Mixed and iterative methods
Solving mixed sparse-dense linear least-squares problems by preconditioned iterative methods
... SOLVING MIXED SPARSE-DENSE LINEAR LEAST-SQUARES PROBLEMS BY PRECONDITIONED ITERATIVE METHODS ∗ JENNIFER SCOTT † AND MIROSLAV T˚ UMA ‡ ...direct methods for problems in which A has a few ...
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General iterative methods for systems of variational inequalities with the constraints of generalized mixed equilibria and fixed point problem of pseudocontractions
... generalized mixed equilibrium problems and a fixed point problem of a continuous pseudocontractive mapping in a Hilbert ...explicit iterative methods to a solution of the GSVI with the above ...
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On Two Iterative Methods for Mixed Monotone Variational Inequalities
... A mixed monotone variational inequality MMVI problem in a Hilbert space H is formulated to find a point u ∗ ∈ H such that Tu ∗ , v − u ∗ ϕv − ϕu ∗ ≥ 0 for all v ∈ H, where T is a monotone operator and ϕ is a ...
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Iterative methods for mixed equilibrium problems and strictly pseudocontractive mappings
... explicit iterative schemes for finding a common element of the set of solutions of the mixed equilibrium problem and the set of fixed points of a k-strictly pseudocontractive non-self mapping in Hilbert ...
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Implicit and explicit iterative methods for mixed equilibria with constraints of system of generalized equilibria and hierarchical fixed point problem
... generalized mixed equilibrium problems (GMEPs) with the constraints of a system of generalized equilibrium problems (SGEP) and the hierarchical fixed point problem (HFPP) for a strictly pseudocontractive mapping in ...
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Iterative methods for triple hierarchical variational inequalities with mixed equilibrium problems, variational inclusions, and variational inequalities constraints
... viscosity iterative algorithm for finding a solution of triple hierarchical variational inequalities defined over the common set of solutions of mixed equilibrium problems, variational inclusions, variational ...
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Ross scheme, Newton–Raphson iterative methods and time stepping strategies for solving the mixed form of Richards' equation
... numerical methods, solution of RE is still a challenging research topic, with many remaining questions about reduction of the computational time, treat- ment of nonlinearities, and improvement of the accuracy of ...
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Iterative Methods for Family of Strictly Pseudocontractive Mappings and System of Generalized Mixed Equilibrium Problems and Variational Inequality Problems
... new iterative scheme by hybrid method for finding a common element of the set of common fixed points of infinite family of k-strictly pseudocontractive mappings and the set of common solutions to a system of ...
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New approximation methods for solving elliptic boundary value problems via Picard-Mann iterative processes with mixed errors
... Picard-Mann iterative methods with mixed errors for common fixed points of two different nonexpansive and contraction ...Picard-Mann iterative approximation and propose numerical examples to ...
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Embedding and sustaining motivational interviewing in clinical environments: a concurrent iterative mixed methods study
... concurrent iterative mixed methodology was ...both methods were integrated at the analysis phase ( ‘ following a thread ’ ) to understand how MI is embedded and the fidelity sustained in the clinical ...
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Existence and Iterative Approximation Methods for Generalized Mixed Vector Equilibrium Problems with Relaxed Monotone Mappings
... generalized mixed vector equilibrium problem with a relaxed monotone mapping and prove the existence and uniqueness of the solution for the auxiliary ...new iterative scheme for approximating a common ...
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Mixed Precision Iterative Refinement Methods Energy Efficiency on Hybrid Hardware Platforms
... Outsource low precision computations on parallel low precision coprocessor Use different precision formats within the Iterative Refinement Method.. Krylov Subspace Solver.[r] ...
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Iterative refinement methods for eigenproblems
... tandard methods - tried and trusted In this section, we will review some of the common methods used to solve eigenvalue problems ...subspace methods are the Lanczos algorithm and Galerkin’s ...
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Iterative methods for ternary diffusions
... Abstract We apply iterative methods to three-component diffusion equations and study their convergence in L 2 and in the Sobolev space W 1,∞ . The system is parabolic and mass-conservative. Newton’s method ...
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II. THE GROUP ITERATIVE METHODS
... relaxation methods for the difference solution of the two dimensional second order hyperbolic telegraph ...The methods are derived from the standard centred and rotated five-point finite difference ...
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Numerical Methods. Iterative method:
... Golden Section Method • The golden section method uses the golden ratio: 0.618034 in each iteration to define intermediate points... Approximate Line Search.[r] ...
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Weights in block iterative methods
... factorization methods are inecient for such a large-scale problem we employ iterative ...successful iterative methods in the area of constructive solution of such problems see [5] and ...
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FPGA; Hardware Design, Iterative Methods,
... other iterative methods lies in its computation which can be, trivially, done in ...other iterative methods have proved to be more powerful and converge faster than the Jacobi ...simplest ...
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Iterative Methods for Stochastic Variational Inequalities
... extragradient methods for the solutions of the variational inequalities and compare their relative efficiency and effectiveness through thorough numerical ...
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Genetic programming for iterative numerical methods
... matrix G [7, 21]. To address such cases is a good challenge for GPLS because GP can search the whole space of potential methods and maybe come up with solutions for problems where the Gauss–Seidel method fails. ...
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