Results 131 to 140 of about 13,640 (282)

Real‐Time Conformal Maps and Parameterizations

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a simple algorithm to conformally map between two simple and bounded planar domains based on the concept of harmonic measure, which is a conformal invariant. With suitable preprocessing, the algorithm is fast enough to compute all possible conformal maps (having three real degrees of freedom) between the two domains in real time in
Q. Chang, C. Gotsman, K. Hormann
wiley   +1 more source

Fractional revival of threshold graphs under Laplacian dynamics

open access: yes, 2020
We consider Laplacian fractional revival between two vertices of a graph $X$. Assume that it occurs at time $\tau$ between vertices 1 and 2. We prove that for the spectral decomposition $L = \sum_{r=0}^q \theta_rE_r$ of the Laplacian matrix $L$ of $X ...
Kirkland, S., Zhang, X.
core  

Constructing Connectome Atlas by Graph Laplacian Learning. [PDF]

open access: yesNeuroinformatics, 2021
Kim M   +5 more
europepmc   +1 more source

3D Character Reconstruction from Hand‐drawn Model Sheets

open access: yesComputer Graphics Forum, EarlyView.
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon   +3 more
wiley   +1 more source

Developments on Spectral Characterizations of Graphs

open access: yes
In [E.R. van Dam and W.H. Haemers, Which graphs are determined by their spectrum?, Linear Algebra Appl. 373 (2003), 241-272] we gave a survey of answers to the question of which graphs are determined by the spectrum of some matrix associated to the graph.
Dam, E.R. van, Haemers, W.H.
core  

On the Eigenvalues and Energy of the Seidel and Seidel Laplacian Matrices of Graphs

open access: yesDiscrete Dynamics in Nature and Society
Let SΓ be a Seidel matrix of a graph Γ of order n and let DΓ=diagn−1−2d1,n−1−2d2,…,n−1−2dn be a diagonal matrix with di denoting the degree of a vertex vi in Γ. The Seidel Laplacian matrix of Γ is defined as SLΓ=DΓ−SΓ.
J. Askari   +2 more
doaj   +1 more source

Controllable Intrinsic Surface Pattern Generation Using Slime Mold Simulations

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface‐based pattern simulations have proven valuable for texture design and scientific visualization, but existing methods face several limitations. Most simulations either target a narrow range of pattern types (e.g. spots, branching) or support a broad range of patterns at the cost of time‐consuming parameter tuning.
Jeffrey Layton   +2 more
wiley   +1 more source

Spectral Results on Some Hamiltonian Properties of Graphs [PDF]

open access: yesRomanian Journal of Mathematics and Computer Science, 2014
Using Lotker’s interlacing theorem on the Laplacian eigenvalues of a graph in [5] and Wang and Belardo’s interlacing theorem on the signless Laplacian eigenvalues of a graph in [6], we in this note obtain spectral conditions for some Hamiltonian ...
Rao Li
doaj  

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