Sentence examples for simulation which requires from inspiring English sources

The typical approach is by performing the Monte Carlo (MC) simulation, which requires thousands of runs and could be computationally intractable.

With appropriate data mapping engines, an existing BPM may be readily used for performance-based simulation which requires significantly less effort compared with the traditional means.

A hybrid approach is proposed for solving pressure fluctuations of wind flows around tall buildings based on the Reynolds Averaged Navier Stokes (RANS) simulation, which requires coarse meshes, and the mesh-free Kinematic Simulation (KS).

Riflex combined with DeepC was the primary analysis tool used for the long-term response of the nonlinear SCR structure simulations, which requires a large amount of computer time.

Moreover, for engineering design simulations which require a lot of calculation time, using three layers provides a good compromise for accuracy.

Though many practical simulations are of short duration and will never observe a linearly growing gradient solution, it can be problematic for simulations which require long time periods to be integrated.

Start-up costs are low, making the method ideal for use in process-split reacting-flow simulations which require the solution of an initial-value problem in every computational cell for every global time step.

Disk space, input/output (I/O) speed, and data-transfer bandwidth present a major bottleneck in large-scale molecular dynamics simulations, which require storing positions and velocities of multimillion atoms.

In PUFF, the simulations are performed in pulses outside the MD simulations, which require PYTHON scripts to make calculations between each MD run of the pulses.

Its use in the design and development of CAD-based process engineering applications is illustrated by example of a CAD interface to a machining process simulation program, which requires the workpiece CAD information, namely the surface geometry, to be machined to determine chip loads and hence cutting forces.

The remaining 26 model parameters were calibrated using Markov Chain Monte Carlo simulation [ 44- 47], which requires the definition of prior distributions for each parameter being calibrated.