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Brown, Jed

Associate Professor

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Research Areas research areas

Research

research overview

  • Brown's research interests include scalable solvers for implicit multiphysics, high order PDE discretization in complex geometry, compatible discretizations for heterogeneous flows, and PDE-constrained optimization. His work emphasizes robust and high performance parallel software, often relating to PETSc.

keywords

  • multilevel solvers, simulation and analysis of PDE systems, parallel algorithms and software, computational fluid dynamics, geodynamics, glaciology, structural mechanics, uncertainty quantification, experimental design

Publications

selected publications

Teaching

courses taught

  • APPM 6950 - Master's Thesis
    Primary Instructor - Fall 2020 / Spring 2021
    May be repeated up to 6 total credit hours.
  • CSCI 3656 - Numerical Computation
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Spring 2022 / Spring 2023
    Covers development, computer implementation, and analysis of numerical methods for applied mathematical problems. Explores topics such as floating point arithmetic, numerical solution of linear systems of equations, root finding, numerical interpolation, differentiation, and integration.
  • CSCI 4576 - High-Performance Scientific Computing
    Primary Instructor - Fall 2019
    Introduces computing systems, software and methods used to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. Recommended prerequisite: APPM 4600 or APPM 4650 or CSCI 3656 or MATH 4650 or MCEN 3030. Same as CSCI 5576.
  • CSCI 4950 - Senior Thesis
    Primary Instructor - Fall 2018 / Spring 2019 / Spring 2022 / Spring 2024 / Fall 2024
    Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
  • CSCI 5576 - High-Performance Scientific Computing
    Primary Instructor - Fall 2019
    Introduces computing systems, software and methods used to solve large-scale problems in science and engineering. Students use high-performance workstations and a supercomputer. Same as CSCI 4576.
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