Results 11 to 20 of about 36,965 (299)
On convex quadratic approximation [PDF]
Statistica Neerlandica, 2000 Summary: Let \(n\geq1\) and \(f\) a convex function. Given distinct points \(z_1, z_2,\ldots, z_N\) in \(\mathbb R^n\) we consider the problem of finding a quadratic function \(g\)such that \(|| [f(z_1)-g(z_1),\ldots,f(z_N)-g(z_N)]||\) is minimal for a given norm \(||\cdot||\).
den Hertog, D., de Klerk, E., Roos, J.
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The quadratic hermite-padé approximation [PDF]
Bulletin of the Australian Mathematical Society, 1989 Summary: This is an abstract of the author's thesis. This thesis is concerned with the existence, behaviour and performance of the quadratic Hermite-Padé approximation. It starts with the definition of the general Hermite- Padé approximation. Some of the problems which arise, particularly those of finding Hermite-Padé forms and the existence of ...
Brookes, Richard G.
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Convex Approximation by Quadratic Splines
Journal of Approximation Theory, 1993 The author estimates the error of approximation by \(C^ 1\)-convex quadratic splines of a given convex function \(f\) without any smoothness requirements on its derivative in terms of \(\omega_ 3(f,{1 \over n})\). Actually, he proves the following main Theorem: Let \(f \in C[0,1]\) be a convex, and \(n\) a positive integer.
Hu, Y.K.
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Approximating sparse quadratic programs
Theoretical Computer Science, 2022 Given a matrix $A \in \mathbb{R}^{n\times n}$, we consider the problem of maximizing $x^TAx$ subject to the constraint $x \in \{-1,1\}^n$. This problem, called MaxQP by Charikar and Wirth [FOCS'04], generalizes MaxCut and has natural applications in data clustering and in the study of disordered magnetic phases of matter. Charikar and Wirth showed that
Danny Hermelin +3 more
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EURO Journal on Computational Optimization, 2023 In this paper, two new algorithms for dual decomposition-based distributed optimization are presented. Both algorithms rely on the quadratic approximation of the dual function of the primal optimization problem.
Vassilios Yfantis +4 more
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Convex Quadratic Approximation [PDF]
Computational Optimization and Applications, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
J. Ben Rosen, Roummel F. Marcia
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On Linear-Quadratic Approximations [PDF]
SSRN Electronic Journal, 2006 We prove the generality of the methodology proposed in Benigno and Woodford (2006). We show that, even in the presence of a distorted steady state, it is always possible and relatively simple to obtain a purely quadratic approximation to the welfare measure. We also show that, in order to do so, the timeless perspective assumption is crucial.
Debortoli, Davide, Nunes, Ricardo
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Physics Open, 2020 We give a mathematical procedure to obtain the renormalized adiabatic approximation for the generalized quantum Rabi Hamiltonian with a quadratic interaction.
Masao Hirokawa
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Semiclassical asymptotics of nonlinear Fokker-Plank equation for distributions of asset returns [PDF]
Компьютерные исследования и моделирование, 2009 The semiclassical approximation method is applied for solution construction of the Fokker-Planck equation with quadratic nonlocal nonlinearity and various coefficients in models of asset returns estimation.
Andrey Yur'evich Trifonov +2 more
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Fracture and Structural Integrity, 2022 The readings of the Bragg grating are determined based on the optical radiation reflected from it. A quantitative characteristic of this radiation is the wavelength at which the maximum power of the optical signal is achieved.
I. Shardakov +5 more
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