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Furthermore, because solid mechanics poses challenging mathematical and computational problems, it (as well as fluid mechanics) has long been an important topic for applied mathematicians concerned, for example, with partial differential equations and with numerical techniques for digital computer formulations of physical problems.
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The group-modelling consisted of four stages 1) problem identification and model purpose, 2) conceptualisation by using CLD, 3) computer model formulation and parameterisation, 4) experimentation and reflections.
This paper describes a system that permits the computer-aided formulation of comprehensive primary mechanisms and simplified secondary mechanisms, coupled with the relevant thermochemical and kinetic data in the case of the gas-phase oxidation of alkanes and ethers.
The approach differs from previous work within the field of CAMD since it also addresses the need for a computer aided problem formulation and result analysis.
The individual physics models and software are integrated into a new open computational framework for battery simulations which was designed to support a variety of modeling formulations and computer codes.
Heuristic algorithms, integer linear programming formulations, and computer experiments are presented.
Due to the complex nature of the development of pharmaceutical formulations, some computer based optimization techniques have been proposed in the literature.
Formulation-computer aided design (F-CAD), originally designed to calculate in silico the drug dissolution profiles of a tablet formulation is, for example, a suitable software for this purpose.
Contemporary trends in the pharmaceutical development emphasize the utility of advanced computer tools to facilitate formulation of new medicines.
However, the lack of a consistent mathematical formulation and computer based tools are factors that have prevented its more widespread use.
Due to the complication in the development of pharmaceutical formulations, some computer-based optimization techniques based on response surface methodology (RSM) representing the use of appropriate experimental designs and applying polynomial equation have been widely used [ 7, 8].
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