nodefstrainstressfiberla002

说明：  带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems)

求两个多项式的最大公约式，多项式按照如下格式输入，如果输入 3 //次数 1 2 3 4 //系数 则表示 1+2x+3x^2+4x^3(For two of the largest convention-type polynomials, polynomial input in accordance with the following format, if you type 3// number 1 2 3 4// coefficient express 1+ 2x+ 3x ^ 2+ 4x ^ 3)

PETSc (Portable, Extensible Toolkit for Scientific Computation) 是美国能源部ODE2000 支持开发的20 多个ACTS 工具箱之一，由Argonne 国家实验室开发的可移植可扩展科学计算工具箱，主要用于在分布式存储环境高效求解偏微分方程组及相关问题。(PETSc (Portable, Extensible Toolkit for Scientific Computation) is ODE2000 U.S. Department of Energy to support the development of one of more than 20 ACTS Toolkit, developed by the Argonne National Laboratory' s Portable, Extensible Toolkit scientific computing, mainly used in the distributed memory efficient environment for solving partial differential equations and related issues.)

说明：  APdL参数化有限元分析技术及其应用实例(APdL parameterized finite element analysis techniques and its application)

this is a source code written in the matlab format for the teaching learning optimization algorithm.

数值分析 很好很快的计算特征值和特征向量的方法，很实用(Very fast numerical analysis computing eigenvalues and eigenvectors of the method, it is practical)

五点差分法(matlab)解椭圆型偏微分方程方程,分法,偏分,五点差分,椭圆型,偏微分方程(Five-point difference method (matlab) solutions of elliptic partial differential equations, sub-law, partial points, five-point difference, elliptic partial differential equations)

satellite-tracking-opensource

正确率可以达到98％，抑制载波型差分相位调制，数据包传送源码程序。( Accuracy can reach 98 , Suppressed carrier type differential phase modulation, Data packet transfer source program.)

针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。(To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method)