Jorge,
vector and matrix objects as described here are Sage constructions.
Behind the scenes different packages might do the computations (such
as numpy).
I don't know MATLAB, but here's a way to square every entry of a
matrix ("process the data"). Might be an easier way that I don't
know.
sage: a=matrix(2,2,[[1,2],[3,4]])
sage: matrix(2, 2, map(lambda x: x^2, a.list()))
[ 1 4]
[ 9 16]
Rob
On Mar 24, 8:05 pm, calcp...@aol.com wrote:
> Well, that was easy! So are these SAGE objects that you have to
> construct? Its not clear where this code comes from. Is it a python
> object, is it from maxima, gap, what?
>
> Still, these constructs do not preserve the matrix paradigm from
> MATLAB. For example, in MATLAB you can pass a matrix as an input
> parameter and process all the data in the matrix. I that like a List
> object in python? I thought I read somewhere in the SAGE dox that this
> was possible. I don't know why I'm thinking its a scipy thing. What
> do you use scipy and numpy for? BTW, does SAGE use VPython?
>
> How about another sample:
> OCTAVE INPUT FILE:
> #!/usr/bin/octave -q
> diary vector2.txt
>
> %vector2.m MrG 2010.0324
> %purpose: playing with the cross product
>
> %initialize 2 vectors in R^3
> a=[1 0 5]
> b=[-2 1 0]
>
> %vector cross product
> c=cross(a,b)
> area=norm(c)
> theta1=asin(area/norm(a)/norm(b))
> theta2=theta1*180/pi
>
> %scalar dot product
> d=dot(a,b)
> theta3=acos(d/norm(a)/norm(b))
> theta4=theta3*180/pi
>
> %triple scalar product
> e=[1 1 1]
> vol=abs(dot(e,c))
>
> %vector dilation
> f=2*a
> g=-3*b
>
> OCTAVE OUTPUT FILE:
> a =
>
> 1 0 5
>
> b =
>
> -2 1 0
>
> c =
>
> -5 -10 1
>
> area = 11.225
> theta1 = 1.3945
> theta2 = 79.897
> d = -2
> theta3 = 1.7471
> theta4 = 100.10
> e =
>
> 1 1 1
>
> vol = 14
> f =
>
> 2 0 10
>
> g =
>
> 6 -3 -0
>
> TIA,
> A. Jorge Garciahttp://calcpage.tripod.com
>
> Teacher & Professor
> Applied Mathematics, Physics & Computer Science
> Baldwin Senior High School & Nassau Community College
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