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These are questions asked by C_R

How to factor out sqrt(2)...

C_R 3602 Maple
radical incomplete-question
December 27 2025
3 10

I am looking for a command that extracts sqrt(2) from

sqrt(4 + (-2*x - 2)*y)

The expression above is a subexpression of a larger expression generated by Maple (an integral).
In this situation manual workarounds are impractical and errorprone.

Ideally Maple should return

sqrt(2)*sqrt(2 - (x + 1)*y)

I tried simplify, factor, collect and so on...

In case that there is nothing (which I doubt):
Why is Maple not having simple commands that do extraction (and absortion/inclusion) of factors?

(extract and absorb are names not used so far that would be easy to remember.)  

Update - example of an expression:

expr := Int(sqrt(-2*alpha^2*x - 2*alpha^2 + 4)/(sqrt(-alpha^2 + 1)*(-alpha^2*x - alpha^2 + 2)), alpha = 0 .. z) = EllipticF(z, sqrt(2*x + 2)/2)

Online Help's error messages' links bloc...

C_R 3602 Maple
documentation online
December 20 2025
0 3

When clicking on a pink error message I get this

Can someone explain what is going on? Quite unusual for me all this.

I do not have a server to white list. What can I do about it?

Is that Sucuri thing safe?

Symbolic regression...

C_R 3602 Maple
optimization symbolic regression
December 13 2025
2 20

By symbolic regression I mean an algorithm that determines a model (fit function) that fits best to a data set.

Are there any commands, packages, libraries or MaplesPrime post that are helpful in this regrad?

Edit: For the data set below a symbolic regression could ideally algortihm return "simple" models (formulas)  that use a "minimal" number of terms.

data_set := [[0, 0.], [.1, -0.192545973e-2], [.2, -0.57548536e-2], [.3, -0.93691571e-2], [.4, -0.116497299e-1], [.5, -0.122768958e-1], [.6, -0.114535757e-1], [.7, -0.96377097e-2], [.8, -0.73398894e-2], [.9, -0.50026258e-2], [1.0, -0.29489933e-2], [1.1, -0.13773796e-2], [1.2, -0.3802267e-3], [1.3, 0.288809e-4], [1.4, -0.1112403e-3], [1.5, -0.7312233e-3], [1.6, -0.1747389e-2], [1.7, -0.3072868e-2], [1.8, -0.4624615e-2], [1.9, -0.6327418e-2], [2.0, -0.8115810e-2], [2.1, -0.9934627e-2], [2.2, -0.11738712e-1], [2.3, -0.13492153e-1], [2.4, -0.15167275e-1], [2.5, -0.16743558e-1], [2.6, -0.18206567e-1], [2.7, -0.19546942e-1], [2.8, -0.20759491e-1], [2.9, -0.21842382e-1], [3.0, -0.22796451e-1], [3.1, -0.23624612e-1], [3.2, -0.24331323e-1], [3.3, -0.24922213e-1], [3.4, -0.25403690e-1], [3.5, -0.25782692e-1], [3.6, -0.26066441e-1], [3.7, -0.26262258e-1], [3.8, -0.26377439e-1], [3.9, -0.26419110e-1], [4.0, -0.26394196e-1], [4.1, -0.26309316e-1], [4.2, -0.26170744e-1], [4.3, -0.25984403e-1], [4.4, -0.25755853e-1], [4.5, -0.25490243e-1], [4.6, -0.25192364e-1], [4.7, -0.24866612e-1], [4.8, -0.24517040e-1], [4.9, -0.24147342e-1], [5.0, -0.23760880e-1], [5.1, -0.23360701e-1], [5.2, -0.22949566e-1], [5.3, -0.22529948e-1], [5.4, -0.22104070e-1], [5.5, -0.21673916e-1], [5.6, -0.21241260e-1], [5.7, -0.20807663e-1], [5.8, -0.20374513e-1], [5.9, -0.19943032e-1], [6.0, -0.19514256e-1], [6.1, -0.19089134e-1], [6.2, -0.18668453e-1], [6.3, -0.18252883e-1], [6.4, -0.17843021e-1], [6.5, -0.17439353e-1], [6.6, -0.17042293e-1], [6.7, -0.16652162e-1], [6.8, -0.16269229e-1], [6.9, -0.15893717e-1], [7.0, -0.15525760e-1], [7.1, -0.15165506e-1], [7.2, -0.14812994e-1], [7.3, -0.14468255e-1], [7.4, -0.14131340e-1], [7.5, -0.13802188e-1], [7.6, -0.13480766e-1], [7.7, -0.13167023e-1], [7.8, -0.12860860e-1], [7.9, -0.12562203e-1], [8.0, -0.12270906e-1], [8.1, -0.11986869e-1], [8.2, -0.11709977e-1], [8.3, -0.11440094e-1], [8.4, -0.11177068e-1], [8.5, -0.10920752e-1], [8.6, -0.10671030e-1], [8.7, -0.10427731e-1], [8.8, -0.10190686e-1], [8.9, -0.9959797e-2], [9.0, -0.9734839e-2], [9.1, -0.9515736e-2], [9.2, -0.9302291e-2], [9.3, -0.9094362e-2], [9.4, -0.8891836e-2], [9.5, -0.8694538e-2], [9.6, -0.8502346e-2], [9.7, -0.8315094e-2], [9.8, -0.8132637e-2], [9.9, -0.7954917e-2], [10.0, -0.7781747e-2]]

[[0, 0.], [.1, -0.192545973e-2], [.2, -0.57548536e-2], [.3, -0.93691571e-2], [.4, -0.116497299e-1], [.5, -0.122768958e-1], [.6, -0.114535757e-1], [.7, -0.96377097e-2], [.8, -0.73398894e-2], [.9, -0.50026258e-2], [1.0, -0.29489933e-2], [1.1, -0.13773796e-2], [1.2, -0.3802267e-3], [1.3, 0.288809e-4], [1.4, -0.1112403e-3], [1.5, -0.7312233e-3], [1.6, -0.1747389e-2], [1.7, -0.3072868e-2], [1.8, -0.4624615e-2], [1.9, -0.6327418e-2], [2.0, -0.8115810e-2], [2.1, -0.9934627e-2], [2.2, -0.11738712e-1], [2.3, -0.13492153e-1], [2.4, -0.15167275e-1], [2.5, -0.16743558e-1], [2.6, -0.18206567e-1], [2.7, -0.19546942e-1], [2.8, -0.20759491e-1], [2.9, -0.21842382e-1], [3.0, -0.22796451e-1], [3.1, -0.23624612e-1], [3.2, -0.24331323e-1], [3.3, -0.24922213e-1], [3.4, -0.25403690e-1], [3.5, -0.25782692e-1], [3.6, -0.26066441e-1], [3.7, -0.26262258e-1], [3.8, -0.26377439e-1], [3.9, -0.26419110e-1], [4.0, -0.26394196e-1], [4.1, -0.26309316e-1], [4.2, -0.26170744e-1], [4.3, -0.25984403e-1], [4.4, -0.25755853e-1], [4.5, -0.25490243e-1], [4.6, -0.25192364e-1], [4.7, -0.24866612e-1], [4.8, -0.24517040e-1], [4.9, -0.24147342e-1], [5.0, -0.23760880e-1], [5.1, -0.23360701e-1], [5.2, -0.22949566e-1], [5.3, -0.22529948e-1], [5.4, -0.22104070e-1], [5.5, -0.21673916e-1], [5.6, -0.21241260e-1], [5.7, -0.20807663e-1], [5.8, -0.20374513e-1], [5.9, -0.19943032e-1], [6.0, -0.19514256e-1], [6.1, -0.19089134e-1], [6.2, -0.18668453e-1], [6.3, -0.18252883e-1], [6.4, -0.17843021e-1], [6.5, -0.17439353e-1], [6.6, -0.17042293e-1], [6.7, -0.16652162e-1], [6.8, -0.16269229e-1], [6.9, -0.15893717e-1], [7.0, -0.15525760e-1], [7.1, -0.15165506e-1], [7.2, -0.14812994e-1], [7.3, -0.14468255e-1], [7.4, -0.14131340e-1], [7.5, -0.13802188e-1], [7.6, -0.13480766e-1], [7.7, -0.13167023e-1], [7.8, -0.12860860e-1], [7.9, -0.12562203e-1], [8.0, -0.12270906e-1], [8.1, -0.11986869e-1], [8.2, -0.11709977e-1], [8.3, -0.11440094e-1], [8.4, -0.11177068e-1], [8.5, -0.10920752e-1], [8.6, -0.10671030e-1], [8.7, -0.10427731e-1], [8.8, -0.10190686e-1], [8.9, -0.9959797e-2], [9.0, -0.9734839e-2], [9.1, -0.9515736e-2], [9.2, -0.9302291e-2], [9.3, -0.9094362e-2], [9.4, -0.8891836e-2], [9.5, -0.8694538e-2], [9.6, -0.8502346e-2], [9.7, -0.8315094e-2], [9.8, -0.8132637e-2], [9.9, -0.7954917e-2], [10.0, -0.7781747e-2]]

 (1)

plots:-pointplot([[0, 0.], [.1, -0.192545973e-2], [.2, -0.57548536e-2], [.3, -0.93691571e-2], [.4, -0.116497299e-1], [.5, -0.122768958e-1], [.6, -0.114535757e-1], [.7, -0.96377097e-2], [.8, -0.73398894e-2], [.9, -0.50026258e-2], [1.0, -0.29489933e-2], [1.1, -0.13773796e-2], [1.2, -0.3802267e-3], [1.3, 0.288809e-4], [1.4, -0.1112403e-3], [1.5, -0.7312233e-3], [1.6, -0.1747389e-2], [1.7, -0.3072868e-2], [1.8, -0.4624615e-2], [1.9, -0.6327418e-2], [2.0, -0.8115810e-2], [2.1, -0.9934627e-2], [2.2, -0.11738712e-1], [2.3, -0.13492153e-1], [2.4, -0.15167275e-1], [2.5, -0.16743558e-1], [2.6, -0.18206567e-1], [2.7, -0.19546942e-1], [2.8, -0.20759491e-1], [2.9, -0.21842382e-1], [3.0, -0.22796451e-1], [3.1, -0.23624612e-1], [3.2, -0.24331323e-1], [3.3, -0.24922213e-1], [3.4, -0.25403690e-1], [3.5, -0.25782692e-1], [3.6, -0.26066441e-1], [3.7, -0.26262258e-1], [3.8, -0.26377439e-1], [3.9, -0.26419110e-1], [4.0, -0.26394196e-1], [4.1, -0.26309316e-1], [4.2, -0.26170744e-1], [4.3, -0.25984403e-1], [4.4, -0.25755853e-1], [4.5, -0.25490243e-1], [4.6, -0.25192364e-1], [4.7, -0.24866612e-1], [4.8, -0.24517040e-1], [4.9, -0.24147342e-1], [5.0, -0.23760880e-1], [5.1, -0.23360701e-1], [5.2, -0.22949566e-1], [5.3, -0.22529948e-1], [5.4, -0.22104070e-1], [5.5, -0.21673916e-1], [5.6, -0.21241260e-1], [5.7, -0.20807663e-1], [5.8, -0.20374513e-1], [5.9, -0.19943032e-1], [6.0, -0.19514256e-1], [6.1, -0.19089134e-1], [6.2, -0.18668453e-1], [6.3, -0.18252883e-1], [6.4, -0.17843021e-1], [6.5, -0.17439353e-1], [6.6, -0.17042293e-1], [6.7, -0.16652162e-1], [6.8, -0.16269229e-1], [6.9, -0.15893717e-1], [7.0, -0.15525760e-1], [7.1, -0.15165506e-1], [7.2, -0.14812994e-1], [7.3, -0.14468255e-1], [7.4, -0.14131340e-1], [7.5, -0.13802188e-1], [7.6, -0.13480766e-1], [7.7, -0.13167023e-1], [7.8, -0.12860860e-1], [7.9, -0.12562203e-1], [8.0, -0.12270906e-1], [8.1, -0.11986869e-1], [8.2, -0.11709977e-1], [8.3, -0.11440094e-1], [8.4, -0.11177068e-1], [8.5, -0.10920752e-1], [8.6, -0.10671030e-1], [8.7, -0.10427731e-1], [8.8, -0.10190686e-1], [8.9, -0.9959797e-2], [9.0, -0.9734839e-2], [9.1, -0.9515736e-2], [9.2, -0.9302291e-2], [9.3, -0.9094362e-2], [9.4, -0.8891836e-2], [9.5, -0.8694538e-2], [9.6, -0.8502346e-2], [9.7, -0.8315094e-2], [9.8, -0.8132637e-2], [9.9, -0.7954917e-2], [10.0, -0.7781747e-2]])

  

CurveFitting:-Interactive(data_set)

NULL

Download regression_dataset.mw

Typesetting: What does this example demo...

C_R 3602 Maple
typesetting typeset
December 13 2025
1 2

I do not understand the following typesetting example from this helpage.

> 

with(Typesetting)
> 

interface(typesetting = extended)
> 

Typeset(BesselJ(v, x))

BesselJ(v, x)

 (1)

NULL

Same output without Typeset

BesselJ(v, x)

BesselJ(v, x)

 (2)

NULL

Download Typeset.mw

Why the Typeset call when the output does not change. Is the helppage maybe broken? It says Examples but lists only one.

If MapleSoft read this: Some more typesetting examples would be helpfull.

Why are roots mixed in this plot, and ho...

C_R 3602 Maple
plot plot3d rootof
December 05 2025
1 9

In the below plot switches between to solutions of a RootOf expression when the plot range starts at zero.

plot3d on the other hand sticks to one root.

Why is that and how to get a plot starting at zero showing only one root?

restart

a := RootOf(JacobiCN(sqrt(2)*sqrt(alpha), (1/2)*sqrt(2)*_Z)^2*_Z^2+_Z^2-2)

RootOf(JacobiCN(2^(1/2)*alpha^(1/2), (1/2)*2^(1/2)*_Z)^2*_Z^2+_Z^2-2)

 (1)

allvalues(a)

RootOf(JacobiCN(2^(1/2)*alpha^(1/2), (1/2)*2^(1/2)*_Z)^2*_Z^2+_Z^2-2)

 (2)

plot(a, alpha = 0 .. .5)

  

eval(a, [alpha = 1/20])

RootOf(JacobiCN((1/20)*2^(1/2)*20^(1/2), (1/2)*2^(1/2)*_Z)^2*_Z^2+_Z^2-2)

 (3)

evalf(allvalues(RootOf(JacobiCN((1/20)*2^(1/2)*20^(1/2), (1/2)*2^(1/2)*_Z)^2*_Z^2+_Z^2-2)))

1.024662619, -1.024662619

 (4)

_ValuesMayBeLost

true

 (5)

plot3d(a)

  

NULL

Download plot_of_RootOf.mw

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