
Implement Laplace transforms
convert laplace space functions to time domain and viceversa
1 vote 
Improving sparse matrix storage CRS by allowing the user to provide the sparsity structure of the matrix.
I'm new to math.net, but I've found some issues with the libraries.
One of these is related to sparsematrix and sparsecompressedrowstorage
I've also wrote a post within the discussion forum, but I've recieved no response.
The problem is simple: I've tried desperately to find a way to assign directly the sparse matrix in CRS format, but I've failed.
It seems that the CSR must be constructed starting from an already existing matrix. This would imply a big performace issue and memory allocation problems.
For istance, if one want to write a program to solve some physical problem with finite element…1 vote 
1 vote

Vector Autoregression
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 
Histogram should allow custom bucket definition
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 
1 vote

Quasi Random Number Generation
Otherwise known as low discrepancy sequences:
https://en.m.wikipedia.org/wiki/Lowdiscrepancy_sequence1 vote 
Implement an extension method ".ToVector()" for convert a IEnumberable to a Vector
if it is possible, an extension method ".ToMatrix()" would be also helpful
thank you~
1 vote 
Implement SetSubMatrix(int[] rowIndices, int[] columnIndices, Matrix<T> subMatrix)
Implement method:
Matrix<T>.SetSubMatrix(int[] rowIndices, int[] columnIndices, Matrix<T> subMatrix)
where
int[] rowIndices
The row indices to copy to.int[] columnIndices
The column indices to copy to.Matrix<T> subMatrix
The submatrix to copy from.This would enable us to set a larger number of entries at the same time.
1 vote 
Bessel Funktions Jn(x),n=0,1,2,3...
I have done it with the Series Jv(x) in JahnkeEmde Lösch:
Tables of higher Functions.
Calculation of a given value and plotted in Visual Studio with C#.
Important for FMModulation, Calculation....1 vote 
Please add Matrix<T> broadcasting.
When working with Deep NNs, there are a lot of "Z = WX + b" operations going on, where matrix WX has the same number of rows as matrix b. But, matrix b is a single column matrix, so we can't just the built in add operations. With broadcasting, matrix b will be treated like a matrix with the same number of columns as WX, but where each column is identical.
1 vote 
Common Interface for Vector and Matrix
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 => .... );
return f;}
1 vote 
Return Vector/Matrix on inplace methods
If someone does one of the inplace Methods, normally this object will be used immediately.
Therefore it makes sense (and is the common way) to return the inplace modified object.
So, instead of
public void MapInplace(Func<T, T> f, Zeros zeros = Zeros.AllowSkip);
a
public Matrix<T> MapInplace(Func<T, T> f, Zeros zeros = Zeros.AllowSkip);
would be good. Also for Vector, and all other inplace methods.
1 vote 
Support Weighted and Exponential Moving Average
Support Weighted and EMA (Exponential Moving Average) in addition to existing simple moving average in MathNet.Numerics.Statistics
1 vote 
Dense and sparse matrix slicing based on input user defined indices
This should allow functionality similar to MATLAB:
Suppose that A is the following matrixA = [ 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…
0 votes 
0 votes
Not in mainline but in one of the forks – to be merged back into mainline once ready

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