Results 121 to 130 of about 6,501 (223)
, 1976 For the numerical solution of differential equations of the second order there are two possibilities: 1. To transform it into a system of the first order (of doubled dimension) and to integrate by a standard routine. 2.
Wanner, Gerhard, Hairer, Ernst
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Numerical solution of a fractional order model of HIV infection of CD4+T cells.
پژوهشهای ریاضی, 2022 In this paper we consider a fractional order model of HIV infection of CD4+T cells and we transform this fractional order system of ordinary differential equations to a system of weakly singular integral equations. Afterwards we propose a Nystrom method
Roghayeh Katani
doaj
Spectral grouping using the Nystrom method
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004 Charless C. Fowlkes +3 more
semanticscholar +1 more source
Energy conservation in modified Nyström methods for separable Hamiltonian systems
, 2003 Numerical integration methods that preserve structural properties of time dependent differential equations have often improved stability and smaller errors in long-term simulations than classical standard methods like Runge-Kutta or BDF.
Pfeiffer, Andreas +3 more
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Stability of Runge–Kutta–Nyström methods
, 2006 In this paper, a general and detailed study of linear stability of Runge–Kutta–Nyström (RKN) methods is given. In the case that arbitrarily stiff problems are integrated, we establish a condition that RKN methods must satisfy so that a uniform bound for ...
Moreta, M.J., Alonso-Mallo, I., Cano, B.
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Making large-scale Nyström approximation possible
, 2010 The Nyström method is an efficient technique for the eigenvalue decomposition of large kernel matrices. However, in order to ensure an accurate approximation, a sufficiently large number of columns have to be sampled.
Li, Mu, Kwok, James T., Lu, Bao Liang
core
Randomized Nyström Approximation of Non-negative Self-Adjoint Operators
The randomized singular value decomposition (SVD) has become a popular approach to computing cheap, yet accurate, low-rank approximations to matrices due to its efficiency and strong theoretical guarantees.
Kressner, Daniel +2 more
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Making the Nyström Method Highly Accurate for Low-Rank Approximations
SIAM Journal on Scientific ComputingJianlin Xia
semanticscholar +1 more source
Nyström Kernel Stein Discrepancy
Kernel methods underpin many of the most successful approaches in data science and statistics, and they allow representing probability measures as elements of a reproducing kernel Hilbert space without loss of information.
Szabo, Zoltan +2 more
core
A singly diagonally implicit Runge-Kutta-Nyström method for solving oscillatory problems.
, 2011 In this paper a singly diagonally implicit Runge-Kutta-Nyström (RKN) method is developed for second-order ordinary differential equations with periodical solutions.
Senu, Norazak +3 more
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