interpolation

问题 I have a set of x,y and z data (each is a 3000 by 1 matrix) and I would like to interpolate this data to have a set of values for the z height at evenly spaced x and y values. I assume I need to mesh grid the x and y data sets, but I don't know how to interpolate for the z data. The data points are the unique vertices taken from an STL file, and so I'm looking to smooth out the resulting surface. Any help much appreciated , Tom. 回答1: you have the matlab function interp2 then your code will be

问题 I have some discrete coordinates with their heights and I need to create a smooth surface which I will continue to use. I need to have heights for all the coordinates in that surface. I was considering using a 3D spline but I am having trouble applying the methods suggested in comparable kind of questions. I am not an experienced programmer so I would probably find any suggestions helpful. Please forgive me if I may asked something very similar to what was already discussed before. I am using

问题 How can you calculate the joint weight values of a point on a face in maya. Say we have a plane and we want to calculate what it's interpolated weight would be at an arbitrary point on the face. I know the copy skin weights tool in maya does a great job of this interpolation, but am not sure of the math behind it. import maya.cmds as cmds if __name__ == '__main__': # Build two planes. One with no subdivs and one with 2. plane = cmds.polyPlane(name="plane_GEO", subdivisionsX=1, subdivisionsY=1

问题 I have a vector with different values. Some of the values are zeros and sometimes they even come one after another. I need to plot this vector against another vector with the same size but I can't have zeros in it. What is the best way I can do some kind of interpolation to my vector and how do I do it? I tried to read about interpolation in mat-lab but I didn't understand good enough to implement it. If it's possible to explain it to me step by step I will be grateful since I'm new with this

问题 I have a question regarding the interpolation of some vectors which can not be monotonic. The data vectors looks as follow: x = x1 = y = 20.0000 21.6000 32 21.8000 19.8000 132 22.2000 18.0000 193 21.4000 16.6000 351 20.2000 17.0000 576 20.6000 16.0000 649 20.3000 13.4000 686 19.4000 12.2000 806 16.9000 11.4000 1117 15.8000 11.2000 1252 15.6000 10.9000 1281 15.3000 9.7000 1379 14.8000 9.2000 1527 14.5000 8.7000 1577 12.4000 7.2000 1943 11.8000 5.0000 2047 10.4000 3.0000 2282 5.3000 2.1000 2840

问题 I'd like to quad or cube interpolate a long series of floats (or vectors) in 1d, where long could be 1E+05 or 1E+06 (or more). For some reason SciPi's handy interp1d() 's time overhead to prepare the interpolators scales as almost n^3 for both quadratic and cubic splines, taking over a minute for a few thousand points. According to comments here (a question I will delete, I'm keeping it there temporarily for comment access) it takes a milli-second on other computers, so something is obviously

问题 Right now I have a ScrollViewer control in a Windows Store Application which surrounds an Image element. I am trying to make a pixel art editor but when the ScrollViewer is zoomed in the Image's contents are interpolated. Is there currently any way to force the image to be scaled in nearest neighbor mode? EDIT: I decided I should put some code to clarify what I'm trying to do, so here it is: <ScrollViewer x:Name="Container" HorizontalAlignment="Stretch" VerticalAlignment="Stretch" ZoomMode=

问题 I'm using bicubic filtering to smoothen my heightmap, I implemented it in GLSL: Bicubic interpolation: (see interpolate() function bellow) float interpolateBicubic(sampler2D tex, vec2 t) { vec2 offBot = vec2(0,-1); vec2 offTop = vec2(0,1); vec2 offRight = vec2(1,0); vec2 offLeft = vec2(-1,0); vec2 f = fract(t.xy * 1025); vec2 bot0 = (floor(t.xy * 1025)+offBot+offLeft)/1025; vec2 bot1 = (floor(t.xy * 1025)+offBot)/1025; vec2 bot2 = (floor(t.xy * 1025)+offBot+offRight)/1025; vec2 bot3 = (floor

问题 I'm working with an ODE model the one I have to put a vector in a variable and then solve it, but I have some parameters which depends on some of the equations of the model, like auxiliar functions/equations but I get this error: Error using Hovorka2004_Prueba>fun Too many output arguments. Error in odearguments (line 88) f0 = feval(ode,t0,y0,args{:}); % ODE15I sets args{1} to yp0. Error in ode45 (line 114) [neq, tspan, ntspan, next, t0, tfinal, tdir, y0, f0, odeArgs, odeFcn, ... Error in

问题 I have some missing data like :-- 1995 1996 1997 1998 1999 4 NA NA 5 NA what i want to do here is this :- 1995 1996 1997 1998 1999 4 4.3300001 4.6700001 5 5.0000002 Iam able to write code for the above interpolation (missing and stale data) but........ The data i input is not always clean. It might come as 1995 1996 1997 1998 1999 4.032 NA NA 5.134 5.0000002 This might interrupt with the precision of the interpolated numbers (who go to 7 decimal places) So i wanted to round off the data