In this work efficient geometric algorithms are provided for the linear approximation of digital signals under the uniform norm. Given a set of n points (xi, yi)i=1..n, with xi < xj if i < j, we give a new method to find the optimum linear approximation in O(n). Given also an error bound, we demonstrate how to construct in O(n) a non continuous piecewise solution such that the number k of segments is optimal. Furthermore we show that for such number of segments, the solution that is l∞ optimal can also be found in O(n) provided that n/k = O(1)
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
AbstractLet S be a bounded linear transformation from a. Hilbert space B to a Hilbert space Σ. Then ...
This report presents an algorithm that finds an -feasible solution relatively to some constraints ...
Approximation of digital signals by means of continuous-time functions is often required in many tas...
AbstractThe introduction of high-speed circuits to realize an arithmetic function f as a piecewise l...
AbstractGiven a bounded real function ƒ defined on a closed bounded real interval I, the problem is ...
AbstractWe compare linear and non–linear approximations for linear problems. Let X be a linear space...
We study optimal algorithms and optimal information in an average case model for linear problems in ...
This thesis addresses several problems in the facility location sub-area of computational geometry. ...
In this paper, we address the problem of approximating and over/under-estimating univariate function...
AbstractThis paper deals with the recovery of band- and energy-limited signals in Lp(I)-norm from He...
AbstractWe list and discuss published programs for best approximation of functions by linear and non...
We consider a new combinatorial optimization problem related to linear systems (MIN PFS) that consis...
AbstractIn approximating an arbitrary point of Rn from a fixed subspace, it is known that the net of...
AbstractThis article considers the problem of approximating a function defined on a finite set of (n...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
AbstractLet S be a bounded linear transformation from a. Hilbert space B to a Hilbert space Σ. Then ...
This report presents an algorithm that finds an -feasible solution relatively to some constraints ...
Approximation of digital signals by means of continuous-time functions is often required in many tas...
AbstractThe introduction of high-speed circuits to realize an arithmetic function f as a piecewise l...
AbstractGiven a bounded real function ƒ defined on a closed bounded real interval I, the problem is ...
AbstractWe compare linear and non–linear approximations for linear problems. Let X be a linear space...
We study optimal algorithms and optimal information in an average case model for linear problems in ...
This thesis addresses several problems in the facility location sub-area of computational geometry. ...
In this paper, we address the problem of approximating and over/under-estimating univariate function...
AbstractThis paper deals with the recovery of band- and energy-limited signals in Lp(I)-norm from He...
AbstractWe list and discuss published programs for best approximation of functions by linear and non...
We consider a new combinatorial optimization problem related to linear systems (MIN PFS) that consis...
AbstractIn approximating an arbitrary point of Rn from a fixed subspace, it is known that the net of...
AbstractThis article considers the problem of approximating a function defined on a finite set of (n...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
AbstractLet S be a bounded linear transformation from a. Hilbert space B to a Hilbert space Σ. Then ...
This report presents an algorithm that finds an -feasible solution relatively to some constraints ...