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...
AbstractA simple method is proposed to find the orthogonal projection of a given point to the soluti...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
AbstractAn iterative method is proposed for solving convex feasibility problems. Each iteration is a...
AbstractWe consider linear feasibility problems in the “standard” form Ax = b, 1 ⩽ x ⩽ u. The succes...
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...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
AbstractAn iterative method is proposed for solving convex feasibility problems. Each iteration is a...
AbstractWe consider linear feasibility problems in the “standard” form Ax = b, 1 ⩽ x ⩽ u. The succes...
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...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
AbstractAn iterative method is proposed for solving convex feasibility problems. Each iteration is a...