Details
Title
ANCHP
Formal Name (French)
Algorithmes numériques et calcul haute performance - Chaire CADMOS
Formal Name (English)
Numerical Algorithms and High-Performance Computing - CADMOS Chair
Lab Manager
Kressner, Daniel
Group ID
U12478
Affiliated authors
Ballani, Jonas
Bettschen, Samantha
Bujanovic, Zvonimir
Ceruti, Gianluca
Cortinovis, Alice
Guido, Margherita
He, Haoze
Kressner, Daniel
Lam, Hei Yin
Luce, Robert
Lund, Kathryn Dianne
Massei, Stefano
Matti, Fabio
Oehme, Peter
Perisa, Lana
Persson, Ulf David
Peters, Michael Dieter
Risse, Catherine
Sain Glibic, Ivana
Santos Paredes Quartin de Macedo, Francisco
Schweitzer, Marcel
Shao, Meiyue
Shao, Nian
Sirkovic, Petar
Statti, Francesco
Steinlechner, Michael Maximilian
Strössner, Christoph Max
Susnjara, Ana
Séguin, Axel Elie Joseph
Uschmajew, André
Bettschen, Samantha
Bujanovic, Zvonimir
Ceruti, Gianluca
Cortinovis, Alice
Guido, Margherita
He, Haoze
Kressner, Daniel
Lam, Hei Yin
Luce, Robert
Lund, Kathryn Dianne
Massei, Stefano
Matti, Fabio
Oehme, Peter
Perisa, Lana
Persson, Ulf David
Peters, Michael Dieter
Risse, Catherine
Sain Glibic, Ivana
Santos Paredes Quartin de Macedo, Francisco
Schweitzer, Marcel
Shao, Meiyue
Shao, Nian
Sirkovic, Petar
Statti, Francesco
Steinlechner, Michael Maximilian
Strössner, Christoph Max
Susnjara, Ana
Séguin, Axel Elie Joseph
Uschmajew, André
Institute
MATH
Faculty
SB
Note
Members of ANCHP-unit
Linked resource
http://anchp.epfl.ch/
Publications
A preconditioned low-rank CG method for parameter-dependent Lyapunov matrix equations
A survey and comparison of contemporary algorithms for computing the matrix geometric mean
Convergence Results For Projected Line-Search Methods On Varieties Of Low-Rank Matrices Via Lojasiewicz Inequality
Distributed Signal Processing via Chebyshev Polynomial Approximation
Low rank differential equations for Hamiltonian matrix nearness problems
MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion
MATHICSE Technical Report : Structure-preserving low multilinear rank approximation of antisymmetric tensors
Multigrid Methods Combined With Low-Rank Approximation For Tensor-Structured Markov Chains
Optimally Packed Chains of Bulges in Multishift QR Algorithms
The geometry of algorithms using hierarchical tensors
See complete list of publications (198)
A survey and comparison of contemporary algorithms for computing the matrix geometric mean
Convergence Results For Projected Line-Search Methods On Varieties Of Low-Rank Matrices Via Lojasiewicz Inequality
Distributed Signal Processing via Chebyshev Polynomial Approximation
Low rank differential equations for Hamiltonian matrix nearness problems
MATHICSE Technical Report : Riemannian optimization for high-dimensional tensor completion
MATHICSE Technical Report : Structure-preserving low multilinear rank approximation of antisymmetric tensors
Multigrid Methods Combined With Low-Rank Approximation For Tensor-Structured Markov Chains
Optimally Packed Chains of Bulges in Multishift QR Algorithms
The geometry of algorithms using hierarchical tensors
See complete list of publications (198)
Record appears in
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