variatsioonilõikemeetodeid

Variatsioonilõikemeetodeid is a term referring to a class of numerical methods used to approximate solutions to differential equations. These methods are characterized by the fact that they are derived from a variational principle or a weak formulation of the original problem. Instead of directly solving the differential equation in its strong form, these methods seek a function that minimizes a certain functional or satisfies an integral form of the equation.

The core idea behind variationallõikemeetodeid is to transform a differential equation into an equivalent integral equation. This is typically done by multiplying the differential equation by a test function and integrating over the domain, often using integration by parts to reduce the order of derivatives. The resulting equation, known as the weak form, requires the solution to satisfy the equation in an averaged sense rather than at every point.

Once the weak form is established, the solution space is discretized. This means the infinite-dimensional space of possible solutions is replaced by a finite-dimensional subspace, often constructed using basis functions defined over a mesh of the domain. The unknown solution is then approximated as a linear combination of these basis functions, with unknown coefficients.

Substituting this approximation into the weak form leads to a system of algebraic equations for the unknown coefficients. The specific form of these equations depends on the chosen basis functions and the nature of the variational principle. Solving this system yields the approximate solution to the original differential equation.

Common examples of variationallõikemeetodeid include the finite element method (FEM), the finite difference method (FDM) when formulated variationally, and the spectral element method. These methods are widely used in various fields, including structural mechanics, fluid dynamics, heat transfer, and electromagnetics, due to their ability to handle complex geometries and boundary conditions.