algebra
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In PR #4557 we added InstallEarlyMethod and used it to merge FirstOp and First. Something similar should be done for more operations, following the pattern outlined in PR #4557
Here is a partial lists of operations where it may make sense to do so:
- in
coll.gdListOpSumOpProductOpFilteredOpNumberOpForAllOpForAnyOp
- in
list.gd
Logo for Interactive
The package I want to suggest the idea to: AngouriMath.Interactive
The current logo includes Jupyter logo which is incorrect (since you can use that pkg in VSC Notebooks or in console etc.).
[Here](https://drive.google.com/file/d/1Y8TwuEjL0-YO2DCE6c_qs8TrhGJES_tL/view?usp=sharing
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In addition to the current acceptable arguments for Q.Matrix, it ought to accept a Template literal (Template string) as a solo argument to make it trivially easy for something like this:
var m = new Q.Matrix(`
1 2 3 4
5 6 7 8`)This makes the task of creating arbitrary matrices much more human readable than passing nested Arrays, or even just a series of Arrays.
L1-L1 IRLS
Feature
The IRLS algorithm can handle L1 norm for the data misfit term as well as L1 norm for the model. However, in some scenarios users may want to have both terms together (problem with outliers in the data and sparse model in some domain). The IRLS algorithm can be adapted to handle this scenario by writing the L1-L1 functional as an augmented system of equations and solve it using the c
Someone interested in improving the Symja help/tutorial?
Please improve the markdown documents here:
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Feb 11, 2022 - OCaml
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I noticed that
CooMatrix::push_matrixdoes not threshold or detect zero elements in the input. Thus the resulting sparse matrix is more dense than it needs to be. By comparison, constructing a matrix using, e.g.,CscMatrix::from, does detect entries that are exactly zero and does not include them in the resulting sparse matrix. If there isn't a rationale for the difference in behavior, may I s