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Other mathematical simulation approaches calculate the probability of groundings or collisions on narrow waterways using geographical data and increasing numbers of vessels in a simulation (e.g. [22]).
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To explore and understand the complexity of a biological system and to overcome the inherent limitations of biological experiments, mathematical modeling and computer simulation approaches are widely used in system biology [39].
Then a novel, comprehensive, coherent, and end-to-end mathematical modeling and simulation approach has been developed for the latest Medium Voltage Direct Current (MVDC) Shipboard Power System (SPS) with the objective to effectively and efficiently capture the system behavior for ship-wide system-level studies.
Results of mathematical simulation had confirmed the effectiveness of approach developed.
Also this study presents an experimental approach to validate the mathematical simulation results.
In this article, we approach this question quantitatively using mathematical simulation in which the true optimum is known and examine practical implications using some real measurements.
In addition to data-driven approaches (genomics, proteomics, etc), these genes can also be identified by mathematical simulation and prediction, another aspect of systems biology.
This work deals with the mathematical simulation of the solid-layer growth from solid-layer melt crystallization by applying the integral formulation approach.
The mathematical simulation fits theory to experimental facts.
We feel that rather being just a mathematical simulation, we need to be an emotional simulation of what's happening.
We present mathematical simulation workbench DBSolve Optimum which is significantly improved and extended successor of well known simulation software DBSolve5.
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