interpolation

问题 I am trying to generate a Catmull-Rom curve from a list of points in Unity. As I do not want to store points in between points of the curve I opted to use a solution that could calculate a position in a Catmull-Rom curve based on time. There are a few examples of this, here and here, however, neither shows how to implement alpha. The reason I want to implement alpha is so I can have the ability to change between a centripetal, chordal, and uniform Catmull-Rom curve. private Vector3

问题 I have a variable $var that has values as another variable $env . $env has some value . how can I use $var to print the value of $env. > set xyz = 'abc' set env = 'xyz' set v = '$' set var = "$v""$env" > > echo $var o/p: $xyz now I want to print the value the of $ xyz using $var 回答1: Use eval , like this: set xyz='abc' set var='xyz' eval echo \$$var This is more commonly known as an indirect reference . Here is an example script: set var = 'xyz' set xyz = 'abc' if ( $?var ) then echo '$var is

问题 ORIGINAL QUESTION I have the following kernel performing an interpolation with nonuniform node points, and I would like to optimize it: __global__ void interpolation(cufftDoubleComplex *Uj, double *points, cufftDoubleComplex *result, int N, int M) { int i = threadIdx.x + blockDim.x * blockIdx.x; int PP; double P; const double alfa=(2.-1./cc)*pi_double-0.01; double phi_cap_s; cufftDoubleComplex temp; double cc_points=cc*points[i]; double r_cc_points=rint(cc*points[i]); temp = make

问题 Apologies if I overlooked this problem in another thread, but I was unable to find it (here or really anywhere on the internet). In Windows (XP), I have the following global environment variable which I set by right-clicking My Computer , then choosing Properties > Advanced > Environment Variables : CUSTOM_HOME = c:\some\folder\path How do I interpolate this into an execution within a batch file? I need to "append" subfolder\program.exe to this path so that I get c:\some\folder\path\subfolder

问题 I need to interpolate multi index dataframe: for example: this is the main dataframe: a b c result 1 1 1 6 1 1 2 9 1 2 1 8 1 2 2 11 2 1 1 7 2 1 2 10 2 2 1 9 2 2 2 12 I need to find the result for: 1.3 1.7 1.55 What I've been doing so far is appending a pd.Series inside with NaN for each index individually. As you can see. this seems like a VERY inefficient way. I would be happy if someone can enrich me. P.S. I spent some time looking over SO, and if the answer is in there, I missed it: Fill

问题 I'm trying to plot an spatial map from a lon-lat data set. Following the example in https://stackoverflow.com/a/19339663/709777 I am able to almost get the desired result This is the code used (most of it from the previously cited question) library(rgdal) library(ggplot) # read province limits CV = readOGR(dsn=".", layer="poligonos_provincia_etrs89") CV.pr=subset(CV, CV$CODINE == "46" | CV$CODINE == "12" | CV$CODINE == "03" ) # convert object to data.frame CV2 <- fortify(CV.pr) # read spatial

问题 In this jsfiddle, label transitions from one text to another by decreasing font of old text, and in turn increasing the font of new text. However, I would like new text to apperar in "typewriter" fashion, like in this jsfiddle. How to write a custom D3 text interpolator that will enable text transitioning in this "typewriter" way? 回答1: Interesting ideas, both get the job done, but there's a d3-specific way to do this: a custom tween function. Fiddle here: http://jsfiddle.net/QbysN/3/ Code:

问题 If the hue component of my HSL color is in degrees, how can I correctly interpolate between two hues? Using (h1 + h2) / 2 does not seem to produce desirable results in all cases. Here are two examples that illustrate why: Let: red = 0° yellow = 60° blue = 240° (red + yellow) / 2 = 30° (orange) (yellow + blue) / 2 = 150° (blue green) (red + blue) / 2 = 120° (green) As you can see, averaging red and blue produces green instead purple/magenta! However, if we let: red = 360° yellow = 60° blue =

问题 I'm sorry for the somewhat confusing title, but I wasn't sure how to sum this up any clearer. I have two sets of X,Y data, each set corresponding to a general overall value. They are fairly densely sampled from the raw data. What I'm looking for is a way to find an interpolated X for any given Y for a value in between the sets I already have. The graph makes this more clear: In this case, the red line is from a set corresponding to 100, the yellow line is from a set corresponding to 50. I

问题 I have a pandas dataframe which I interpolate to get a daily dataframe. The original dataframe looks like this: col_1 vals 2017-10-01 0.000000 0.112869 2017-10-02 0.017143 0.112869 2017-10-12 0.003750 0.117274 2017-10-14 0.000000 0.161556 2017-10-17 0.000000 0.116264 In the interpolated dataframe, I want to change data values to NaN where the gap in dates exceeds 5 days. E.g. in the dataframe above, the gap between 2017-10-02 and 2017-10-12 exceeds 5 days therefore in the interpolated