Line intersections

Line intersections - An example of translation of a function from Matlab to Smath - Mensajes

#21 Publicado: 16/2/2018 9:01:36
Alvaro

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Just an exercise on Smath to test functionalities and capabilities.
Try the attached file and play with it.

Thanks
Marco
InterX.sm (85,93 KiB) descargado 1437 vez(es).



Hi Marco. Here some comments about your great file. As you suggest, I play with it.
Best regards.
Alvaro.

InterX.r1.sm (77,75 KiB) descargado 1276 vez(es).

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Andrey Ivashov 16/2/2018 12:30:00
#22 Publicado: 16/2/2018 11:55:14
Jean Giraud

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Try the attached file and play with it.



1. Marco => still computing after 15 min ? !
2. Alvaro => red from top to bottom
#23 Publicado: 16/2/2018 12:24:05
Jean Giraud

Jean Giraud

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Try the attached file and play with it.


Attached is about timing in work sheet.
Observe the sequential timing [black].
t0:=time(1) is in collapsed area.

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#24 Publicado: 16/2/2018 12:31:14
Andrey Ivashov

Andrey Ivashov

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Hi Marco. Here some comments about your great file. As you suggest, I play with it.
Best regards.
Alvaro.


1 min 53 sec on my windows tablet pc.
#25 Publicado: 16/2/2018 13:09:46
Fridel Selitsky

Fridel Selitsky

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1 min 53 sec on my windows tablet pc.


SMath Studio 0.99.6611 time(0)-to =83.735 s on my windows10


#26 Publicado: 16/2/2018 13:31:34
NDTM Amarasekera

NDTM Amarasekera

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Originally Posted by: Andrey Ivashov [url=/forum/yaf_postsm47126_Line-intersections.aspx#post47126][/url]

1 min 53 sec on my windows tablet pc.
SMath Studio 0.99.6611time(0)-to =83.735 son my windows10



Time taken in my win 10 laptop with SS 0.99.6619 shown.

InterXr1.JPG
Look within!... The secret is inside you. Best Regards Eng. NDTM Amarasekera - Sri Lanka
#27 Publicado: 16/2/2018 13:54:42
Davide Carpi

Davide Carpi

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5 min 25 s (win 10 x64, intel i5 quad core 2.40GHz)
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#28 Publicado: 16/2/2018 15:07:54
Davide Carpi

Davide Carpi

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5 min 25 s (win 10 x64, intel i5 quad core 2.40GHz)



reduced to 30-35 seconds using ranged indices to replace stack/augment/submatrix (most heavy operations were in stack/augment under loops)

InterX.r1 - ranged indices.sm (87,61 KiB) descargado 1243 vez(es).
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Andrey Ivashov 16/2/2018 15:13:00
#29 Publicado: 16/2/2018 15:11:46
Andrey Ivashov

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18 seconds on my env.

Great! Thank you Davide!
#30 Publicado: 16/2/2018 15:49:26
Andrey Ivashov

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BTW, I would suggest to use another version of plotG which is much faster then previous one (and simplier):
plotG.PNG

plotG(x,y,char,size,color):line(k:range(1,rows(x)),augment(x,y,el(r3,k):char,el(r4,k):size,el(r5,k):color),2,1)
plotG(xy,char,size,color):line(k:range(1,rows(xy)),augment(xy,el(r3,k):char,el(r4,k):size,el(r5,k):color),2,1)

Best regards.
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Davide Carpi 16/2/2018 20:54:00
#31 Publicado: 16/2/2018 16:18:55
Alvaro

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Hi. Just one more thing, I guess: the only one remaining matlab function, mwfind replaced. (Orignal work have many) If I'm not wrong, it is now 100% SMath native. But double the amazing time obtained by Davide. But it's just a "scalar" implementation, sure there are better ones.

Best regards.

Alvaro.

PD: I don't replace plotG because don't understand very well that syntax.

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#32 Publicado: 16/2/2018 16:45:48
Andrey Ivashov

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I don't replace plotG because don't understand very well that syntax.


It is simple - ranged indexes used.

Just take a look at the speed:
plotG_2.PNG

Best regards.
#33 Publicado: 16/2/2018 16:59:17
Alvaro

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Wrote

I don't replace plotG because don't understand very well that syntax.


It is simple - ranged indexes used.



Thanks for the explanation, now I see the speed increment, and I don't think that it could be that big difference before you show it.

But actually the plotG(4) routine was which confuse me. I prefer

plotG(xy,char,size,color):if(cols(xy)>1,plotG(col(xy,1),col(xy,2),char,size,color),plotG(Re(xy),Im(xy),char,size,color))

because I think that any good plot implementation must to use complexes but not couple of reals. So, if xy argument have only one column, one can assume that data are as Z = X + iY.

Best regards.

Alvaro.
#34 Publicado: 16/2/2018 17:08:15
Davide Carpi

Davide Carpi

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Citar

because I think that any good plot implementation must to use complexes but not couple of reals. So, if xy argument have only one column, one can assume that data are as Z = X + iY.



Andrey misses this detail of your function about the complex values, but you can still do it; keep the if statement and replace the loops (the case with more than a column as shown by Andrey doesn't require the col() functions, this is redundant and time consuming... If you think that more than 2 columns might be provided, add the case and a single sumbatrix instead )
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Alvaro 16/2/2018 17:45:00
#35 Publicado: 16/2/2018 18:24:21
Arie

Arie

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But double the amazing time obtained by Davide. But it's just a "scalar" implementation, sure there are better ones.



Here's my pure SMATH find function. with similar time to MWFIND.

InterX.r1 - ranged indices_alyles.sm (94,58 KiB) descargado 1235 vez(es).
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Andrey Ivashov 16/2/2018 18:41:00, sergio 17/2/2018 6:31:00, Davide Carpi 16/2/2018 20:57:00, Alvaro 16/2/2018 22:03:00
#36 Publicado: 17/2/2018 9:35:24
Martin Kraska

Martin Kraska

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BTW, I would suggest to use another version of plotG which is much faster then previous one (and simplier):
plotG.PNG

plotG(x,y,char,size,color):line(k:range(1,rows(x)),augment(x,y,el(r3,k):char,el(r4,k):size,el(r5,k):color),2,1)
plotG(xy,char,size,color):line(k:range(1,rows(xy)),augment(xy,el(r3,k):char,el(r4,k):size,el(r5,k):color),2,1)

Best regards.



For such uses it would be good if the augment and stack functions could expand scalar arguments (or more generally any arguments not matching the maximum number of rows or cols) to uniformly populated vectors of the required size).

Then the above example wouldn't even need a helper function as you could write
augment(x,y,"*",10,"red"

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Davide Carpi 17/2/2018 15:23:00, Radovan Omorjan 17/2/2018 12:43:00
#37 Publicado: 17/2/2018 9:39:40
Andrey Ivashov

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Very good suggestion, Martin! I think I could do this.

Best regards.
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Davide Carpi 17/2/2018 15:23:00, frapuano 17/2/2018 10:20:00, Radovan Omorjan 17/2/2018 12:43:00, Martin Kraska 17/2/2018 9:41:00
#38 Publicado: 17/2/2018 13:20:11
Radovan Omorjan

Radovan Omorjan

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For such uses it would be good if the augment and stack functions could expand scalar arguments (or more generally any arguments not matching the maximum number of rows or cols) to uniformly populated vectors of the required size).

Then the above example wouldn't even need a helper function as you could write

augment(x,y,"*",10,"red"


I also vote for that augment() and stack () functionality.

In that case, we could even have "plot" functions (with the same functionality as augment())

plot(x,y)
plot(x,y,"*"
plot(x,y,"*",10)
plot(x,y,"*",10,"red"
This efforts are, of course, not justified if the micro Mathematics plot style would be introduced.

Regards,
Radovan
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frapuano 19/2/2018 7:14:00
#39 Publicado: 18/2/2018 22:58:48
Jean Giraud

Jean Giraud

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Hello Marco,

I'm trying for the intersection of the two Trifolium, .
blue => native ... red => rotated.
They are created in "Page1 Trifolium.sm
Then recalled for the InterX(T1,T2)
Nothing happens >>> 1 hr ? [Win 7 Starter Edition ... 1.66 GHz]
Is it supposed to work ? Thanks in advance.

Page1 Trifolium.sm (32,5 KiB) descargado 1475 vez(es).

Maths InterseX [Marco].sm (51,7 KiB) descargado 1008 vez(es).
#40 Publicado: 19/2/2018 0:26:16
Alvaro

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Hi Jean.

You are using an old version of the program. Try this one.

Notice that the point (0,0) is found several times by the algorithm. It could be interesting to check if it get the correct number of crosses at the origin.

Best regards.

Alvaro.

cross.jpg

InterX.r1 - ranged indices_alyles.sm (88,24 KiB) descargado 1192 vez(es).
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