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Code generation can then be used to automatically transform the design into an implementation, allowing design refactoring at the dataflow level and reduced design time over hand implementation.
It should allow the engineer to clearly relate the result to the expected implementation, allowing him full control over the application.
Wide bandwidth also results in simpler design and implementation, allowing circumvention of dispersion and scattering arising in the interstellar medium and motion effects and obviating any related processing.
As unique feature supply chain and process simulation is combined in a single software implementation allowing for statistical analysis to automatically evaluate the economic performance of production concepts under different boundary conditions of the process and the supply chain.
Ram Rajagopal et al. [12] propose a rapid prototyping tool, which leads itself to a very smooth transition from design to implementation, allowing for powerful cosimulation strategies.
One of the main advantages of this approach is that the environment leads itself to a very smooth transition from design to implementation, allowing for powerful cosimulation strategies (e.g., hardware in the loop, runtime modeling).
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The parallel implementation allowed us to study the performance of the whole program on a large number of images.
This implementation allows simulating the time-dependent behaviour of rubber components under arbitrary transient loading histories.
Our parallel implementation allows communications and computations to be overlapped and requires minimal global synchronization.
Moreover, the proposed model implementation allows for a thorough analysis under different environmental conditions.
A prototype implementation allows us to compare performances of different optimizations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com