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c Form interface for "Calculation core" subsidence prediction based on stochastic method.
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In this paper, a new approach is proposed based on stochastic simulation methods.
We divide the streaming social network data into old and updated training tasks respectively, and factorize the training objective function based on stochastic gradient methods to update vectors.
The proposed software makes use of historical data to compute passing/failing probabilities and simulates future student academic performance based on stochastic programming methods (Monte Carlo) according to the specific university regulations.
The second uses wrapper algorithms (see Section 2.7) based on stochastic search methods such as GP for identifying optimal combinations of SNPs that are associated with disease end points.
An optimal inspection time model for structural fatigue life based on stochastic finite element method (SFEM) and first order reliability method (FORM) was presented.
The algorithm is developed based on stochastic finite-element method.
To reduce the scatter of fatigue life, a robust optimization model of structural fatigue life is presented based on stochastic finite element method (SFEM).
To estimate the travel costs for all the touch candidates, our method utilizes a computationally-efficient graph-based path planning method based on stochastic optimal control theory.
Different approaches have been recently developed in the literature for this purpose, often based on Stochastic Subspace Identification (SSI) methods.
In addition, the algorithm is not based on stochastic (e.g., Monte Carlo) methods but is fully deterministic, which eases the verification of the outcome significantly.
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