SplineCSharp

使用奇异值分解来帮助求解最小二乘问题，特别是在方程系数矩阵不满秩的情况下。(SGELSD computes the minimum-norm solution to a real linear least * squares problem: * minimize 2-norm(| b- A*x |) * using the singular value decomposition (SVD) of A. A is an M-by-N * matrix which may be rank-deficient.)

说明：  包含马尔可夫预测、贝叶斯决策、模糊聚类分析、模糊综合评价方法等多种计算方法(Including Markov prediction, Bayesian decision-making, fuzzy clustering analysis, fuzzy comprehensive evaluation and other calculation methods)

最小二乘法求超定线性方程组得C＋＋模板，还包括矩阵求逆，矩阵乘法等小函数(Overdetermined least-squares method of linear equations have to C templates, also includes matrix inversion, matrix multiplication, such as small function)

多点高斯平稳随机过程模拟，运用了快速傅里叶变换进行模拟。(Multi-Gaussian stationary random process simulation, using a fast Fourier transform simulation.)

关于多智能体系统一致性的程序，解微分方程(Consistency of multi-agent systems program)

计算多材料单元平均应力应变,用于提取计算等效弹性模量 泊松系数(Calculate the average stress-strain of multi-material elements)

说明：  复合材料层内基于断裂韧性退化的VUMAT子程序(VUMAT subroutine based on fracture toughness degradation in composite laminates)

说明：  Umat Abaqus for plasticity

求矩阵奇异分解svd算法，共计4种实现方式，(for SVD matrix decomposition algorithm, for a total of four kinds of achievement,)

It is a code for simulation of fast slam in matlab