We consider linear feasibility problems in the "standard" form Ax = b, 1 ≤ x ≤ u. The successive orthogonal projections method may be used for solving this problem using sparse orthogonal factorizations techniques for computing the projections on Ax = b. We introduce an acceleration technique in order to speed up the (generally slow) convergence of the method. We present some numerical experiments. © 1988.155367373Gill, Murray, Wright, (1981) Practical Optimization, , Academic Press, New YorkLuenberger, (1984) Linear and Nonlinear Programming, , Addison-Wesley, Reading, MABartels, Golub, The simplex method of linear programming using LU decomposition (1969) Communications of the ACM, 12, pp. 266-268Dantzig, (1963) Linear Programming and Ext...
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We propose a simple O([n5/logn]L)O([n5/logn]L) algorithm for linear programming feasibility, that ca...
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AbstractAn iterative method is proposed for solving convex feasibility problems. Each iteration is a...
International audienceOne way to solve very large linear programs in standard form is to apply a ran...
A well-known approach to the solution of large and sparse linearly constrained quadratic programming...
AbstractWe consider linear feasibility problems in the “standard” form Ax = b, 1 ⩽ x ⩽ u. The succes...
The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities...
Two ideas of modifying projection methods for the case of smooth nonlinear optimization are presente...
In this paper we present a reduced-gradient type algorithm for solving large-scale linearly constrai...
In this paper, we consider a modification of the parallel projection method for solving overdetermin...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
AbstractAn iterative method to solve the convex feasibility problem for a finite family of convex se...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
The Projected Aggregation Methods (PAM) for solving linear systems of equali- ties and/or inequaliti...
Abstract. The problem of finding a vector with the fewest nonzero elements that satisfies an underde...
We propose a simple O([n5/logn]L)O([n5/logn]L) algorithm for linear programming feasibility, that ca...
AbstractA simple method is proposed to find the orthogonal projection of a given point to the soluti...
AbstractAn iterative method is proposed for solving convex feasibility problems. Each iteration is a...
International audienceOne way to solve very large linear programs in standard form is to apply a ran...
A well-known approach to the solution of large and sparse linearly constrained quadratic programming...