sudoku

我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-ClassificationProblems)

考普森教授在这本书中，使用经典的分析方法，给出了严谨的一阶和二阶线性偏微分方程理论方面的知识。(in this book， professor copson gives a rigorous account of the theory of partial differential equations of the first order and of linear partial differential equations of the second order， using the methods of classical analysis.)

说明：  研究舍入误差的例程，可以帮助初学计算方法的人。(Of rounding error in the routine that can help beginners who calculation.)

贝叶斯网络结构学习爬山算法的改进方法，更准确(Improved Bayesian network structure learning climbing algorithm, more accurate)

用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性(Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods)

说明：  经过优化的C代码实现的Gauss-Seidel 迭代算法(Optimized C code of the Gauss-Seidel iterative algorithm)

汪德灌教授那本 计算水力学书后的 perisiman 隐式差分法源代码的 c++版本，我是在fortran代码中改过来的，书中的fortran代码有错误， 请较高人才得以突破 这个东西应该比较有用的吧， 尤其对刚接触这方面知识的 注释很详细哦 而且有输入文件(Professor Wang Deguan that the calculation of hydraulics perisiman after the implicit difference method source code c++ Version, I was changed from fortran code, and the book fortran code error, please talents to break with this higher things you should be more useful, especially for刚接触this regard very detailed knowledge of the Notes and the input file Oh)

利用预估矫正方法解分数阶常微分方程，该方法适用于线性和非线性分数阶常微分方程(using PECE method to solve fractional ordinary differential equation)

迭代算法用在曲面，曲线拟合，很好的一个算法(The iterative algorithm used in the surface, curve fitting, a good algorithm)

用最小二乘法进行电力系统状态估计，包含IEEE30节点的电力系统图(Using least squares power system state estimation, including IEEE30 bus power system diagram)