Bilinear-interpolation

安德森/计算流体力学/fortran源代码(第九章esimple算法）(Anderson/Computational Fluid Dynamics/fortran source code (Chapter esimple algorithm))

大量数值分析常见算法的源程序 如解方程组 插值等 可以用浏览器打开的HTM文件，内部使用C开发(A large number of numerical analysis algorithms common source such as the solution of equations interpolation can be used to open the browser)

《高等计算力学》教材的源程序,非线性有限元计算程序(" Advanced Computational Mechanics" of the source material)

说明：  特征值分解，HouseHolder分解等(matlab Linear Algebra Package)

对该模型参数辨识采用递推最小二乘法，即 RLS（ recurisive least square）， 它是一种能够对模型参数进行在线实时估计的辨识方法。(The recursive least square method is used to identify the parameters of the model, that is, rls (recurisive least square), which is an online real-time estimation method for the model parameters)

说明：  本程序基于matlab进行了声波在固体中的仿真模拟。(This procedure carried out based on sound waves in matlab in the simulation of solid.)

用于多学科设计优化中代理模型技术，移动最小二乘法是代理模型方法的一种(For multidisciplinary design optimization in the agent model, the moving least squares method is a kind of agent model)

一些简单的UDF文件，实现流场中梯度和某一点压力的检测提取(Some UDF profiles)

一组很好的FDTD计算二维光子带隙的程序，matlab 7.0以上版本适用(a good group of FDTD calculation of two-dimensional photonic bandgap procedures, Matlab 7.0 and above versions of the application)

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)