I would like to minimize w\'Hw, with respect to w, where w is a vector, and H is matrix. And with the following constraint, |w1|+|w开发者_StackOverflow中文版2|+|w3| < 3, ie. the l1 norm of the we
(See example below to fully understand what I\'m asking) I have an array of items that I will put other items into and remove items out of depending on user choices. This array always has an \"active
I\'m working with a matlab code package that was handed down to me. It was written in R2007b version, and I saw it perform. My lab just acquired R2011a and although the package runs without errors, it
The items a-d are to be paired with items 0-3 in such a way that the total distance between all item pairs are minimized. For example, this matrix could describe the distance between each item in the
The following code is a naive way to find the least number whose square has n divisors (the minimum should be its log and the x_i the powers in its prime factorization). If I look at the case n=2000 a
EDIT: Im sorry guys my explantion of the problem wasn\'t clear! This should be better: User sends ID numbers of articles and the max. number of bundles(packages)
I am using a port of minpack\'s hybrd1 in Eigen which uses Powell\'s method to find solution of f(x)=0; the jacobian is computed numerically, in this case.
The fast inverse square function used by SGI/3dfx and most notably in Quake is often cited as being faster than the assembly instruction equivalent, however the posts claiming that seem quite dated. I
I have a question regarding Mathematica\'s global optimization capability. I came across this text related to the NAG toolbox (kind of white paper).
I\'m trying to train a single layer of an autoencoder using minFunc, and while the cost function appears to decrease, when enabled, the DerivativeCheck fails. The code I\'m using isas close to textboo
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