Details
Title
Kressner, Daniel
Sciper ID
213191
Affiliated labs
ANCHP
Publications
A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations
Low rank differential equations for Hamiltonian matrix nearness problems
Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing
MATHICSE Technical Report : Low-rank tensor approximation for high-order correlation functions of Gaussian random fields
MATHICSE Technical Report : Multigrid methods combined with low-rank approximation for tensor structured Markov chains
MATHICSE Technical Report : Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
MATHICSE Technical Report : Structure-preserving low multilinear rank approximation of antisymmetric tensors
Multigrid Methods Combined With Low-Rank Approximation For Tensor-Structured Markov Chains
On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
Optimally Packed Chains of Bulges in Multishift QR Algorithms
See complete list of publications (151)
Low rank differential equations for Hamiltonian matrix nearness problems
Low-Rank Tensor Approximation for Chebyshev Interpolation in Parametric Option Pricing
MATHICSE Technical Report : Low-rank tensor approximation for high-order correlation functions of Gaussian random fields
MATHICSE Technical Report : Multigrid methods combined with low-rank approximation for tensor structured Markov chains
MATHICSE Technical Report : Preconditioned low-rank Riemannian optimization for linear systems with tensor product structure
MATHICSE Technical Report : Structure-preserving low multilinear rank approximation of antisymmetric tensors
Multigrid Methods Combined With Low-Rank Approximation For Tensor-Structured Markov Chains
On low-rank approximability of solutions to high-dimensional operator equations and eigenvalue problems
Optimally Packed Chains of Bulges in Multishift QR Algorithms
See complete list of publications (151)
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Kressner, D.
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