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The estimators of maximum verisimilitude for sensibility and specificity of each test could be obtained with an integral that uses an iteration algorithm such as the EM or the Newton-Rapson method [ 46, 47].
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The maximum likelihood estimators of prevalence (the "cluster" of sepsis patients), as well as of sensitivity and specificity of each test if requested, are obtained with an integral that uses an EM iteration algorithm.
On the other hand, an iteration algorithm using a finite element model is developed to find the convergent tension for the suspender with a fixed constraint at the arch end.
The system (C.7) is discretized employing a second-order finite-difference scheme with uniform spatial step and is efficiently solved using an inverse iteration algorithm.
We use a value iteration algorithm in this article to determine a stationary optimal policy and the corresponding expected total reward.
Instead of solving it directly, here, we study an equivalent problem for (7) and reveal that the nonlinear optimization problem can be solved by using a standard iteration algorithm.
An iteration algorithm by using different regularization parameters is adopted to solve the ill-conditioned matrix in the normal equation.
PET scans were reconstructed with the LabPET software using an OSEM3D (20 iterations) algorithm and images were calibrated in Bq/mL by scanning a phantom cylinder.
Secondly, the static output-feedback control gain is directly derived by using a non-iteration algorithm.
The spectrum of the original input signal (a bandlimited gaussian random signal), the SDM output and the reconstructed signal (using the iterative algorithm after five iterations) are depicted in Figure4.
Solving Markov Decision Processes is a recurrent task in engineering which can be performed efficiently in practice using the Policy Iteration algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com