For well-studied systems where the interactions are known, intrinsic noise can be computed using simulation methods such as the Stochastic Simulation Algorithm (SSA) of Gillespie [ 5], and other exact and approximate stochastic simulation methods [ 6- 13].
The function in (18) can be computed using a software package, such as Mathematica, Maple or Matlab.
Although x can be computed using 1D sparse recovery algorithms such as IAA [35] and SLIM [22], due to the large dimension of ( boldsymbol{Phi} in {mathrm{mathbb{C}}}^{left[{N}_P{M}_rleft {N}_s+{N}_R-1right)right]times left[{N}_R{N}_A{N}_Dright]}, ) 1D solutions are computationally extremely expensive.
As a consequence, various statistics can be computed using the 3D choroidal vessel information, such as ratios of inner (smaller) to outer (larger) choroidal vessels or the absolute/relative volume of choroid vessels.
The distance between two genes can then be computed using a metric on the vector space, such as the cosine of the angle between them [ 49].
In a classical, probabilistic approach, after similarities between identifiers (such as surnames, forenames, and so on) have been computed using functions such as the Levenhstein distance[ 5] and Jaro-Winkler functions [ 4], Bayesian classification is used to discern likely matches[ 6].
Using these SNPs, identity-by-state (IBS) allele sharing distance (DST values) was computed using PLINK (49), as such: DST = IBS distance (IBS2 + 0.5 × IBS1)/(n SNP pairs).
In some of the routing approaches [8,11,12], delivery probability of node is computed using multiple attributes of node such as buffer space, battery level, colocation of nodes etc.
is computed using the MUSCL interpolant (5), such that u ( x ) = ∑ j L j ( x ) χ j ( x ) Open image in new window, where χ j (x) is the characteristic function of I j.
The internal consistency and adequacy of such items were computed using Cronbach's alpha [ 15] and Kaiser-Meyer-Olkin (KMO) test [ 16].
