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Per-Olof Persson

Per-Olof Persson is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Per-Olof Persson rather than just read about it. In short: Per-Olof Persson is a Swedish-American professor of applied mathematics at University of California, Berkeley, and a mathematician faculty senior scientist at the Lawrence Berkeley National Laboratory. His research focuses include numerical methods for partial differential equations, high-order accurate methods, and unstructured mesh generation.

Per-Olof Persson — main illustration
Per-Olof Persson — illustration

Key takeaways

  • Per-Olof Persson belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Per-Olof Persson to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Per-Olof Persson from memory before moving on to harder problems.

Reference excerpt

Per-Olof Persson is a Swedish-American professor of applied mathematics at University of California, Berkeley, and a mathematician faculty senior scientist at the Lawrence Berkeley National Laboratory. His research focuses include numerical methods for partial differential equations, high-order accurate methods, and unstructured mesh generation.

Education and career Persson holds a Master of Science in engineering physics from Lund University and completed his Ph.D. in applied mathematics at the Massachusetts Institute of Technology (MIT) in 2005. Following his doctorate, he served as a postdoctoral associate, an instructor of applied mathematics, and a visiting assistant professor of aeronautics and astronautics at MIT. Prior to his academic career, he spent several years developing commercial numerical software for the finite element package COMSOL Multiphysics In 2010, Persson was one of 38 people that were awarded $14 Million for the Air Force Young Investigators Research Program for submitting research proposals that "show exceptional ability and promise for conducting basic research." In February 2011, Persson was awarded with the Sloan Research Fellowship for $50,000 to pursue further research at UC Berkeley.

Research and publications

Research Persson's research focuses on computational fluid and solid mechanics, with an emphasis on high-order discontinuous Galerkin (DG) methods and unstructured mesh generation. In the area of mesh generation, building upon the development of the DistMesh algorithm, his work extends to space-time and curved meshes. More recently, Persson has introduced machine learning approaches to the field, developing frameworks that utilize deep reinforcement learning and self-play to optimize unstructured triangular and quadrilateral meshes by minimizing irregular nodes. Persson has developed numerical discretization schemes designed to improve computational scaling at high polynomial degrees, including the Compact DG scheme, the sparse Line-DG method, and half-closed DG methods. To address high computational costs associated with high-order methods, his research includes the development of efficient parallel solvers that utilize static condensation, optimally ordered incomplete factorizations by the Minimum Discarded Fill (MDF) method, and Kronecker-SVD preconditioning techniques. Persson has also contributed to the development of fully discrete adjoint methods for PDE-constrained optimization, with practical applications such as optimal designs for flapping flight. In collaboration with Matthew Zahr, he developed high-order implicit shock tracking (HOIST) techniques. This approach uses full-space optimization solvers to align curved meshes with flow discontinuities, allowing for the capture of shocks while maintaining high-order convergence. Additionally, his applied research includes implicit-explicit (IMEX) schemes for partitioned fluid-structure interactions and Wall-Resolved Large Eddy Simulation for turbulent flows.

Select publications Narayanan, A.; Pan, Y.; Persson, P.-O. (2024). "Learning topological operations on meshes with application to block decomposition of polygons". Computer-Aided Design. 175: 103744. Zahr, M.; Shi, A.; Persson, P.-O. (2020). "Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method". Journal of Computational Physics. 410: 109385. Wang, Z. J.; et al. (2013). "High-Order CFD Methods: Current Status and Perspective". International Journal for Numerical Methods in Fluids. 72 (8): 811–845. Peraire, J.; Persson, P.-O. (2008). "The Compact Discontinuous Galerkin (CDG) Method for Elliptic Problems". SIAM Journal on Scientific Computing. 30 (4): 1806–1824. Persson, P.-O.; Peraire, J. (2006). "Sub-Cell Shock Capturing for Discontinuous Galerkin Methods". Proceedings of the 44th AIAA Aerospace Sciences Meeting and Exhibit. AIAA-2006-112. Persson, P.-O.; Strang, G. (2004). "A Simple Mesh Generator in MATLAB". SIAM Review. 46 (2): 329–345.

Software DistMesh: An algorithm for generation of unstructured triangular and tetrahedral meshes.

References

External links Official Academic Website at UC Berkeley Per-Olof Persson publications indexed by Google Scholar

Illustrations

Per-Olof Persson illustration

Worked examples

Example 1 — a first encounter with Per-Olof Persson

Start with the simplest possible case. Write down what Per-Olof Persson claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Per-Olof Persson before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Per-Olof Persson ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Per-Olof Persson

In research
Per-Olof Persson appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Per-Olof Persson in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Per-Olof Persson is common in secondary-school and first-year university syllabi. It links to neighbouring topics Applied mathematicians, Computational fluid dynamics, Living people, so understanding it makes those chapters shorter.
In everyday life
Look for Per-Olof Persson outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Per-Olof Persson in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Per-Olof Persson means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Per-Olof Persson out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Per-Olof Persson in simple terms?

Per-Olof Persson is a Swedish-American professor of applied mathematics at University of California, Berkeley, and a mathematician faculty senior scientist at the Lawrence Berkeley National Laboratory. His research focuses include numerical methods for partial differential equations, high-order acc…

Why does Per-Olof Persson matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Per-Olof Persson?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Per-Olof Persson.

Tags

  • Applied mathematicians
  • Computational fluid dynamics
  • Living people
  • Massachusetts Institute of Technology alumni
  • Numerical analysts
  • Partial differential equation theorists
  • Swedish mathematicians
  • University of California, Berkeley faculty

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