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Would be nice to have a degree function that we can use as degree(z,x) to extract the degree of z with respect to x (this will help for multi-variable polynomials too).
Also coeff(z,x) to extract a list of coefficients with respect to he variable x . Thus coeff(z,x^2) returns the coefficient with respect to x^2 and so on.
The standard accelerate test suite, used by all the backends, can be quite slow. Several of the tests are significantly slower than the others, for example segmented folds and scans, which I believe is because the reference implementations are very inefficient. Writing some more efficient reference implementations (e.g. using Data.Vector.Unboxed) should help speed things up.
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Suppose
Would be nice to have a
degreefunction that we can use asdegree(z,x)to extract the degree ofzwith respect tox(this will help for multi-variable polynomials too).Also
coeff(z,x)to extract a list of coefficients with respect to he variablex. Thuscoeff(z,x^2)returns the coefficient with respect tox^2and so on.