Search - Root of a Polynomial

Search - Root of a Polynomial - List

[matlab] matrix-tezhengzhijisuan DL : 0: 通过求矩阵特征多项式的根来求其特征值幂法求矩阵的主特征值及主特征向量瑞利商加速幂法求对称矩阵的主特征值及主特征向量收缩法求矩阵全部特征值收缩法求矩阵全部特征值位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 QR基本算法求矩阵全部特征值 -Characteristic polynomial by the root of a matrix to find the eigenvalues of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values
Date : 2025-12-19 Size : 3kb User : chris_zhou
[matlab] Laguerremethod DL : 0: find root of a polynomial using Laguerre s algorithm
Date : 2025-12-19 Size : 1kb User : qt
[matlab] sROOOT_MUSICCi DL : 0: 简洁但是经典的Root Music DOA 算法，是用多项式求解解的方法来寻找DOA(Direction of Arrival ) -The simple but classic Root Music of DOA algorithm is a polynomial solution method to find the DOA (the Direction of Arrival)
Date : 2025-12-19 Size : 1kb User : 面积
[matlab] SRGTSToolbox DL : 5: SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能：实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。基于代理的优化：高效的全局优化（EGO）算法。其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)
Date : 2025-12-19 Size : 354kb User : pluto1888