Results 11 to 20 of about 8,069 (132)
Fine‐Grained Memory Profiling of GPGPU Kernels
Abstract Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers usually have to organize their data accordingly in order to efficiently make use of these, requiring deep knowledge of the
Max von Buelow +2 more
wiley +1 more source
Prediction of the PSNR Quality of Decoded Images in Fractal Image Coding
With many observations, we find that there exists a logarithmic relationship between the average collage error (ACER) and the PSNR quality of decoded images. By making use of ACER in the encoding process, the curve fitting result can help us to predict the PSNR quality of decoded images. Then, in order to reduce the computational complexity further, an
Qiang Wang, Sheng Bi, Rafael Morales
wiley +1 more source
Spherical Harmonics for Surface Parametrisation and Remeshing
This paper proposes a novel method for parametrisation and remeshing incomplete and irregular polygonal meshes. Spherical harmonics basis functions are used for parametrisation. This involves least squares fitting of spherical harmonics basis functions to the surface mesh.
Caitlin R. Nortje +4 more
wiley +1 more source
Toward Collinearity‐Avoidable Localization for Wireless Sensor Network
In accordance with the collinearity problem during computation caused by the beacon nodes used for location estimation which are close to be in the same line or same plane, two solutions are proposed in this paper: the geometric analytical localization algorithm based on positioning units and the localization algorithm based on the multivariate ...
Xiaoyong Yan +4 more
wiley +1 more source
An optimization control model and the corresponding computational method drawing the diffusion parameters of the nonlinear problem for the drug releasing in the 2D‐disc device were given in this paper. Firstly, based on the nonlinear diffusion equation of the drug releasing in the 2D‐disc device, we used the linear diffusion problem to discrete the ...
Youyun Li +4 more
wiley +1 more source
Two New Efficient Iterative Regularization Methods for Image Restoration Problems
Iterative regularization methods are efficient regularization tools for image restoration problems. The IDR(s) and LSMR methods are state‐of‐the‐arts iterative methods for solving large linear systems. Recently, they have attracted considerable attention. Little is known of them as iterative regularization methods for image restoration.
Chao Zhao +4 more
wiley +1 more source
Norm‐Constrained Least‐Squares Solutions to the Matrix Equation AXB = C
An iterative method to compute the least‐squares solutions of the matrix AXB = C over the norm inequality constraint is proposed. For this method, without the error of calculation, a desired solution can be obtained with finitely iterative step. Numerical experiments are performed to illustrate the efficiency and real application of the algorithm.
An-bao Xu, Zhenyun Peng, Masoud Hajarian
wiley +1 more source
Analytical Rheology of Polymer Melts: State of the Art
The extreme sensitivity of rheology to the microstructure of polymer melts has prompted the development of “analytical rheology,” which seeks inferring the structure and composition of an unknown sample based on rheological measurements. Typically, this involves the inversion of a model, which may be mathematical, computational, or completely empirical.
Sachin Shanbhag, Y. Nakayama, A. O. Neto
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A Representation of Nonhomogeneous Quadratic Forms with Application to the Least Squares Solution
The least squares problem appears, among others, in linear models, and it refers to inconsistent system of linear equations. A crucial question is how to reduce the least squares solution in such a system to the usual solution in a consistent one. Traditionally, this is reached by differential calculus.
Czesław Stępniak, Piermarco Cannarsa
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Antireflective Boundary Conditions for Deblurring Problems
This survey paper deals with the use of antireflective boundary conditions for deblurring problems where the issues that we consider are the precision of the reconstruction when the noise is not present, the linear algebra related to these boundary conditions, the iterative and noniterative regularization solvers when the noise is considered, both from
Marco Donatelli +2 more
wiley +1 more source

