Linear adaptive information for approximating a zero of f is studied where f belongs to the class of polynomials of unbounded degree. A theorem on constrained approximation of smooth functions by polynomials is established
AbstractThis is a follow-up paper of “Liberating the dimension for function approximation”, where we...
AbstractThis is the third paper in which we study iterations using linear information for the soluti...
Suppose we have a number of noisy measurements of an unknown real-valued function $f$ near point of ...
For a given nonnegative e we seek a point x* such that if(x*)[ l) satisfying a Lipschitz condition w...
Nonlinear approximation has usually been studied under deterministic assumption and complete informa...
Nonlinear approximation has usually been studied under deterministic assumption and complete informa...
For which error criteria can we solve a nonlinear scalar equation f(x) = 0 where f is a real functio...
In this paper we study the following problem. Given an operator S and a subset FO of some linear spa...
AbstractFor which error criteria can we solve a nonlinear scalar equation f (x) = 0, where f is a re...
AbstractNonlinear approximation (NA) has usually been studied under deterministic assumptions and co...
AbstractThis is the third paper in which we study iterations using linear information for the soluti...
AbstractThis is a follow-up paper of “Liberating the dimension for function approximation”, where we...
In this paper we study the following problem. Given an operator S and a subset F0 of some linear spa...
This is the third paper in which is studied iterations using linear information for the solution of ...
AbstractThere are many papers dealing with the approximate solution of linear problems where only pa...
AbstractThis is a follow-up paper of “Liberating the dimension for function approximation”, where we...
AbstractThis is the third paper in which we study iterations using linear information for the soluti...
Suppose we have a number of noisy measurements of an unknown real-valued function $f$ near point of ...
For a given nonnegative e we seek a point x* such that if(x*)[ l) satisfying a Lipschitz condition w...
Nonlinear approximation has usually been studied under deterministic assumption and complete informa...
Nonlinear approximation has usually been studied under deterministic assumption and complete informa...
For which error criteria can we solve a nonlinear scalar equation f(x) = 0 where f is a real functio...
In this paper we study the following problem. Given an operator S and a subset FO of some linear spa...
AbstractFor which error criteria can we solve a nonlinear scalar equation f (x) = 0, where f is a re...
AbstractNonlinear approximation (NA) has usually been studied under deterministic assumptions and co...
AbstractThis is the third paper in which we study iterations using linear information for the soluti...
AbstractThis is a follow-up paper of “Liberating the dimension for function approximation”, where we...
In this paper we study the following problem. Given an operator S and a subset F0 of some linear spa...
This is the third paper in which is studied iterations using linear information for the solution of ...
AbstractThere are many papers dealing with the approximate solution of linear problems where only pa...
AbstractThis is a follow-up paper of “Liberating the dimension for function approximation”, where we...
AbstractThis is the third paper in which we study iterations using linear information for the soluti...
Suppose we have a number of noisy measurements of an unknown real-valued function $f$ near point of ...
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