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Computer Experimental Mathematics Lab
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The lab studies applied mathematics, centered on the numerical analysis of differential equations.
AboutAbout the lab
Applied mathematics in the broad sense, centered on numerical analysis
The Computer Experimental Mathematics Lab studies applied mathematics in the broad sense.
Most of its research themes are methods for, and analysis of, the numerical analysis of (partial) differential equations. The lab also works on mathematical modeling, stochastic differential equations, and data assimilation.
Students' research topics are chosen with priority given to their own interests, and a wide range of topics have been selected, such as algorithms for binary classification and matching problems.
On the lab's website, it is introduced under the name “Computer Experimental Science Research Division.”
Key terms
- Numerical analysis
- The field that studies methods for solving mathematical problems such as differential equations by computer, and the properties of those methods
- Stochastic differential equations
- Differential equations that describe how quantities involving random fluctuations change over time
- Data assimilation
- A technique that incorporates observational data into simulations to bring computed results closer to reality
ResearchResearch themes
The lab's research theme is applied mathematics in the broad sense, and most of it consists of methods for, and analysis of, the numerical analysis of (partial) differential equations. Students' research topics are chosen with priority given to their own interests, and a wide range of topics have been selected.
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MembersFaculty
The members page of the Computer Experimental Mathematics Lab lists the faculty and administrative staff.
- ProfessorDaisuke Furihata
- Associate ProfessorYuto Miyatake
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “New Boeing Method Accelerates Turbulence Modeling Uncertainty Analysis” OLCF / CC BY 2.0 (cropped)
- Numerical Analysis of Differential Equations and Applied Mathematics: “Finite element mesh” Bruno Sudret / CC BY 4.0 (cropped)
- Related lab (Discrete Structures Lab): “Symmetries ( )” P K / CC BY 2.0 (cropped)
- Related lab (Large-Scale Mathematical Sciences Lab): “Contours in the vector field f(z) = -Cos(z)” Oldtimermath / CC BY-SA 3.0 (cropped)
- Related lab (Applied Analysis Lab): “Lorenz yz x 0” German A. Chernykh & Irina A. Chernykh / CC BY-SA 4.0 (cropped)
- Related lab (Geometric Analysis Lab): “One-sided spacetime curvatures” Tokamac / CC BY-SA 4.0 (cropped)
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