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The utility of using systematic paths for search is also apparent in mathematical models aimed at optimizing real-world search.
The expanding variety of observable real-world complex networks (CN) required development of mathematical models aimed to explain the nature of such constructions and to model their structure with certain precision.
One of the mathematical models aimed to minimize the total amount of drug used such that the tumor cell population at the end of the treatment period reaches a specified value [ 11].
In this review, we have presented the historical development of tumor growth models and have elaborated on recent published nonlinear mixed-effects mathematical models aimed at analyzing tumor size dynamics.
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The mathematical models aim to better predict the main field changes for the next 1 2 years simply assuming that its rate of change will be statistically identical to the one observed in recent epochs.
The comprehensive understanding of the molecular mechanism of apoptotic signaling allows for development of mathematical models, aiming to elucidate dynamical and systems properties of apoptotic signaling networks.
The simplest mathematical models aim at describing a well-characterized situation by sets of ordinary differential equations or probabilistic branching processes (Iwasa et al. 2006; Foo and Michor 2009; Tomasetti and Levy 2010) and yield answers to important problems such as the prediction of drug resistance.
In this paper we develop a mathematical model aimed at the design of a model-based feedback control strategy.
This paper proposes a mathematical model aimed at deriving a histogram of the stress cycles, the accumulated damage and the fatigue life of slender vertical structures (e.g. towers, chimneys, poles and masts) in alongwind vibrations.
Our mathematical model aimed to shed some light on this conflict.
Previously, we developed a mathematical model aimed at explaining the quantitative basis of the epigenetic silencing of FLC during vernalization [ 2].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com