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I would like to extract data from a 2D plot to compare my numerical result in Matlab. 

I used this command.

However, I need to spesify the nodes on x axis to get the error in Matlab. My matlab codes give the result as fix step size i.e [0 0.1 0.2 ... 1.0] or [0 0.01 0.02 ... 1.00] etc.

Is there any command in Maple to spesify the nodes on x axis?

Thanks you!

Hi everybody,

I have never done statistics in Maple.  In a simple calculation, I need to calculate the RMS of 55 numbers.  The average of those numbers is 100484.3 and it is given that the RMS is 1.28 counts.  I have the a list of the 55 numbers.  Since I don't need a demonstration, it would help me a lot if you could tell me how to load the data from a *.txt file (one number per line), and use the appropriate commands to obtaine the result that is only given.

For the moment, I only need the steps to proceed with the calculations and how to do it in Maple.

Thank you very much in advance for your help.


Mario Lemelin
Maple 18 Ubuntu 13.10 - 64 bits
Maple 18 Win 7 - 64 bits messagerie : téléphone :  (819) 376-0987

I am recently using maple to plot poincare surface of section, and when I do the harmonic hamiltonian I need to fix different values of p1,q1,p2 and q2 in a tyler series expansion. So i'm expected to use the numbers from a txt file to caculate the tyler series expansion. But after i realize the "readdata" code, i don't know what to do next...

Can anybody tell me how to operate those data please?

Thank you very much!

By the way, I'm not a native English speaker, if my question is unclear please ask me for confirming...



I have some data:

Matrix(10, 2, {(1, 1) = 0, (1, 2) = 0, (2, 1) = .5, (2, 2) = 3.25, (3, 1) = 1.0, (3, 2) = 5.82, (4, 1) = 1.5, (4, 2) = 7.50, (5, 1) = 2.0, (5, 2) = 8.79, (6, 1) = 2.5, (6, 2) = 9.83, (7, 1) = 3.0, (7, 2) = 10.66, (8, 1) = 3.5, (8, 2) = 11.35, (9, 1) = 4.0, (9, 2) = 11.94, (10, 1) = 4.5, (10, 2) = 12.46})


I want Maple to make a trendline fitting a Logarithmic function. I can make it output some function with this:

LeastSquares(`<,>`(.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5), `<,>`(3.25, 5.82, 7.50, 8.79, 9.83, 10.66, 11.35, 11.94, 12.46), x, curve = a+b*ln(x))

It outputs:



But please notice, the dataset in the function does not have the first 0 and 0. If i do that:

LeastSquares(`<,>`(0, .5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5), `<,>`(0, 3.25, 5.82, 7.50, 8.79, 9.83, 10.66, 11.35, 11.94, 12.46), x, curve = a+b*ln(x))

It outputs: 

Error, (in Matrix) numeric exception: division by zero


Besides that, i need the R-squard value for determinating how well it fits.


If i do the same thing i Excel the data set will give a formular: 5.5464ln(x)-0.2175 with a R-sward value of 0.9985.


How can i do this i maple?


Thanks in Advance!



Emil Kristensen

Dear All,

I have a simple question, Thanks of your remarks

I would like to find the slope of a line:


I Want to find the slope of this line. How????

In ode solve command i generated a large array data. The output shows a large order matrix of this form


[110001x6 Matrix





I want to export this matrix into a notepad. Which can then be used for plotting in TecPlot. 


Looking for good response



Hi there!

I wrote a piece of code which spits out the numerical datapoints (x,y(x)) corresponding to a function y(x). So that the result is accurate, I need quite a lot of data points - currently I am working with 5k.

In order to work with this function later, I interpolated it with a Spline. For instance, I would like to sample the function values on a fifferent grid, etc.. However the evaluation of this function really takes up hell of a lot of time, and the reason seems to be, that it, being a spline on 5k nodes, is simply a huge expression.

Is there a better way to do this? Are other fitting functions than a spline maybe better suited?

Thanks for help!







              dm1 := Vector(4, {(1) = ` 36 x 2 `*Matrix,

                        (2) = `Data Type: `*float[8], (3) = `Storage: `*rectangular, (4) = `Order: `*Fortran_order})


           dm2 := Vector(4, {(1) = ` 32 x 2 `*Matrix,

                    (2) = `Data Type: `*float[8], (3) = `Storage: `*rectangular, (4) = `Order: `*Fortran_order})


                       dm3 := Vector(4, {(1) = ` 28 x 2 `*Matrix, (2) = `Data Type: `*float[8], (3) = `Storage:                                         `*rectangular, (4) = `Order: `*Fortran_order})

How to combine these three matrices into a single one with four columns (y, F(0,0.8)(y), F(0.1,0.8)(y), F(0.2,0.8)(y) )?




Dear All,


I have a .txt file with a single line. I tried to import it using ImportMatrix commnad (e.g. ImportMatrix(filename)) but always got the incomplete data, 

I attach the file for further reference:



Anything I am missing ?





I have a programme which examine how well a particular set of data fits a theoretical function.

In fact, I faced a problem : the programme returns only one solution and I guess in an arbitrary way.

I would like to find a way to define an interval in which the programme seeks solutions .

How can I do so?


with (Optimization)
[ImportMPS, Interactive, LPSolve, LSSolve, Maximize, Minimize, NLPSolve,QPSolve];

data := [[2.954488^2, 1.644900e-5], [3.132092^2,1.614900e-5], [3.307416^2, 1.594200e-5], [3.471311^2, 1.550700e-5], [3.559775^2, 1.450200e-5], [3.669332^2, 1.499400e-5], [3.825572^2, 1.476900e-5], [3.962449^2, 4.133000e-8], [4.200714^2, 1.320900e-5],
[4.434636^2, 1.433400e-5], [4.638319^2, 1.259100e-5], [4.832908^2, 1.258500e-5], [5.078484^2,
1.216200e-5], [5.315167^2, 1.164300e-5], [5.662155^2, 1.131000e-5], [5.916080^2, 1.082400e-5],
[6.208865^2, 1.054800e-5], [6.526868^2, 1.002600e-5], [6.880407^2, 1.006200e-5], [7.243618^2, 9.594000e-6], [7.607233^2,
9.288000e-6], [7.916439^2, 8.958000e-6], [8.320457^2, 8.664000e-6], [8.721812^2, 8.439000e-6], [9.007774^2, 8.325000e-6], [8.721812^2, 8.439000e-6], [9.007774^2,8.325000e-6], [9.393083^2, 7.878000e-6], [9.668506^2, 7.755000e-6], [9.988994^2,7.623000e-6], [10.40192^2, 7.367000e-6], [10.94532^2, 6.928000e-6], [11.38244^2,6.812000e-6], [11.85200^2, 6.720000e-6], [12.18811^2, 6.422000e-6], [12.67281^2, 6.403000e-6], [12.96341^2,6.514000e-6], [13.49185^2, 6.032000e-6], [13.76590^2, 6.103000e-6], [14.4072^2,6.143000e-6], [14.45476^2, 6.095000e-6], [14.76313^2, 5.758000e-6], [15.09868^2,6.965000e-6]]:

f:= x -> abs(((2*(c*exp(-b*1.5e-6)/(2*150*(c^2-((1+I)*(sqrt(3.14*x/8.5e-5)))^2)))*(2*(((1-I)*c/(2*(sqrt(3.14*x/8.5e-5))))-((0.026/150)*sqrt(8.5e-5/2e-5)))*exp(-c*0.5e-3)+((1+((0.026/150)*sqrt(8.5e-5/2e-5)))*(1-((1-I)*c/(2*(sqrt(3.14*x/8.5e-5)))))*exp(((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3))-((1-((0.026/150)*sqrt(8.5e-5/2e-5)))*(1+((1-I)*c/(2*(sqrt(3.14*x/8.5e-5)))))*exp(-((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3)))+(b/(2*a*(b^2-((1+I)*(sqrt(3.14*x/9e-6)))^2)*((2*(1-((0.026/150)*sqrt(8.5e-5/2e-5)))*(1+((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150)))*exp(-((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3-b*1.5e-6))-(2*(1+((0.026/150)*sqrt(8.5e-5/2e-5)))*(1-((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150)))*exp(((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3-b*1.5e-6))-((1-((0.026/150)*sqrt(8.5e-5/2e-5)))*(1-((a/150)*sqrt(8.5e-5/9e-6)))*(1-((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(-((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3+((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))-((1-((0.026/150)*sqrt(8.5e-5/2e-5)))*(1+((a/150)*sqrt(8.5e-5/9e-6)))*(1+((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(-((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3-((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))+((1+((0.026/150)*sqrt(8.5e-5/2e-5)))*(1+((a/150)*sqrt(8.5e-5/9e-6)))*(1-((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3+((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))+((1+((0.026/150)*sqrt(8.5e-5/2e-5)))*(1-((a/150)*sqrt(8.5e-5/9e-6)))*(1+((1-I)*b*a/(2*(sqrt(3.14*x/8.5e-5))*150))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3-((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))))/(((1-((0.026/150)*sqrt(8.5e-5/2e-5)))*exp(-((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3))*(((1-((a/150)*sqrt(8.5e-5/9e-6)))*(1+((0.026/150)*sqrt(8.5e-5/2e-5))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))+((1+((a/150)*sqrt(8.5e-5/9e-6)))*(1-((0.026/150)*sqrt(8.5e-5/2e-5))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(-((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6)))-((1+((0.026/150)*sqrt(8.5e-5/2e-5)))*exp(((1+I)*(sqrt(3.14*x/8.5e-5)))*0.5e-3))*(((1+((a/150)*sqrt(8.5e-5/9e-6)))*(1+((0.026/150)*sqrt(8.5e-5/2e-5))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6))+((1-((a/150)*sqrt(8.5e-5/9e-6)))*(1-((0.026/150)*sqrt(8.5e-5/2e-5))/((a/150)*sqrt(8.5e-5/9e-6)))*exp(-((1+I)*(sqrt(3.14*x/9e-6)))*1.5e-6)))))))*((1+I)*(sqrt(3.14*x/2e-5)))*exp(-190e-6*((1+I)*(sqrt(3.14*x/2e-5))))):

residuals := map(p -> (f(p[1])-p[2]), data):
R:= LSSolve(residuals);


I have to make a plot for experimental data where x corresponds to time and y is the concentration. So I loaded the values in two lists, ran fit to least squares and got the best fitting curve (it's linear). However, the line has to start at (0,0). How can I Maple to do that for me?

hi all..

i m solving a system of four coupled differential equations using bvp[midrich] technique on maple..

i have two questions..

1). is it possible to calculate the numerical data using bvp[midrich] instead of graphs?

2). there is a physical constant "A" in my second equation..can i compute its numerical values while fixing all other physical parameters of my equations...

As described on the help page ?updates,Maple17,Performance, Maple 17 uses a new data structure for polynomials with integer coefficients. Our goal was to improve the performance and parallel speedup of polynomial algorithms that underpin much of the system and create a platform for large scale polynomial computations. Shown below is the new representation for 9xy3z

Let say that you have two datasets:

z1 := GetCSV("");
z2 := GetCSV("

April 08 2013 marc005 3048 Maple 16

quandl ( has a great feature called superset (you need a free acount)
where the user can combine different data variables (4 000 000 to choice from) into a big
dataset (csv file) that can be downloaded from a permenant web url. This a great data feed
for maple. The problem is however that you have to use stringtools (quite messy) in maple to
extract the data. Hence, it would be great to have a simple procedure that only needs the web

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