Add to ORKGThe conventional least-square approximation was also13; applied to the same problem. But by actual computation it13; was found that relative error in approximating the function13; by least-square approximation was too high to be compared13; with that in approximating the function by minimax approximation. This guides us to apply the minimax approximation to the problem
Abstract. Given a function on Rn with many multiple local minima we approximate it from below, via c...
Mathematical programming applications often require an objective function to be ap-proximated by one...
We consider the problem of minimizing the sum of a series of univariate (possibly non-convex) functi...
A. Interpolation and Approximation The problem with which we are concerned is that of finding some f...
One of the most popular algorithms for solving minimax approximation problems is the Barrodale and P...
This study examines the various considerations which are made when a function is approximated by a r...
Implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (19...
© 2016 IEEE.The problem of approximating the complex-valued function modulus using a minimax criteri...
<p>A piece-wise linear approximation (PLA) is shown in green. It is computed by linearly interpolati...
AbstractIt is well known that a near minimax polynomial approximation p is obtained by truncating th...
In the paper the polynomial mean-square approximation method was applied, where the applied criterio...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
Abstract. Given a function on Rn with many multiple local minima we approximate it from below, via c...
Mathematical programming applications often require an objective function to be ap-proximated by one...
We consider the problem of minimizing the sum of a series of univariate (possibly non-convex) functi...
A. Interpolation and Approximation The problem with which we are concerned is that of finding some f...
One of the most popular algorithms for solving minimax approximation problems is the Barrodale and P...
This study examines the various considerations which are made when a function is approximated by a r...
Implements the algorithm of Remez (1962) for polynomial minimax approximation and of Cody et al. (19...
© 2016 IEEE.The problem of approximating the complex-valued function modulus using a minimax criteri...
<p>A piece-wise linear approximation (PLA) is shown in green. It is computed by linearly interpolati...
AbstractIt is well known that a near minimax polynomial approximation p is obtained by truncating th...
In the paper the polynomial mean-square approximation method was applied, where the applied criterio...
Methods are examined for finding an optimal least-squares approximation to a continuous function on ...
Abstract. Given a function on Rn with many multiple local minima we approximate it from below, via c...
Mathematical programming applications often require an objective function to be ap-proximated by one...
We consider the problem of minimizing the sum of a series of univariate (possibly non-convex) functi...