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Sparse Polynomial Optimization

2022
The problem of minimizing a polynomial over a set of polynomial inequalities is an NP-hard non-convex problem. Thanks to powerful results from real algebraic geometry, one can convert this problem into a nested sequence of finite-dimensional convex problems. At each step of the associated hierarchy, one needs to solve a fixed size semidefinite program,
Magron, Victor, Wang, Jie
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Optimal Polynomial Filters

Journal of Graphics Tools, 2005
In this paper, we present a family of circular or square optimal polynomial filters for prefiltering two-dimensional polygons and images.
Zhouchen Lin   +3 more
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Optimization of Polynomial Functions

Canadian Mathematical Bulletin, 2003
AbstractThis paper develops a refinement of Lasserre's algorithm for optimizing a polynomial on a basic closed semialgebraic set via semidefinite programming and addresses an open question concerning the duality gap. It is shown that, under certain natural stability assumptions, the problem of optimization on a basic closed set reduces to the compact ...
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Optimization of Polynomial Fractional Functions

Journal of Global Optimization, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tuy, Hoang   +2 more
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Optimal stability polynomials

Computing, 1972
Stability Polynomials characterize the propagation behaviour of the error vectors associated with the numerical solution of differential equations. It is desirable that these polynomials extend as far as possible along the negativex-axis in a strip of width 2.
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Optimal reparameterization of polynomial algebraic curves

ACM SIGSAM Bulletin, 1999
In this paper, we present an algorithm for optimally parametrizing polynomial algebraic curves. Let [Formula: see text] be a polynomial plane algebraic curve given by a polynomial parametrization [Formula: see text] , where [Formula: see text] is a finite field extension of a field [Formula: see text] of characteristic zero.
Sendra, J. Rafael, Villarino, Carlos
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Polynomial optimization problems

USSR Computational Mathematics and Mathematical Physics, 1987
A method for locating global extrema in polynomial optimization problems is proposed. The idea of the method is to reduce the problem to a finite sequence of problems that involve finding the location of the real roots of algebraic polynomials.
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Quadrature-based polynomial optimization

Optimization Letters, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martinez, Angeles   +3 more
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Optimal segmented polynomial L s -approximations

Computing, 1981
Characteristic properties of such approximations are given. An algorithm providing good, but not necessarily best, approximations is also discussed.
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Generalized Polynomial Optimization

SIAM Journal on Applied Mathematics, 1967
Passy, U., Wilde, D. J.
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