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The multigrid (MG) method is known as the fast linear solver for large scale finite element analyses. In the iterations of MG, the Gauss-Seidel method is usually adopted as the smoother. Recently, Induced Dimension Reduction (IDR)-based methods receive much attention because these methods solve faster than the other strong solvers such as BiCGStab method. In this paper, we present a performance of...
Fast and efficient algorithms are paramount in any real-time multimodal interactive simulation involving soft deformable objects. To achieve real time computational rates, it is expedient to adaptively refine the simulation mesh in the vicinity of the interaction region instead of using a uniformly refined mesh. While appealing, such an approach is difficult to implement as the system of linear algebraic...
This paper introduced a parallel implementation of numerical manifold method based on multiprocessor platforms. First, the computing performance for a class of rock engineering problems was analyzed. For solving simultaneous equations is the most time consuming, we choose parallelized Jacobi's iterative method to speed up the computing process. The implementation of parallel Jacobi's iterative method...
During the past years, many different registration methods have emerged. These usually lead to different results and one faces the problem of choosing the most appropriate. To mitigate this issue, several algorithms have been developed to include prior knowledge in order to force the registration to have a physical behavior. The use of most of these methods in daily practice is cumbersome because...
IC design is driven by two simultaneous trends: miniaturization of microelectronics technology, and telecommunication market expansion. When considered at a user level, these trends seem to be compatible: by making devices smaller, integration of a larger number of functionalities in your smart phone is made possible and thus boosts the development of the telecom market. From an IC designer point...
Recently fluorescence tomography is developed as a promising way for non-invasive molecular-based imaging, especially for small animals. Based on a certain forward model with known optical properties, the distribution of fluorescence parameter could be estimated by proper inversion techniques. In this work, a novel fast inversion algorithm is applied to a linear scheme, which is generated by solving...
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