Here you will find one or more explanations in English for the word **laplacian**. Also in the bottom left of the page several parts of wikipedia pages related to the word **laplacian** and, of course, **laplacian** synonyms and on the right images related to the word **laplacian**.

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- laplacian matrix. 'del squared' redirects here. for other uses, see del squared (disambiguation). in mathematics, the laplace operator or laplacian is

- defined over a vector field. the vector laplacian is similar to the scalar laplacian. whereas the scalar laplacian applies to scalar field and returns a

- the laplacian matrix, sometimes called admittance matrix, kirchhoff matrix or discrete laplacian, is a matrix representation of a graph. the laplacian matrix

- bearing the name laplacian. this article provides an overview of some of them. the connection laplacian, also known as the rough laplacian, is a differential

- called laplace smoothing or add-one smoothing, see additive smoothing. laplacian smoothing is an algorithm to smooth a polygonal mesh. for each vertex

- }}} , and it can be viewed in a certain sense as the limit of the p-laplacian as p → ∞ {\displaystyle

- problem for an unknown function u ≠ 0 and eigenvalue λ here Δ is the laplacian, which is given in xy-coordinates by Δ

- that besides the specific topic of laplacian blob detection, local maxima/minima of the scale-normalized laplacian are also used for scale selection in

- defined over a vector field. the vector laplacian is similar to the scalar laplacian. whereas the scalar laplacian applies to scalar field and returns a

- the laplacian matrix, sometimes called admittance matrix, kirchhoff matrix or discrete laplacian, is a matrix representation of a graph. the laplacian matrix

- bearing the name laplacian. this article provides an overview of some of them. the connection laplacian, also known as the rough laplacian, is a differential

- called laplace smoothing or add-one smoothing, see additive smoothing. laplacian smoothing is an algorithm to smooth a polygonal mesh. for each vertex

- }}} , and it can be viewed in a certain sense as the limit of the p-laplacian as p → ∞ {\displaystyle

- problem for an unknown function u ≠ 0 and eigenvalue λ here Δ is the laplacian, which is given in xy-coordinates by Δ

- that besides the specific topic of laplacian blob detection, local maxima/minima of the scale-normalized laplacian are also used for scale selection in