network profile
| bio | website | |
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| location | ||
| age | ||
| visits | member for | 1 year, 9 months |
| seen | Oct 22 '12 at 19:36 | |
| stats | profile views | 10 |
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Aug 1 |
comment |
Convert a linear difference equation into a controllable state-space model Hi, I have some questions? * Does this system is a realization of the original input-output model (i.e., they realize the same transfer function)? * Is this system in controllable form? Thanks |
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Feb 19 |
awarded | Tumbleweed |
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Feb 12 |
asked | Convert a linear difference equation into a controllable state-space model |
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Sep 3 |
comment |
How to solve mixed integer nonlinear programs? @thomas: thank you for the hints! I will try to rearrange the problem in order to avoid the product of two decision variables. |
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Sep 2 |
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How to solve mixed integer nonlinear programs? @thomas: I did not assume my problem is easy to solve (sorry for this misunderstanding). I read MINLP is a hard topic. I would like to know the way to solve this problem. I also read of many solution techniques, but honestly I don't know what to choose. For what concerns my math knowledge, I am a PhD Student in Computer Science, so I (should) know intermediate math. Indeed, I know what convex functions are and how to solve a linear program with the simplex method. For what regards constrained optimization principles...I give up. Now, I'm trying to compute the Hessian but with some trouble. |
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Sep 1 |
asked | How to solve mixed integer nonlinear programs? |
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Aug 18 |
comment |
Range scaling with constraints @André: You're right, another good catch! Unfortunately I cannot say too much about $x_i$ and $n$ in advance.I've just noted that the solution given by Shai fails too :( At this point, I think the best can do is removing the constraint $x_i>a$. Thanks |
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Aug 18 |
awarded | Scholar |
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Aug 18 |
comment |
Range scaling with constraints Beautiful answer! It works like a charm.Thank you very much! |
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Aug 18 |
comment |
Range scaling with constraints @André: good catch. Indeed, this could be a problem. However, I think that a simple normalization should solve it. That is: $x_i \rightarrow \frac{x_i}{\sum_{i}x_i} \rightarrow \hat{x}_i$. Do you? |
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Aug 18 |
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Range scaling with constraints @JM: can you be more explicit, that is $\hat{x}_i=\ldots$? |
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Aug 18 |
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Range scaling with constraints It does not work since in this case $\hat{x}_1 \notin [0.2,0.8]$. |
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Aug 18 |
awarded | Student |
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Aug 18 |
asked | Range scaling with constraints |
