The kernel conjugate gradient (KCG) algorithms have been proposed to improve the convergence rate and the filtering accuracy of kernel adaptive filters (KAFs) efficiently. However, sparsification is necessary in the KCG algorithms to curb the growth of network structure for online applications. T...
An evaluation of reordering algorithms to reduce the computational cost of the incomplete Cholesky-conjugate gradient method 2018, Computational and Applied Mathematics SPRING: a novel parallel chaos-based image encryption scheme 2018, Nonlinear Dynamics A novel multi–graphics processing unit parallel optimi...
A C++ library of the linear conjugate gradient algorithms Conjugate-gradient optimization linear-system cuda Eigen C++ 等5 种语言 LGPL-2.1 发行版 (4) 全部 Major updates 3年前 liblcg 开源评估指数 生产力 创新力 稳健性 协作 贡献者 软件 贡献者 (3) 全部 近期动态 2年前推...
Generally, we need to point out that this CNN design methodology inspired by optimization algorithms is an important part in differential programming. A common practice is firstly using an iterative algorithm to solve a well-defined problem, and then mapping the iterations to a data flow graph, ...
ABCD performs a greedy search over the space of models (as defined by the grammar). The kernel parameters of each proposed model are optimised by a conjugate-gradient method; the model with optimised parameters is then evaluated using the Bayesian Information Criterion [29]: ...
As stated in the preface, one of our strong motivations for writing this book is given by the historical success of the numerical and real inversion formulas of the Laplace transform which is a famous typical ill-posed and very difficult problem. In this
Each system was solvated and neutralized in a cubical box containing a 0.150 M NaCl and TIP3P water model55solution with a padding distance of 13.5 Å. Energy minimization involved both steepest-descent and conjugate-gradient algorithms. System equilibration was performed in three successive...
Over the past decades, many interesting image restoration algorithms are developed [16], [17], [18], [19]. All the infrared image restoration models can be classified into three kinds, analytic prior-based image restoration (APIR), synthetic prior-based image restoration (SPIR) and feature le...
Manual segmentation was facilitated by intensity-based thresholding and region-growing algorithms. The original MRI scans and the manually segmented masks were visualized by 3D maximum intensity projections as shown in Fig. 2. This provided an overview of the manually segmented results which allowed ...
Fortunately, the Fredholm integral equation of the first kind could be discretized and solved by many inverse algorithms, e.g. the generalized eikonal approximation (GEA) method [23,24], the conjugate gradient algorithm (CGA) [25], and the generalized cross-validation (GCV) [26]. Show ...