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线性方程组求解与方程组性态讨论
- 线性方程组求解与方程组性态讨论(实验报告)三次样条插值问题,数值积分,微分方程数值解,线性方程组的迭代解法,非线性方程的迭代解法-solving linear equations and the equations behavior discussion (Experiment), cubic spline interpolation, numerical integration, the numerical solution of differential equations, linear
MATLAB实现拉格朗日、分段线性、三次样条三种插值的方法
- MATLAB实现拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析,MATLAB realization of Lagrange, piecewise linear, cubic spline interpolation in three ways, changing the number of nodes, interpolation of three preliminary analysis of the results
interpolation
- matlab各种插值算法应用实例,包括：拉格朗日插值、艾特肯插值法、牛顿插值法、 高斯插值法、 埃尔米特插值法、 分段埃尔米特插值法、样条插值、有理分式插值法、分片双线性插值、二元三点拉格朗日插值及分片双三次埃尔米特插值-a variety of interpolation algorithm matlab application examples include: Lagrange interpolation, Aitken interpolation, Newton interpolatio
simulation
- MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法-matlab
jisuanff
- 含有线性插值, 样条插值,Gauss矩阵列主元消去法等算法的实现- Includes the linear interpolation, the transect interpolation, Gauss 鐭╅樀鍒?涓诲厓 娑堝幓娉?and so on the algorithm realization
shuzhifenxi
- 本程序设计采用C语言编程，采用二分法和牛顿法计算了一个方程的根，用给出的已知条件计算出三次样条插值，最后计算了一个11元线性方程组的根。正文中介绍了每个题目的详细分析步骤，附录中附有程序清单。-The program design using C language programming, the use of dichotomy and Newton
123456
- 根据所给样本数据用三种不同的方法绘制该公路并估计其长度。 分别用线性插值法、最近邻域插值法和三次样条插值法计算公路长度，并用勾股定理估计公路的长度 -According to the sample data in three different ways, the road map and estimate its length. , Respectively, by linear interpolation, nearest neighbor interpolation domain
Raw
- 本程序能够实现RAW文件和BMP图像的均衡化处理，RAW文件转化为BMP，图像缩放（最近邻差值方式、双线性插值、三次B样条插值），两幅图像的相似度比较-This procedure can be achieved RAW image files and BMP balanced treatment, RAW files into BMP, image scaling (the margin nearest neighbor approach, bilinear interpolation, th
main
- 分段线性插值，分段二次多项式插值，分段三次多项式插值，三次样条插值-Piecewise linear interpolation, sub-quadratic polynomial interpolation, sub-cubic polynomial interpolation, cubic spline interpolation
fit
- 用差分方程或数值微分解决简单的实际问题。 实验3 插值与数值积分 l 插值问题提法和求解思路 l Lagrange插值的原理和优缺点 l 分段线性和三次样条插值的原理和优缺点 l 用MATLAB实现分段线性和三次样条插值 l 梯形、辛普森积分公式的原理及MATLAB实现 l 数值积分公式的误差——收敛阶的概念 l 高斯积分公式 l 广义积分与多重积分 l 用插值和数值积分解决
analysis2
- 数值分析B计算实习作业二：分别用分段线性插值、分段二次多项式插值、 分段三次多项式插值和三次样条插值对所给的数据进行细化 -Numerical Analysis of B calculated internship operation II: piecewise linear interpolation, respectively, sub-quadratic polynomial interpolation, sub-cubic polynomial interpolation and
interp
- 实现拉朗日插值、线性插值、样条插值，用MATLAB计算两种二维插值的方法。-Implementation date lalang interpolation, linear interpolation, spline interpolation, calculated using MATLAB in two methods of two-dimensional interpolation.
fenglong07323206
- 一个菜单界面，分别用菜单命令来绘制原数据曲面图，线性插值，最近点插值，3次多项式插值，3次样条插值后的图形，每次插值都可以在同一图形界面下比较插值前后图形。-A menu interface, respectively, using the menu command to map the original data surface map, linear interpolation, nearest point interpolation, polynomial interpolation 3
chazhi
- Language 求已知数据点的拉格朗日插值多项式 Atken 求已知数据点的艾特肯插值多项式 Newton 求已知数据点的均差形式的牛顿插值多项式 Newtonforward 求已知数据点的前向牛顿差分插值多项式 Newtonback 求已知数据点的后向牛顿差分插值多项式 Gauss 求已知数据点的高斯插值多项式 Hermite 求已知数据点的埃尔米特插值多项式 SubHermite 求已知数据点的分段三次埃尔米特插值多项式及其插值点处的值 SecSampl
fenduanxianxingchazhi
- 分段线性样条差值的matlab仿真，用于数值计算-Piecewise linear spline margin matlab simulation, for the numerical calculation
szfx
- 数值计算Matlab插值，包含拉格朗日，线性，三次样条！-MATLAB MATLAB MATLAB MATLAB MATLAB
chazhiruanjianbao
- 这是一个涵盖了Newton插值、线性插值、分段差值、三次样条插值、Hermite插值的一个插值软件包。-This is a cover of the Newton interpolation, linear interpolation, piecewise difference, cubic spline interpolation, Hermite interpolation of an interpolation package.
interp1
- 一个ＭＡＴＬＡＢ源函数，用来计算插值，可以选择使用线性，三次样条插值，Hermite插值等方法，希望对大家有用。-A MATLAB source function, used to calculate the interpolation, you can choose to use linear, cubic spline interpolation, Hermite interpolation, in the hope that useful.
插值runge现象
- 针对高次插值runge的学习代码，比较段数N不同时分段线性插值和三次样条插值，均给出误差曲线。(In view of the learning code of high order interpolation Runge, the number of comparison segments N does not simultaneously piecewise linear interpolation and three cubic spline interpolation, and the e
非参数估计SO2浓度
- 用5种非参数方法：线性样条、B样条、N-W核估计、最近邻估计、局部多项式对某地SO2浓度数据进行拟合。(5 non parametric methods: linear spline, B spline, N-W kernel estimation, nearest neighbor estimation, and local polynomial are used to fit the SO2 concentration data in a certain area.)