What is algebraic multigrid?
Definition. Algebraic multigrid (AMG) methods are used to approximate solutions to (sparse) linear systems of equations using the multilevel strategy of relaxation and coarse-grid correction that are used in geometric multigrid (GMG) methods.
Why is multigrid method better?
Multigrid preconditioning is used in practice even for linear systems, typically with one cycle per iteration, e.g., in Hypre. Its main advantage versus a purely multigrid solver is particularly clear for nonlinear problems, e.g., eigenvalue problems.
Which of these errors need a multi grid approach?
Which of these errors need a multi-grid approach? Explanation: High frequency oscillatory errors are easily eliminated using iterative methods like Jacobi and Gauss-Seidel.
Which of these methods is not a method of discretization?
Which of these methods is not a method of discretization? Explanation: Gauss-Seidel method is a method of solving the discretized equations.
Which of these properties is not ensured in finite difference methods?
3. Which of these properties is not ensured in Finite Difference Methods? Explanation: Though the Finite Difference method is the easiest, it is suitable only for simple problems involving structured grids. Explanation: The conservation equation of the partial differential form is used by the Finite Difference Method.
Which technique is appropriate for data discretization *?
Cluster analysis is a popular data discretization method. A clustering algorithm can be applied to discrete a numerical attribute of A by partitioning the values of A into clusters or groups.
What is FEM Bem FVM and FDM?
FVM and FDM provide discrete solutions, while FEM provides a continuous (up to a point) solution. FVM and FDM are generally considered easier to program than FEM, but opinions vary on this point. FVM are generally expected to provide better conservation properties, but opinions vary on this point also.
What is a natural boundary condition?
Essential boundary conditions are the ones that are imposed EXPLICITLY on the solution whereas natural boundary conditions are the ones that are consequently satisfied after a solution of the problem has been achieved.
What is discretization meshing of body?
Meshing is a process of discretization of continuous body into finite number of elements. The accuracy of the results obtained from an analysis are dependent on the number of elements. A balanced approach has to be taken wherein optimum number of elements are used to achieve results with good accuracy.
Which method is more appropriate for data transformation?
Data normalisation is a method to convert the source data into another format for effective processing. The primary purpose of data normalisation is to minimise or even exclude duplicated data. It offers several advantages, such as making data mining algorithms more effective, faster data extraction, etc.
