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Convergence of the SQP method for quasilinear parabolic optimal control problems 

Hoppe, Fabian; Neitzel, Ira (2019-11)
Based on the theoretical framework recently proposed by Bonifacius and Neitzel (2018) we discuss the sequential quadratic programming (SQP) method for the numerical solution of an optimal control problem governed by a ......
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Multiscale Petrov-Galerkin method for high-frequency heterogeneous Helmholtz equations 

Brown, Donald L.; Gallistl, Dietmar; Peterseim, Daniel (2015-12)
This paper presents a multiscale Petrov-Galerkin finite element method for time-harmonic acoustic scattering problems with heterogeneous coefficients in the high-frequency regime. We show that the method is pollution-free ......
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Eliminating the pollution effect in Helmholtz problems by local subscale correction 

Peterseim, Daniel (2014-11)
We introduce a new Petrov-Galerkin multiscale method for the numerical approximation of the Helmholtz equation with large wave number κ in bounded domains in ℝd. The discrete trial and test spaces are ......
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A sparse grid based generative topographic mapping for the dimensionality reduction of high-dimensional data 

Griebel, Michael; Hullmann, Alexander (2012-05)
Most high-dimensional data exhibit some correlation such that data points are not distributed uniformly in the data space but lie approximately on a lower-dimensional manifold. A major problem in many data-mining applications ...
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A note on the construction of L-fold sparse tensor product spaces 

Griebel, Michael; Harbrecht, Helmut (2012-04)
In the present paper, we consider the construction of general sparse tensor product spaces in arbitrary space dimensions when the single subdomains are of different dimensionality and the associated ansatz spaces possess ......
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Incremental kernel based approximations for Bayesian inverse problems 

Rieger, Christian (2018-05)
We provide an interpretation for the covariance of the predictive process of Bayesian Gaussian process regression as reproducing kernel of a subset of the Cameron Martin space of the prior. We demonstrate that this ......
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Intraday foreign exchange rate forecasting using sparse grids 

Garcke, Jochen; Gerstner, Thomas; Griebel, Michael (2010-11)
We present a machine learning approach using the sparse grid combination technique for the forecasting of intraday foreign exchange rates. The aim is to learn the impact of trading rules used by technical analysts just ......
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Subspace correction methods in algebraic multi-level frames 

Zaspel, Peter (2015-06)
This study aims at introducing new algebraic multi-level solution techniques for linear systems with M-matrices. Previous optimal geometric constructions by multi-level generating systems or multi-level frames are adapted. ...
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An efficient sparse grid Galerkin approach for the numerical valuation of basket options under Kou's jump-diffusion model 

Griebel, Michael; Hullmann, Alexander (2012-02)
We use a sparse grid approach to discretize a multi-dimensional partial integro-differential equation (PIDE) for the deterministic valuation of European put options on Kou’s jump-diffusion processes. We employ a generalized ......
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Haar system as Schauder basis in Besov spaces: the limiting cases for 0 < p ≤ 1 

Peter Oswald (2018-09)
We show that the d-dimensional Haar system Hd on the unit cube Id is a Schauder basis in the classical Besov space Bsp,q,1(Id), 0 < p < 1, defined by first order ......
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AuthorGriebel, Michael (73)Peterseim, Daniel (17)Hamaekers, Jan (16)Garcke, Jochen (10)Rieger, Christian (10)Neitzel, Ira (9)Oswald, Peter (8)Bohn, Bastian (6)Gallistl, Dietmar (6)Harbrecht, Helmut (6)... View MoreSubjectsparse grids (7)multiscale method (6)convergence rates (5)Sparse grids (5)error estimates (4)subspace correction (4)upscaling (4)a priori error estimates (3)adaptive mesh refinement (3)Brownian configuration fields (3)... View MoreClassification (DDC)
510 Mathematik (153)
518 Numerische Analysis (153)... View MoreResource Type
Preprint (153)
... View MoreDate Issued2020 - 2024 (25)2010 - 2019 (116)2005 - 2009 (12)

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