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原始单纯型算法求解优化问题,此算法程序注释简介明了,通俗易懂,便于学习。-Original simplex algorithm to solve optimization problems, this algorithm program notes brief introduction and clear, user-friendly, easy to study.
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常见算法设计的源代码。配合著名的那本“算法导论”。其中主要包括:
归并排序
活动选择问题
矩阵链乘问题
矩阵链乘问题的备忘录解法
逆序对问题
求和问题
装配线问题
最短路径Dijkstra算法和堆操作
-Common algorithm design of the source code. With the well-known that the " Introduction to Algorithms." Which mainly i
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一种基于FFT的IMDCT算法,来自Marina Bosi的《Introduction to Digital Audio Coding and Standards》一书。-The IMDCT algorithm based on FFT, from the book "Introduction to Digital Audio Coding and Standards".
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An Introduction to the Conjugate Gradient Method Without the Agonizing Pain written by Jonathan Richard Shewchuk.Algorithm of conjugate gradient method introduced in this file is easy to read and understand.-An Introduction to the Conjugate Gradient
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椭圆曲线加密系统的介绍,以及各种加密算法的实现。-Introduction to elliptic curve encryption system, and various encryption algorithm.
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In recent years, spectral clustering has become one of the most popular modern clustering algorithms.
It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms
traditional clustering algo
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稀疏矩阵算法及其程序实现(杨绍祺)。本书较全面的介绍了在求解非线性代数方程组,非线性微分方程组和非线性优化等问题时所产生的稀疏线性化代数方程组的稀疏矩阵算法。-Sparse matrix algorithm and program implementation (Yang Shaoqi). More comprehensive introduction to the book in solving nonlinear algebraic equations, nonlinear differen
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This book presents a comprehensive and unifying introduction to kernel adaptive fi ltering. Adaptive signal processing theory has been built on three pillars: the linear model, the mean square cost, and the adaptive least - square learning algo
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The Strongly connected component algorithm. This is my exercise of Introduction to Algorithm subject.
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KPCA是一种基于核的主要成分分析,是一种由线性到非线性之间的桥梁。通过非线性函数把输入空间映射到高维空间,在特征空间中间型数据处理,引入核函数,把非线性变换后的特征空间内积运算转换为原始空间的核函数计算。
基本思想是通过某种隐士方法将输入空间映射到某个高维空间(特征空间),并在特征空间实现PCA。对该算法进行了详细的说明-KPCA is a kernel-based principal components analysis, is a bridge between the linear
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Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained
non-convex cost-function over a D-dimensional space. This algorithm
permits an annealing schedule for "temper
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改进的算法导论中的fft代码,将nlogn的复杂度下降到n,编译成功,4096个数据点时常为2秒。-Fft code in the Introduction of the improved algorithm will be the nlogn of complex decreased to n successful compile 4096 data points from time to time for two seconds.
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算法分析与设计,贪心算法解决活动安排问题,从data.txt文件中读取所要安排的活动的数量和活动的开始和介绍时间,输出选择的活动,在安排活动的过程中不移动活动的顺序。-Number of algorithm analysis and design, greedy algorithm for solving activities arrangements, from the the data.txt file read to arrange activities and the activitie
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针对Projection迭代反演算法对噪声极其敏感, 及在实际应用中造成粒度测量失真的问
题, 引入Vondrak数据平滑算法对Projection反演进行平滑处理。借助Visual C+ + 6. 0开发
平台, 编写测试软件对算法应用进行了仿真研究。通过分析比较平滑处理前后的反演结果, 得
出Vondrak数据平滑处理算法的引入有效提高了Projection反演的抗干扰性能。实验结果表
明: 基于Vondrak数据平滑处理的Projection反演结果能够反映粒度的真实分布,
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算法导论为最经典的算法书籍,内容丰富且有深度。(Introduction to Algorithm is the most classic algorithm book.)
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