I don't think you gave enough
I don't think you gave enough information to indicate why you would consider MKL or IPP for this. A macro expression such asa[0] + x * (a[1] +x * a[2] + x*x * (a[3] + x * a[4]))should be sufficient.
View Articlethere are no such functions
there are no such functions neither in MKL or IPP which make polynomials calculations. Tim gave you good example how you can compute it.in the case if the inputs would be vectors, then you can reuse...
View ArticleThanks for the insight. I
Thanks for the insight. I was looking for polynomial evaluation, because i was trying to implement 2D interpolation, such that i can interpolate using Cubic splines. There i would have to evaluate...
View ArticleHello,
Hello,Present version of Intel(R) MKL supports 1D spline based interpolation only. Data Fitting component of the library provides routines for spline construction and relevant computations such as...
View ArticleWe did try using the 1D
We did try using the 1D spline from MKL and found that the speed up was about 2x from our implementation, for a case where we were evaluating 10k different points on the same spline. I think MKL is...
View ArticleThank you much for the
Thank you much for the addtional details. While your request about support of 2D case is valid for the further analysis, let me provide additional details about 1D case.As you mention, performance...
View ArticleQuote:TimP (Intel) wrote:
Quote:TimP (Intel) wrote:I don't think you gave enough information to indicate why you would consider MKL or IPP for this. A macro expression such asa[0] + x * (a[1] +x * a[2] + x*x * (a[3] + x *...
View ArticleTake a look at ippr.h header
Take a look at ippr.h header file:... /* // Name: ipprResize_"mode" // Purpose: Performs RESIZE transform of the source volume // by xFactor, yFactor, zFactor and xShift, yShift, zShift // |X'|...
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