Sentence examples for transform a differential from inspiring English sources

Many boundary value problems can be solved by means of integral transformations, such as the Laplace transform function, which transform a differential equation into an algebraic equation in which the boundary conditions are automatically considered.

It is argued by Boyd [17] that while using a Galerkin's method to transform a partial differential equation into a matrix problem, one eventually encounters the matrix with only a few nonzero elements in each row.

The validity of the method depends on one's ability to transform a given differential equation to its simplest possible form, so a program must be executed that involves transformations of both variables before the criterion can be applied.

Four important simulation techniques are employed to simulate this system: (1) Kronecker product of matrices is introduced to transform a matrix-differential-equation (MDE) to a vector differential equation (VDE) [i.e., finally, there is a standard ordinary-differential-equation (ODE) formulation].

A transfer function is the Laplace transform of a differential equation with zero initial conditions, used for time domain analysis.

We propose an integration-based method that transforms an ordinary differential equation to an algebraic system of equations for which we solve for the unknown parameters in our equation.

However, a disadvantage of the above methods is that the reduced models are systems of mathematically transformed differential or differential algebraic equations (DAE) which may not relate one-to-one to biochemical species and reactions hampering the biochemical interpretation.

The SLLM approach is based on transforming a nonlinear ordinary differential equation into an iterative scheme.

Using the differential transform method, the differential equation is solved in a way that atmospheric electrical conductivity is variable.

To achieve this, we transform (1.1) to a differential equation all of whose coefficients belong to L1[a, b].

By dividing each input profile by the virtual control, we transform it into a differential profile (not shown in Figure 1), in order to increase the sensitivity of our method to deviations of expression values from the norm.