The phrase "approximation to solve this" is correct and usable in written English.
It can be used when discussing methods or strategies that involve estimating or simplifying a problem to find a solution.
Example: "In order to find a solution quickly, we can use an approximation to solve this complex equation."
Alternatives: "estimate to address this" or "approximate method to resolve this".
In this study, we present a robust approximation to solve the system of linear equations (2), by considering the probability that the total system in state n → is written as a product of steady state probability of each WSP.
The code uses the finite element spherical harmonics (FE PN) approximation to solve the second-order even-parity form of the transport equation.
Examples of forward models include analytical models using the diffusion approximation to solve the radiative transport equation [ 8– 14], numerical models based on Monte Carlo (MC) simulations [ 15– 20] and empirical models [ 5, 21].
We design a novel provably stable discontinuous Galerkin spectral element (DGSEM) approximation to solve systems of conservation laws on moving domains.
For the aforementioned scenario, we propose a relay selection based approach as an approximation to solve for the power allocation problem.
When L is large (roughly L ≥ 16), we can also use the EPPR approximation or the ZPiOR approximation to solve them, as discussed in the section on high Pavapproximations.
The backstepping method is used for controller design, and the transformation kernel matrix is derived by using the method of successive approximations to solve the corresponding PDE.
While this time-domain approach is not very efficient in terms of computational complexity, it does not use approximations to solve the inverse reconstruction problem; simultaneously, it facilitates the use of arbitrary path deviations.
The problem is proved to be NP-hard, and we design an approximation algorithm to solve this problem with several provable properties.
More exactly, the relation between the normal components of electric (E) and magnetic (H) fields obeys the following power law (linearized for small and large values) ν×E="ν×(|H×ν|α−1H×ν) for some α∈ 0,1]. We design a linear fully discrete approximation scheme to solve this nonlinear problem.
