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SparseLib + +是一个c++类库,为在不同的计算机平台进行有效稀疏矩阵的计算。这个软件组成对象包含了目前正在使用的几种稀疏矩阵存储格式(在这个版本:压缩行、压缩列和协调格式),提供基本的功能,节约稀疏矩阵存储空间和计算时间。-SparseLib++ is a C++ class library for efficient sparse matrix computations
across various computational platforms. The software
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Iterative Solutions is committed to the mission of developing accurate and efficient software for the simulation of modern communication systems. All software is licensed as open source software under the Lesser GPL. The code is designed to run in ma
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The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However,
you should beware that the convergence tolerance must be carefully selected. Because the
convergence criterion is based on the error between iterations,
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KMEAN C#
In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results in a partitioning of the data sp
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Calculate the eigenvalues of many 3x3 real symmetric matrices.-Calculate the eigenvalues of many 3x3 real symmetric matrices. Computation is non-iterative, based on fully vectorized matlab matrix operations, and GPU computation is supported. It is fa
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高斯-赛德尔迭代法，一种有效的迭代算法，可用于模型求解-Gauss- Seidel iterative method, an efficient iterative algorithm can be used to solve the model
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置信传播是一中很有效的算法，将其应用于检测，通过在检测与译码之间迭代交换传递信息，并有选择地通过单边消息传递来更新信息，降低系统实现的复杂度。 -Belief propagation is a very efficient algorithm to be applied to the detection, the information transmitted by the exchange between the iterative detection and decoding, and to
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The BEADS toolbox jointly addresses the problem of simulateous baseline correction and noise reduction, for positive and sparse signals arising in analytical chemistry (Raman, infrared, XRD, etc.), here applied to gas chromatography signals. The base
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求解耦合方程的内双迭代有效算法，用于求解NS方程-Inner Doubly Iterative Efficient Algorithm for Linked Equations
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牛顿迭代法解非线性方程组，快速、高效。精度也很高。-Newton iterative method for solving nonlinear equations, fast and efficient. Accuracy is also high.
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Bregman Algorithm for Anisotropic TV denosing
Bregman算法各向异性TV去噪B(The methods studied here are based on the Bregman iterative regularization, and efficient algorithm for convex, constraint optimization problems. We study two different versions of th
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This paper focuses on improving the solution techniques
for the AC problem of active power dispatch by
using the DC approximation within the algorithm.
Our approach brings two benefits compared with benchmark
algorithms: it speeds up the solutio
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3 机9 节点数据 潮流计算在数学上属于多元非线性方程组的求
解问题，在用迭代法求解时涉及到大量的矢量和矩阵运算，因而寻求一个能高效
地处理矩阵运算的语言，将给潮流计算程序的编制带来巨大的方便.(Power flow calculation is mathematically the solution of multivariate nonlinear equations.
Solving the problem involves a large number of vector
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