Fluid simulation using Laplacian eigenfunctions
نویسندگان
چکیده
منابع مشابه
Laplacian Eigenfunctions Learn Population Structure
Principal components analysis has been used for decades to summarize genetic variation across geographic regions and to infer population migration history. More recently, with the advent of genome-wide association studies of complex traits, it has become a commonly-used tool for detection and correction of confounding due to population structure. However, principal components are generally sens...
متن کاملGeometrical Structure of Laplacian Eigenfunctions
We review the properties of eigenvalues and eigenfunctions of the Laplace operator in bounded Euclidean domains with Dirichlet, Neumann or Robin boundary condition. We keep the presentation at a level accessible to scientists from various disciplines ranging from mathematics to physics and computer sciences. The main focus is put onto multiple intricate relations between the shape of a domain a...
متن کاملLocal Parametrizations via Laplacian Eigenfunctions
Eigenfunction methods for mapping high dimensional data sets into lower dimensional spaces are useful in a broad range of applications. In particular, a recent paper by Jones et al [2] shows that eigenfunctions of the Laplacian operator give a good local coordinate system under very general conditions. Here I outline the proof of the theorem and explore its use in cryo-electron microscopy.
متن کاملEigenvalues and Eigenfunctions of the Laplacian
The problem of determining the eigenvalues and eigenvectors for linear operators acting on finite dimensional vector spaces is a problem known to every student of linear algebra. This problem has a wide range of applications and is one of the main tools for dealing with such linear operators. Some of the results concerning these eigenvalues and eigenvectors can be extended to infinite dimension...
متن کاملMAT 280: Laplacian Eigenfunctions: Theory, Applications, and Computations Lectures 14: Shape Recognition Using Laplacian Eigenvalues and Computational Methods of Laplacian Eigenvalues/Eigenfunctions
In this section, we will introduce the work of Kbabou, Hermi, and Rhonma (2007)[2]. Their main idea is to use the eigenvalues and their ratios of the Dirichlet-Laplacian for various planar shapes as their features for classifying them. Let the sequence 0 < λ 1 < λ 2 ≤ λ 3 ≤ · · · ≤ λ k ≤ · · · → ∞ be the sequence of eigenvalues of Dirichlet-Laplacian problem: −∆u = λu in a given bounded planar ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM Transactions on Graphics
سال: 2012
ISSN: 0730-0301,1557-7368
DOI: 10.1145/2077341.2077351