[PDF] Top 20 On the preconditioned GAOR method for a linear complementarity problem with an M matrix
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On the preconditioned GAOR method for a linear complementarity problem with an M matrix
... contact problem, and the free boundary problem for journal bearings; see [5, 16] and the references ...a matrix whose all principal submatrices have positive determinants; see [4, 5, ...A ... See full document
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A Quadratically Convergent Interior-Point Algorithm for the P*(κ)-Matrix Horizontal Linear Complementarity Problem
... predictor-corrector method that was the first polynomial-time and superlinear convergent IPM for general LO, with precisely O ( ) nL iteration ...MTY method generalized to SLCP in [9] and the resulting ... See full document
8
Modulus Based Matrix Splitting Iteration Methods for a Class of Stochastic Linear Complementarity Problem
... modulus-based method. Bai [9] presented a class of modulus-based matrix splitting iteration ...tion method, which can be applied to solving the large-scale linear complemen- tarity ... See full document
10
Modeling and analyzing the dynamics of an electric-motor brush
... the linear complementarity problem (LCP) method solves this problem in an elegant way, and the number of generalized coordinates is constant at all ... See full document
12
A generalized Newton method of high order convergence for solving the large scale linear complementarity problem
... Newton method is very efficient for some nonsmooth (or smooth) equations, which arise from the complementarity problem, the nonlinear programming problem, the variational inequality ... See full document
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High Performance Iterative Solver for Linear System using Multi GPU
... subspace method is developed based on preconditioned Krylov subspace ...subspace method can be developed by replacing the preconditioning procedure ...which preconditioned Krylov subspace ... See full document
5
A Singular Values Based Newton Method for Linear Complementarity Problems
... the linear complementarity ...the linear complementarity problem when the singular values of A exceed 1 and Han [15] the interval matrix [ A A , + λ k I ] is ... See full document
6
An Interval Matrix Based Generalized Newton Method for Linear Complementarity Problems
... In this section, we will propose that a new generalized Newton method based on the nonlinear penalized equa- tion for solving the linear complementarity problem. Because when k > 1 , ... See full document
7
Multigrid Method for Linear Complementarity Problem and Its Implementation on GPU
... 32 matrix rows ...non-zero matrix element are not ordered by rows but by their appearance in the ...sparse matrix vector multiplication and Red-black PSOR updates, note that there is no need to ... See full document
5
Characterization of Relationships Between the Domains of Two Linear Matrix-Valued Functions with Applications
... Block matrix, rank of matrix, and matrix equation are basic concepts in linear algebra, while the block matrix method (BMM), the matrix rank method (MRM), and the ... See full document
16
LaGrange multiplier approach with optimized finite difference stencils for pricing American options under stochastic volatility
... resulting matrix is required to have the M-matrix ...penalty method described by Zvan, Forsyth, and Vetzal in ...penalty method leads always to small ... See full document
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A Mathematical Approach to Eliminate the Deficiency of Minerals in Soils using Fuzzy Linear Programming
... structural problem using fuzzy logic using computational ...Fuzzy Linear Programming Problem by converting membership function into a crisp number and further had been solved by simplex ... See full document
8
A new filter QP free method for the nonlinear inequality constrained optimization problem
... Fletcher and Leyffer [9] proposed a filter method for solving the NLP problem, which was an alternative to the traditional merit functions approach. Provided that there is a sufficient decrease in the objective ... See full document
14
Convergence results of a matrix splitting algorithm for solving weakly nonlinear complementarity problems
... In this paper, for satisfying the requirements of the application, more details can be found in [–], we present an accelerated modulus-based matrix splitting algorithm for dealing with WNCP. The organization ... See full document
9
Parametric preconditioned gauss – Seidel Iterative Method
... In this paper, the Parametric Preconditioned Gauss-Seidel Iterative Method is developed by using the Preconditioned Gauss-Seidel Iterative Method and the spectral radius of these two met[r] ... See full document
6
Formulation of a Preconditioned Algorithm for the Conjugate Gradient Squared Method in Accordance with Its Logical Structure
... Abstract In this paper, we propose an improved preconditioned algorithm for the conjugate gradient squared method improved PCGS for the solution of linear equations.. Further, the logica[r] ... See full document
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Preconditioned Parallel Multisplitting USAOR Methods for Hmatrices Linear Systems
... the matrix multi- splitting method in 1985 for parallely solving the large sparse linear systems on the multiprocessor systems and it was further studied by many authors [ 9-19 ] ...(SOR) ... See full document
8
On complexity of a new Mehrotra type interior point algorithm for \(P {*}(\kappa )\) linear complementarity problems
... Table 2 gives the iteration numbers of the four algorithms for Problem 2 with n ∈ {10, 20, 30, 40, 50, 100, 150, 200}. The numerical results illustrate that Algorithm 1 has the least iteration numbers. Since the ... See full document
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AN OVERVIEW OF COMPENSATION SCHEMES OF TIME DELAY IN NETWORK CONTROLLED SYSTEMSSaurav Bajpai1 and Chirag Gupta2
... In the case of NCS in automotive industry, 1) for ECUs, there should be a well-defined software integration process that satisfies all key requirements of automotive manufacturers; 2) the choice of the degree of ... See full document
11
A mixed integer linear programming formulation for the vehicle routing problem with backhauls Pages 295-308 Download PDF
... packing problem instances associated with the corresponding customer subset, which calls for the determination of the minimum number of bins, each with capacity Q, needed to serve all customers (Toth & Vigo, ... See full document
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