求解无约束优化问题wolfe

电力系统连续潮流计算，以牛拉法潮流计算为基础，用来求解系统的PV曲线。(Continuous power system load flow calculation, using bovine Rafah flow calculation, based on the system used to solve the PV curve.)

金属断裂的数值计算提供理论依据及实际详例解读(The numerical calculation of metal fracture provides theoretical basis and interpretation of practical examples)

包括最小二乘法、SVM、神经网络、1_k近邻法,合成孔径雷达（SAR)目标成像仿真，主要是基于mtlab的程序。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Synthetic Aperture Radar (SAR) imaging simulation target, Mainly based on the mtlab procedures.)

说明：  abaqus fortran语言下的dload和vdload程序代码，以显示及隐式实现移动加载(Dload and vdload code in ABAQUS FORTRAN to display and implicitly implement mobile loading)

以上是两个内点法程序，原仿射内点法，对偶仿射内点法。初始内点需要自己给出，自动求解初始内点的程序下次发送(These are the two interior point method procedure, the original affine interior point method, dual affine interior point method. Initial interior point needs its own given the initial interior point solution of automatic procedures to send the next)

适用于ABAQUS的自定义材料子程序，适用于平面单元的随动强化J2模型。(Applies the custom material subroutine in ABAQUS, kinematic hardening J2 model applies to plane unit.)

采用相互垂直的两个振子构成圆极化天线的FDTD程序．可以计算其圆极化波瓣宽度等天线指标 (perpendicular to each other using the two oscillator constitute a circularly polarized antenna FDTD procedures. Can calculate its lobed circular polarization antennas width indicators)

说明：  uel fortran code for CPE4 with analysis of beam example

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)

糊涂先生给他的五个朋友写信，他写了五封信，但是当他的朋友收到信后，都告诉他：“你的信寄错了”。那么请你计算一下：出现这种情况的概率有多少？（假设糊涂先生是随机地往信封里装信的），你能不能把所有的情况都列出来呢(Mr. foolish to write him five friends, he wrote five letters, but when his friend received a letter, told him: )