Exact(1)
For LFM-signal, the first- and second-order differential in time domain is expressed as follows, respectively, (21).
Similar(59)
Both of the papers are based on continuous differential equations in time and space.
This reduces the problem to a system of ordinary differential equations in time.
The Timoshenko beam model results in two fourth order partial differential equations in time and space.
A computational tool for coarse-graining nonlinear systems of ordinary differential equations in time is discussed.
The last equation is a differential equation in time domain, which is solved by forward finite differences technique.
The tracking is carried out by forming a set of ordinary differential equations in time for each particle, consisting of equations for position and velocity.
Laplace transformation conveniently reduces differential equations in time to algebraic equations in frequency, and time-domain convolution is reduced to simple multiplication.
The final set of ordinary differential equations in time can be integrated by using a total variation diminishing (TVD) Runge-Kutta scheme [20].
The linearized diffusion equation is semi-discretized using method of lines (MOL) which leads to a system of ordinary differential equations in time.
This expansion is used to derive a series of first order differential equations in time for the moments of the response.
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