Convergence properties of gradient descent noise reduction

DOI10.1016/S0167-2789(02)00376-7zbMath1008.37049MaRDI QIDQ1597262

David Ridout, Kevin Judd

Publication date: 12 May 2002

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

algorithmnumerical experimentstrajectorynonlinear dynamical system

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10)

Related Items (6)

Statistical inference for dynamical systems: a review ⋮ Absolutely minimising generalised solutions to the equations of vectorial calculus of variations in \(L^\infty \) ⋮ Shadowing pseudo-orbits and gradient descent noise reduction ⋮ Indistinguishable states. I: Pefect model scenario. ⋮ On the stable equilibrium points of gradient systems ⋮ Horizontal gradient of polynomials

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• Beneath the noise, chaos
• Hartman’s theorem for hyperbolic sets
• NOISE REDUCTION BY GRADIENT DESCENT
• Shadowing of physical trajectories in chaotic dynamics: Containment and refinement
• On noise reduction methods for chaotic data
• On a Theorem of P. Hartman
• Indistinguishable states. I: Pefect model scenario.

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