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Titlebook: Numerical Methods; Proceedings of the I Victor Pereyra,Alfonso Reinoza Conference proceedings 1983 Springer-Verlag Berlin Heidelberg 1983 N

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樓主: HEIR
41#
發(fā)表于 2025-3-28 16:50:20 | 只看該作者
A bipartite quotient graph model for unsymmetric matrices, advantageous way. An implementation of the bipartite quotient graph model as well as the advantages of applying quotient graphs over elimination graphs are considered. This extends to the unsymmetric case the theory of George and Liu (5).
42#
發(fā)表于 2025-3-28 20:00:21 | 只看該作者
Local structure of feasible sets in nonlinear programming, part I: Regularity,th constrained variables) is particularly useful. We also give fairly short proofs of the first-order and second-order necessary optimality conditions in very general forms, using the arc constructions mentioned above.
43#
發(fā)表于 2025-3-28 23:27:11 | 只看該作者
44#
發(fā)表于 2025-3-29 03:35:10 | 只看該作者
45#
發(fā)表于 2025-3-29 07:56:55 | 只看該作者
Approximate solution of the navier-stokes equations for incompressible viscous fluids, related domabtained from that decomposition are quite efficient and have good parallelization properties. In our opinion their true domains of application are indeed:.Further numerical experiments will give a deeper insight about the feasibility of these methods for solving large and complicated applied problem
46#
發(fā)表于 2025-3-29 14:31:30 | 只看該作者
A multifrontal approach for solving sparse linear equations, and thus, in the symbolic phases, much work and storage can be saved by only storing index lists rather than the full submatrices..In this paper, we indicate how such a scheme can be efficiently implemented and show how it need not be restricted to systems which are symmetric and positive definite.
47#
發(fā)表于 2025-3-29 17:04:08 | 只看該作者
48#
發(fā)表于 2025-3-29 23:33:49 | 只看該作者
49#
發(fā)表于 2025-3-30 01:49:27 | 只看該作者
50#
發(fā)表于 2025-3-30 06:09:11 | 只看該作者
A dual solution procedure for quadratic stochastic programs with simple recourse,adratic recourse costs — that is essentially a deterministic quadratic program except for some simple stochastic upper bounds. We then describe a solution procedure for problems of this type based on a finite element representation of the dual variables.
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