AbstractWe 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
AbstractThe solution of linear systems of equations using a 4-dimensional x-projection method is pre...
Simultaneous subgradient projection algorithms for the convex fea-sibility problem use subgradient c...
AbstractAn iterative method to solve the convex feasibility problem for a finite family of convex se...
AbstractWe consider linear feasibility problems in the “standard” form Ax = b, 1 ⩽ x ⩽ u. The succes...
We consider linear feasibility problems in the "standard" form Ax = b, 1 ≤ x ≤ u. The successive ort...
The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
The problem of finding a vector with the fewest nonzero elements that satisfies an underdetermined s...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
Abstract. The problem of finding a vector with the fewest nonzero elements that satisfies an underde...
Two ideas of modifying projection methods for the case of smooth nonlinear optimization are presente...
AbstractIn this paper we introduce an acceleration procedure for a block version of the generalizati...
In this paper we analyze a generalization of the method of Successive Orthogonal Projections (S.O.P....
The paper proposes an inertial accelerated algorithm for solving split feasibility problem with mult...
The problem of finding a vector with the fewest nonzero elements that satisfies an un-derdetermined ...
AbstractThe solution of linear systems of equations using a 4-dimensional x-projection method is pre...
Simultaneous subgradient projection algorithms for the convex fea-sibility problem use subgradient c...
AbstractAn iterative method to solve the convex feasibility problem for a finite family of convex se...
AbstractWe consider linear feasibility problems in the “standard” form Ax = b, 1 ⩽ x ⩽ u. The succes...
We consider linear feasibility problems in the "standard" form Ax = b, 1 ≤ x ≤ u. The successive ort...
The Projected Aggregation Methods (PAM) for solving linear systems of equalities and/or inequalities...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
The problem of finding a vector with the fewest nonzero elements that satisfies an underdetermined s...
AbstractThe solution of linear systems of equations using a 2-dimensional x-projection method is pre...
Abstract. The problem of finding a vector with the fewest nonzero elements that satisfies an underde...
Two ideas of modifying projection methods for the case of smooth nonlinear optimization are presente...
AbstractIn this paper we introduce an acceleration procedure for a block version of the generalizati...
In this paper we analyze a generalization of the method of Successive Orthogonal Projections (S.O.P....
The paper proposes an inertial accelerated algorithm for solving split feasibility problem with mult...
The problem of finding a vector with the fewest nonzero elements that satisfies an un-derdetermined ...
AbstractThe solution of linear systems of equations using a 4-dimensional x-projection method is pre...
Simultaneous subgradient projection algorithms for the convex fea-sibility problem use subgradient c...
AbstractAn iterative method to solve the convex feasibility problem for a finite family of convex se...