Evaluating Sample-Based Krylov Quantum Diagonalization for Heisenberg Models with Applications to Materials Science. [PDF]
Entropy (Basel)Misciasci N +6 more
europepmc +1 more source
NOISY MRI RECONSTRUCTION VIA MAP ESTIMATION WITH AN IMPLICIT DEEP-DENOISER PRIOR. [PDF]
Proc Int Conf Image ProcJanjušević N +3 more
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Accurate and scalable deep Maxwell solvers. [PDF]
Proc Natl Acad Sci U S AMao C, Fan JA.
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Selected Configuration Interaction Using Time-Evolved Population Statistics. [PDF]
J Chem Theory ComputWeaving T +3 more
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Variational log-Gaussian point-process methods for grid cells. [PDF]
Hippocampus, 2023 Rule ME +5 more
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Enhanced Krylov Methods for Molecular Hamiltonians: Reduced Memory Cost and Complexity Scaling via Tensor Hypercontraction. [PDF]
J Chem Theory ComputWang Y, Luo M, Reumann M, Mendl CB.
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Iterative-Based Impact Force Identification on a Bridge Concrete Deck. [PDF]
Sensors (Basel), 2023 Rashidi M +4 more
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Estimating the numerical range with a Krylov subspace
Krylov subspace methods are a powerful tool for efficiently solving high-dimensional linear algebra problems. In this work, we study the approximation quality that a Krylov subspace provides for estimating the numerical range of a matrix.
Urschel, John, Chen, Cecilia
core +1 more source
Network analysis using Krylov subspace trajectories. [PDF]
Complex Netw ApplRobert Frost H.
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Fast Numerical Solvers for Parameter Identification Problems in Mathematical Biology. [PDF]
J Sci ComputBenková K, Pearson JW, Ptashnyk M.
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