinear and eigenvalue equations, using tools like finite element analysis and scientific computing. They focus on making these solvers efficient and reliable.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Optimal control of parabolic partial differential equations using Radau collocation
2026 · Journal of the Franklin Institute
- Analysis of the Picard-Newton Iteration for the Navier-Stokes Equations: Global Stability and Quadratic Convergence
2025 · Journal of Scientific Computing
Analyzes a two-step iteration for Navier-Stokes equations, proving quadratic convergence.
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- A finite element implementation of the SRTD algorithm for an Oldroyd 3-parameter viscoelastic fluid model
2025 · Finite Elements in Analysis and Design
- Accelerating the Computation of Tensor Z-eigenvalues
2025 · La Matematica
- Dynamically accelerating the power iteration with momentum
2024 · Numerical Linear Algebra with Applications
Develops a dynamic momentum method to accelerate power iterations with minimal overhead.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Sara Pollock hasn't set up this page yet. Their UF Scholars profile lists their publications.