Optimize many variables
Optimize many variables
(OP)
Hi,
I've got a quick question: Imagine you have a field of 100x100x3 points with known spacings. Each individual point can be moved by a known range in x, y and z. Your task it to maximize the volume enclosed by the points. Now easiest thing might be to use an optimization algorithm however, due to having so many data points it is fairly impossible due to computing power restrictions. So could I just optimize it for a lets say 5x5x2 field and then scale the results? Is there any academic background supporting this so I can justify the method? So far it seems to work but I'd prefer to have something backing it up.
Thank you very much!
I've got a quick question: Imagine you have a field of 100x100x3 points with known spacings. Each individual point can be moved by a known range in x, y and z. Your task it to maximize the volume enclosed by the points. Now easiest thing might be to use an optimization algorithm however, due to having so many data points it is fairly impossible due to computing power restrictions. So could I just optimize it for a lets say 5x5x2 field and then scale the results? Is there any academic background supporting this so I can justify the method? So far it seems to work but I'd prefer to have something backing it up.
Thank you very much!
RE: Optimize many variables
This depends entirely on whether your point cloud is a reasonably well defined shape or just random x y z. and whether dx dy dz is small in comparison.
So it is a good interesting question but the answer is ...it depends.
Cheers
Greg Locock
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RE: Optimize many variables
thank you for your reply. I have just read back what I have written and I have not expressed myself clearly enough I believe. The x y z points are not random. The spacing between the individual points remains constant on a x, y and z basis. E.g. the x spacing is 2mm for all, y spacing is 3.5mm for all and z spacing is 1mm for all. Then a movement range of +- 0.5mm is assigned to x, +-1 to y and -0.25 to z. This is just an example of course.
I hope this is a better explanation. I will have a look into sensitivity studies. I have to admit the last time I have used them was back at Uni while I was doing my mechanical engineering degree but let's see whether my education pays off.
Thank you!
RE: Optimize many variables
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RE: Optimize many variables
RE: Optimize many variables
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RE: Optimize many variables
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RE: Optimize many variables
That's a great solution. The only question I'm asking myself is how could I miss the obvious. I need to adapt it a bit because the z axis is iterative, i.e. the distance between the points is dependent on the previous point placement but a simple additional term should take care of this. Thank you so much!