资源列表
levmar-2.1.2
- 求算非线性最小二乘问题的经典算法。Levenberg-Marquardt算法。-This is levmar, a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm. levmar includes double and single precision LM versions, both with analytic and finite differ
single
- 一般性的奇异值分解算法，float浮点型。-SGGSVD computes the generalized singular value decomposition (GSVD) * of an M-by-N real matrix A and P-by-N real matrix B: * * U*A*Q = D1*( 0 R ), V*B*Q = D2*( 0 R ) * * where U, V and Q are orthogonal matric
single
- 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
MarkwardtIDL
- IDL版的Marquadt优化算法，可求解非线性最小二乘问题-MPFIT uses the Levenberg-Marquardt technique to solve the least-squares problem. In its typical use, MPFIT will be used to fit a user-supplied function (the "model") to user-supplied data points (the "da
simplex_PB06001091
- 线性规划问题的单纯形法的一个实现，c语言实现版本，比较简单-an implement of simplex of lp problem
quadraticcurves
- 应用坐标变换将二次曲线的一般表达式转为标准型，并判别二次曲线类型！-Application of coordinate transformation to the general expression of quadratic curve to the standard type, and determine the type quadratic curve!
Simplex
- 单纯形法C++代码 供大家相互学习交流-Simplex method, C++ code for all to learn from each other
lagelangri
- 此程序时数值分析的拉格朗日算法，该程序将拉格朗日算法的每一个步骤和每一步算法都体现出来。-Numerical analysis of this program, the Lagrangian algorithm, the program will Lagrangian algorithm for each step and every step of the algorithm are demonstrated.
zuixiaoerchengfa
- 此程序时数值分析中的最小二乘法实验，步骤详细。-Numerical analysis of this program in the least-squares method experiment, the steps in detail.
linearkalmanF
- 卡爾曼學習，對初學者有很好的認識，內有範例-Kalman Filter
fft
- 按行进行快速复利叶变换。分配内存、读入要处理的数据、进行显示。-Compounded by fast Fourier transform row. Allocate memory, read to deal with the data to display.