Definition in file array.h.
Go to the source code of this file.
a
have same dimensions 0
to range-1
, of the ith
variable ind
ind
a
to a uniformly distributed variable in [0,1]. a
to a uniformly distributed variable in [0,1]. a
to a Gaussian random variable. dim
Gaussian noise elements
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the cofactor is the determinant of a 2D squared matrix after removing the ith row and the jth column |
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the determinant of a 2D squared matrix |
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Pseudo Inverse based on SVD; computes $B$ such that $ABA = A$ Referenced by inverse(). |
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as above, but returns only the index of one sample |
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stochastic universal sampling: given a probability vector p (that is positive in each component and sums to one), the returned array s is resized to length n and contains the states of n samples. |
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Singular Value Decomposition (from Numerical Recipes); computes $U, D, V$ with $A = U D V^T$ from $A$ such that $U$ and $V$ are orthogonal and $D$ diagonal (the returned array d is 1-dimensional) -- uses LAPACK is MT_LAPACK is defined Definition at line 1509 of file array.h. References MT::useLapack. Referenced by svd(). |