# Math.NET Numerics

Welcome to our official feedback forum. Do you have an idea? Do you recognize a good idea when you see one? We want to hear from you!

## Math.NET Numerics

### Categories

1. if it is possible, an extension method ".ToMatrix()" would be also helpful

thank you~

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
2. I love the Estimate function on some of the distributions in the statistical namespace. Chould we try to expand it to be included in IDistribution or IContinuousDistribution and all distributions. I have the code for some more.

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
3. A common (gemeinsames) Interface for Vector and Matrix would be fine.

This would make it easier to implement common methods be using Generics.

Like:

T mapInplace<T>(T t) where T : IMatrix {

``````t.MapInplace(f =&gt; .... );
return f;
``````

}

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
4. I have done it with the Series Jv(x) in Jahnke-Emde -Lösch:
Tables of higher Functions.
Calculation of a given value and plotted in Visual Studio with C#.
Important for FM-Modulation, Calculation....

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
5. 1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
6. Many simluation and some image processing tasks require solving differential equations, such as heat equation and linear elliptic equation (Poisson equation).

In case of 2D data (images), these become partial differential equations (PDEs).

These can be solved in linear time using multigrid preconditioner with some relaxation scheme (Gauss-Seidel, CG, biCG).

Some reference, including source code, can be found in Press et al.: "Numerical Recipes, 3rd edition".

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
7. Hi,

CPU time to perform Matrix diagonalization scales like n^3 where n is the size of the matrix. In many applications, however, one needs to know the top eigenvalues/eigenvectors only.
MKL provides this: "LAPACKE_dsyevr" where one can select how many eigenvalues one wants to compute.
Would be great if this functionality was available in mathnet!

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
8. Levinnson Decomposition (both symmetric and non symmetric) was available in dnAnalytics 0.2 and are highly popular in signal processing. (via alibeirami)

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
9. Allow the following A[row, cols] where each of rows and cols are int arrays.

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
10. The existing constructors of the Histogram function allow for a defined number of buckets or a defined number of buckets with a lower and upper bound. It is also useful to specifically define the buckets. For example, I need to do a histogram of a double[] array in increments of 0.5.

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
11. Currently, the condition Natural/ParaboricallyTerminated/FirstDerivative/SecondDerivative are on "SplineBoundaryCondition", but I'd like to add Periodic on it(I guess this is equivalent to "csape" on MATLAB).

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
12. A function that can evaluate a square matrix for eiganvalues and eiganvectors similar to MATLAB's eig() function.

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
13. Support Weighted and EMA (Exponential Moving Average) in addition to existing simple moving average in MathNet.Numerics.Statistics

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
14. I am a finance professional who is currently using python to run vector autogression. I would prefer to implement in a .NET stack.

The python library is called statstools and there is a similar package in R called VAR.

https://github.com/statsmodels/statsmodels/blob/master/docs/source/vector_ar.rst#id5

I am happy to get involved in adding this feature but may need support.

1 vote
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
15. This should allow functionality similar to MATLAB:
Suppose that A is the following matrix

A = [ 10 20 30 40 ;

``````     11 21 31 41;
12 22 32 42;
13 23 33 43]
``````

and I = { 1, 2, 4 } and J = { 3, 4 }

A_IJ = A[I, J]

should return a slice of the matrix according to the indices specified:
A_IJ = [ 30 40;

``````         31 41;
33 43 ]
``````

The same idea is very useful for arrays and it should work in both directions, for example:

A[I, J] += some3by2matrix;

The same…

Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)
Vote
(thinking…) Signed in as (Sign out)
You have left! (?) (thinking…)

Not in mainline but in one of the forks – to be merged back into mainline once ready

17. Support Weighted and EMA (Exponential Moving Average) in addition to existing simple moving average in MathNet.Numerics.Statistics 