In his classic book The Visual Display of Quantitative Information, Edward R. Tufte argued that “graphics can be more precise and revealing than conventional statistical computations”. As an example, he described Anscombe’s Quartet–four datasets that have identical simple statistical properties, yet appear very different when graphed.
When building numerical applications, you’ll inevitably be faced with the challenge of taking raw data and computed results and presenting information in a way that makes business sense to the end user. NMath 5.1 added some new visualization features to help. We’ve also worked closely with the team at Syncfusion to make it very easy…
CenterSpace is attending the SC11 conference this week in Seattle. On Tuesday, November 15 at 3:45 pm in the Intel booth, I will be presenting, “Numerical Programming in Managed Code: This Might Just Work.” Please come join us! Whether or not you make it to the presentation, please drop us a line if you’re…
A customer recently asked us for the best method to zero out a vector. We decided to run some tests to find out. Here are the five methods we tried, with any drawbacks and the timings. These were performed on a DoubleVector, v, of length 10,000,000. 1) Create a new vector. This isn’t really clearing…
NMath uses Intel’s Math Kernel Library (MKL) internally. This code contains native, optimized code to wring out the best performance possible. There is a one-time delay when the appropriate x86 or x64 native code is loaded. This cost can be easily controlled by the developer by using the NMathKernel.Init() method. Please see Initializing NMath for…
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