I am having some trouble with IEEE floating point rules preventing compiler optimizations that seem obvious.For example,
I am reading the standard (Numerical Recipes and GSL C versions are identical) implementationof Brent root finding algorithm, and canno开发者_运维问答t understand the meaning of variable \"e\". The us
This is a relatively long post. F# has a matrix and vector type(in PowerPack not in the Core) now. This is great! Even Python\'s numerical computing ability is from the third part.
Has anyone dealt with re-distributing an application that uses the Numerical Algorithms Group (NAG) Libraries?
Could 开发者_JAVA百科you please give at least two examples of each. Thanks.Numerical problems are those in which there is a calculation of some numerical quantity.The inputs, outputs, and states tend
In Scala, I\'d like to be able to write generic classes which use operators like >, /, * etc, but I don\'t see how to constrain T such that this will work.
It is often hard to find the origin of a NaN, since it can happen at any step of a computation and propagate itself.
Basically I\'d like to do something like that: int[3] array_func() { return {1,1,1}; } int main(int argc,char * argv[])
I am curious about performance of Java numerical algorithms, say for example matrix matrix double precis开发者_JS百科ion multiplication, using the latest JIT machines as compared for example to hand t
I\'ve been starting to use Fortran (95) for some numerical code (generating python modules). Here is a simple example:
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