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In probability density function (PDF) methods of turbulent flows, the joint PDF of several flow variables is computed by numerically integrating a system of stochastic differential equations for Lagrangian particles.
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Ca2+ entry, diffusion and buffering were simulated by numerically integrating differential equations using an explicit finite-difference (Euler) method with a fixed time step (0.03 μs) and an elementary integration volume (i.e. voxels).
We can find the stable fixed point by numerically integrating (2) forwards for a long time.
Simulation results were obtained by numerically integrating the model equations with a stiff ODE solver method (ode15s).
Spontaneous crack propagation was simulated using a spectral form of the elastodynamic boundary integral equation, while steady-state solutions were obtained by numerically integrating the governing Cauchy singular integral equation.
Large eddy simulations (LES) of low-speed, wall-bounded turbulent flows were conducted by numerically integrating the compressible Navier Stokes equations in a generalized curvilinear coordinate system.
One can study the characteristics of such a system by numerically integrating these differential equations and with different initial conditions and kinetic rate parameters, and extensively search for the possibility of a two distinct stable steady states.
(B ) Discrete-time log-prior odds at a given moment as a function of the belief at the prior moment, plotted as Equation 2 for different values of H. (C ) Continuous-time version of the model, with log-prior odds plotted as a function of belief, computed by numerically integrating Equation 4 with d x (t ) = 0 over a 16 ms interval.
Molecular dynamics (MD) methods compute the trajectory of a system of point particles in response to a potential function by numerically integrating Newtonʼs equations of motion.
The overall change in the quasi-potential along a trajectory can then be calculated by numerically integrating the quantity Δ V q in Eq. 4 from a given initial configuration up to a stable steady state, thereby allowing us to map out a temporal trajectory along the putative quasi-potential surface.
The SeSAW score is reported, along with a P-value computed by numerically integrating the known distribution of scores.
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