Saddle Point Problems
Some generalizations of the new SOR like method for solving symmetric saddle point problems
... Saddle-point problems arise in many areas of scientific computing and engineering ...these problems has become a hot topic in recent ...
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On Local Circulant and Residue Splitting Iterative Method for Toeplitz-structured Saddle Point Problems
... of saddle point problems, a local circulant and residue splitting (LCRS) iterative method is proposed to solve Toeplitz-structured saddle point problems, and the splitting matrix ...
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Performance Analysis of a Special GPIU Method for Singular Saddle Point Problems
... In this paper, we provided semi-convergence analysis of the SGPIU method with singular preconditioners for solv- ing singular saddle point problems. Numerical experiments show that the SGPIU method ...
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A multigrid method for saddle point problems arising from mortar finite element discretizations
... Abstract. A multigrid algorithm for saddle point problems arising from mortar finite element discretizations is analyzed. Here, we do not require that the constraints at the interface are satisfied ...
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An implicit approximate inverse preconditioner for saddle point problems
... for saddle point problems which is based on an approximation of an implicit representation of the inverse of the saddle point ...
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Saddle Point Problems, Bilevel Problems, and Mathematical Program with Equilibrium Constraint on Complete Metric Spaces
... loose saddle point problems, vector saddle point, and saddle point problems see, ...loose saddle point and vector saddle point ...
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A Note on Parameterized Preconditioned Method for Singular Saddle Point Problems
... Recently, some authors (Li, Yang and Wu, 2014) studied the parameterized preconditioned HSS (PPHSS) method for solving saddle point problems. In this short note, we further discuss the PPHSS method ...
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Applications of order-clustered fixed point theorems to generalized saddle point problems and preordered variational inequalities
... Fixed point theory has played important roles in traditional equilibrium theory, varia- tional inequalities and optimization theory (see ...Fixed point theorems have been applied in the proofs of the ...
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A algorithm based on the PSS splitting for saddle point problems
... engineering problems such as hydrodynamics(Stokes problems), Least squares problem, optimization problem, elliptic partial differential equation of mixed finite element discretization and image processing ...
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The antitriangular factorisation of saddle point matrices
... to saddle point ...specific saddle point problems arising in constrained indefinite least squares [16], gives a different but related anti- triangular ...
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Natural preconditioning and iterative methods for saddle point systems
... this saddle point theory in an application- independent ...for saddle point problems in which A is positive definite and we defer the discussion of saddle point systems in ...
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Sun_unc_0153D_18139.pdf
... minimization problems of the form ...convex-concave saddle-point problems, and monotone equations/inclusions involving generalized self-concordant functions, and our inexact oracle theory can ...
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A first-order adjoint and a second-order hybrid method for an energy output least-squares elastography inverse problem of identifying tumor location
... inverse problems in saddle point problems Let V and Q be real Hilbert spaces, let B be a real Banach space, and let A be a nonempty, closed, and convex subset of ...
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A new iterative method for equilibrium problems and fixed point problems for infinite family of nonself strictly pseudocontractive mappings
... inclusion problems, saddle point problems, variational inequality problems, minimization problems, the Nash equilibria in noncooperative games, vector equilibrium ...
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Nonlinear algorithms approach to split common solution problems
... optimization problems, variational inequalities prob- lems, saddle point problems, the Nash equilibrium problems, fixed point problems, com- plementary problems, ...
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On hybrid split problem and its nonlinear algorithms
... optimization problems, complementary prob- lems, variational inequalities problems, saddle point problems, fixed point problems, bilevel problems, semi-infinite ...
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Well-posedness for parametric strong vector quasi-equilibrium problems with applications
... quasi-equilibrium problems contain vector quasi-variational inequality problems, vector quasi-optimization problems, and vector quasi-saddle point problems as special cases, we ...
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A primal dual algorithm framework for convex saddle point optimization
... The idea is also similar to that of [, ], which uses the symmetric positive semi-definite matrix instead of the identity matrix in the proximal term. But their methods [, ] do not have overrelaxation or correction ...
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The alternate direction iterative methods for generalized saddle point systems
... generalized saddle- point systems based on two splitting forms of generalized saddle-point matrix, and then establish some convergence theorems for these two iterative ...
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Saddle Point Approximation to Cumulative Distribution Function for Damage Process
... Furthermore, Reid (1988) reported for applications to inference. As well as, Borowiak (1999) study, for discussion of a tail area approximation that has uniform relative error and Terrell (2003) for a stabilized ...
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