xuan-li / Surface-Parameterization-Algorithms Star 29 Code Issues Pull requests Project for CSE528 geometry-processing parameterization Updated Apr 15, 2022 C++ JMorado / ParaMol Star 28 Code Issues Pull requests A Package for Parametrization of Molecular Mechanics Force Fields charmm amber ...
However, many of these calculations are independent and can be computed in parallel. Therefore, this paper proposes a GPU-based acceleration algorithm for the ZM scheme. Based on the computation characteristics of the ZM scheme, we propose its one-demensional and two-demensional acceleration ...
This is the canonical form of the generalized Eigen value problem for which there are available numerical algorithms. Finally, our third constraint is that the solution is orthogonal to the trivial solutions. There are two trivial solutions. They correspond to mapping all u values to zero and all...
In what follows, we represent the boundary of a 3D object as an embedding f:S2→R3. Here, we assume that the parameterization domain is the unit sphere. It maps every point s=(u,v)∈S2 to a point f(s)∈R3. For clarity purposes, we assume at this stage that the given surfaces ha...
Depending on the extent and severity of the valvular disease, replacement operations are often required to ensure that the heart continues to operate properly in the cardiac system. Transcatheter aortic valve replacement (TAVR) procedures have recently emerged as a promising alternative to surgical ...
Optimization of fuzzy controller design using a Differential Evolution algorithm with dynamic parameter adaptation based on Type-1 and Interval Type-2 fuzzy systems Article24 June 2019 Design of Adaptive Fuzzy Modeling Based on Evolutionary Optimization Algorithms: A Comparative Study ...
A Parameterization Surface in Computer Science refers to the process of flattening a surface onto a simple domain, such as a 2D unit disk or rectangle, to enable geometric matching between two images based on corresponding quantities like curvatures. ...
Researchers have proposed using surrogate modeling algorithms to reduce the optimization's computational cost and accelerate the design process. While the upfront cost of training the surrogate model is considerable, this approach can pay off if the surrogate model performs many optimizations. Surrogate ...
We show that PAPTO is more sensitive to neocortical transient beta rhythms compared to more conventional transient event detection algorithms and captures more variance in the resting-state occurrence rate of beta events across participants. The improved sensitivity of PAPTO reveals that the beta ...
1.In a computing environment, a method comprising:providing an interface comprising a set of at least one function to a scene graph;receiving a request via the interface to include a mutable value in a container of the scene graph, the mutable value, having a value that is capable of being...