Preconditioned Descent Algorithms for p-Laplacian
نویسندگان
چکیده
In this paper, we examine some computational issues on finite element discretization of the p-Laplacian. We introduced a class of descent methods with multi-grid finite element preconditioners, and carried out convergence analysis. We showed that their convergence rate is mesh-independent. We studied the behavior of the algorithms with large p. Our numerical tests show that these algorithms are able to solve large scale p-Laplacian with very large p. The algorithms are then used to solve a variational inequality. Subject Classification: 49J20, 65N30.
منابع مشابه
Preconditioned Hybrid Conjugate Gradient Algorithm for P-laplacian
In this paper, a hybrid conjugate gradient algorithm with weighted preconditioner is proposed. The algorithm can efficiently solve the minimizing problem of general function deriving from finite element discretization of the p-Laplacian. The algorithm is efficient, and its convergence rate is meshindependent. Numerical experiments show that the hybrid conjugate gradient direction of the algorit...
متن کاملPreconditioned steepest descent methods for some nonlinear elliptic equations involving p-Laplacian terms
Article history: Received 6 July 2016 Received in revised form 2 December 2016 Accepted 23 December 2016 Available online 28 December 2016
متن کاملThe Block Preconditioned Steepest Descent Iteration for Elliptic Operator Eigenvalue Problems
The block preconditioned steepest descent iteration is an iterative eigensolver for subspace eigenvalue and eigenvector computations. An important area of application of the method is the approximate solution of mesh eigenproblems for self-adjoint and elliptic partial differential operators. The subspace iteration allows to compute some of the smallest eigenvalues together with the associated i...
متن کاملThe structure of the polynomials in preconditioned BiCG algorithms and the switching direction of preconditioned systems
We present a theorem that defines the direction of a preconditioned system for the biconjugate gradient (BiCG) method, and we extend it to preconditioned bi-Lanczos-type algorithms. We show that the direction of a preconditioned system is switched by construction and by the settings of the initial shadow residual vector. We analyze and compare the polynomial structures of four preconditioned Bi...
متن کاملNonsymmetric Preconditioning for Conjugate Gradient and Steepest Descent Methods1
We numerically analyze the possibility of turning off postsmoothing (relaxation) in geometric multigrid when used as a preconditioner in conjugate gradient linear and eigenvalue solvers for the 3D Laplacian. The geometric Semicoarsening Multigrid (SMG) method is provided by the hypre parallel software package. We solve linear systems using two variants (standard and flexible) of the preconditio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- J. Sci. Comput.
دوره 32 شماره
صفحات -
تاریخ انتشار 2007