Results 51 to 60 of about 2,924,633 (320)
Improving the ensemble transform Kalman filter using a second-order Taylor approximation of the nonlinear observation operator [PDF]
Nonlinear Processes in Geophysics, 2014 The ensemble transform Kalman filter (ETKF) assimilation scheme has recently seen rapid development and wide application. As a specific implementation of the ensemble Kalman filter (EnKF), the ETKF is computationally more efficient than the conventional ...
G. Wu +6 more
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Journal of Approximation Theory, 1974 AbstractThe properties of best nonlinear approximations with respect to a generalized integral norm on an interval are studied. A necessary condition for an approximation to be locally best is obtained. The interpolatory properties of best approximations are related to the dimension of a Haar subspace in the tangent space. A sufficient condition for an
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Nonlinear Knowledge in Kernel Approximation [PDF]
IEEE Transactions on Neural Networks, 2007 Prior knowledge over arbitrary general sets is incorporated into nonlinear kernel approximation problems in the form of linear constraints in a linear program. The key tool in this incorporation is a theorem of the alternative for convex functions that converts nonlinear prior knowledge implications into linear inequalities without the need to ...
Olvi L. Mangasarian, Edward W. Wild
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Padé-Sumudu-Adomian Decomposition Method for Nonlinear Schrödinger Equation
Journal of Applied Mathematics, 2021 The main purpose of this paper is to solve the nonlinear Schrödinger equation using some suitable analytical and numerical methods such as Sumudu transform, Adomian Decomposition Method (ADM), and Padé approximation technique. In many literatures, we can
Metomou Richard, Weidong Zhao
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The complexity of approximating a nonlinear program [PDF]
Mathematical Programming, 1993 We consider the problem of finding the maximum of a multivariate polynomial inside a convex polytope. We show that there is no polynomial time approximation algorithm for this problem, even one with a very poor guarantee, unless P = NP. We show that even when the polynomial is quadratic (i.e.
Mihir Bellare, Phillip Rogaway
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Nonlinear tensor product approximation of functions [PDF]
, 2014 We are interested in approximation of a multivariate function $f(x_1,\dots,x_d)$ by linear combinations of products $u^1(x_1)\cdots u^d(x_d)$ of univariate functions $u^i(x_i)$, $i=1,\dots,d$.
Bazarkhanov, D., Temlyakov, V.
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The RKFIT Algorithm for Nonlinear Rational Approximation
SIAM Journal on Scientific Computing, 2017 The RKFIT algorithm outlined in [M. Berljafa and S. GA¼ttel, Generalized rational Krylov decompositions with an application to rational approximation, SIAM J. Matrix Anal.
Mario Berljafa, S. Güttel
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A BP-MF-EP Based Iterative Receiver for Joint Phase Noise Estimation, Equalization and Decoding
, 2016 In this work, with combined belief propagation (BP), mean field (MF) and expectation propagation (EP), an iterative receiver is designed for joint phase noise (PN) estimation, equalization and decoding in a coded communication system. The presence of the
Guo, Qinghua +5 more
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Electrochemical capacitance of a leaky nano-capacitor [PDF]
, 1999 We report a detailed theoretical investigation on electrochemical capacitance of a nanoscale capacitor where there is a DC coupling between the two conductors.
B. Sll +36 more
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Nonlinear Approximation by Sums of Exponentials and Translates
SIAM Journal on Scientific Computing, 2011 In this paper, we discuss the numerical solution of two nonlinear approximation problems. Many applications in electrical engineering, signal processing, and mathematical physics lead to the following problem.
T. Peter, D. Potts, M. Tasche
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