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It is possible to find a solution for any specific problem by appropriate mathematical or numerical techniques.
The surface waves may be treated either (correctly) as unstable waves or (artificially) as stable waves, enabling comparison with previous numerical or mathematical studies which make either of these assumptions.
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The mathematical-numerical model of the hybrid system is developed from the classical tuned liquid column damper composed of one or more "U" tubes filled with fluid.
This method provides a holistic view of groundwater quality status and appropriateness for drinking purposes by considering various water quality parameters based on simple mathematical-numerical tools.
Even if the exact solution of a problem can be found explicitly, it may be useless for mathematical and physical interpretation or numerical evaluation.
The operating parameters can be determined by means both of a thermodynamic and of a thermoeconomic analysis, minimising a suitable objective function by analytical or numerical mathematical methods.
The search for mathematical numerical models to be applied in the design or optimization of civil structures may require adjustment and validation based on experimental data.
However, any inadequacies in the underlying mathematical model or numerical approximations may become more pronounced with increasing numbers of replicates, preventing the ltLR from approaching the IMP.
Other features are mathematical descriptors, or numerical 'fingerprints', of texture and intensity patterns; the use of these is well-established in cellular image analysis (Boland and Murphy, 2001), and while they are not directly interpreted as a specific process or function, they sensitively pick up complex changes in the cellular network caused by the genetic perturbations.
Broadly speaking, maths degrees should give you the basic ideas of pure mathematics (linear algebra, geometry etc), applied mathematics (calculus, mathematical methods, modelling and numerical analysis), and statistics (including probability and operational research).
However, the absence of vascularization and the near sphericity hide an internal complexity which is not easy to tame either with analytic mathematical models [9] [12], or with numerical models based on rough simplifications of the biological settings such as cellular automata or other lattice-based models [13] [16].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com