Risultati della ricerca - Colbrook, Matthew

Another look at Residual Dynamic Mode Decomposition in the regime of fewer Snapshots than Dictionary Size di Colbrook, Matthew J.

Testo

On the Convergence of Hermitian Dynamic Mode Decomposition di Boullé, Nicolas, Colbrook, Matthew J.

Testo

Multiplicative Dynamic Mode Decomposition di Boullé, Nicolas, Colbrook, Matthew J.

Testo

A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity di Drysdale, Catherine, Colbrook, Matthew J.

Testo

Universal Methods for Nonlinear Spectral Problems di Colbrook, Matthew J., Drysdale, Catherine

Testo

Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators di Colbrook, Matthew J., Drysdale, Catherine, Horning, Andrew

Testo

Limits and Powers of Koopman Learning di Colbrook, Matthew J., Mezić, Igor, Stepanenko, Alexei

Testo

Optimal Algorithms for Quantifying Spectral Size with Applications to Quasicrystals di Colbrook, Matthew J., Embree, Mark, Fillman, Jake

Testo

Computing Generalized Eigenfunctions in Rigged Hilbert Spaces di Colbrook, Matthew J., Horning, Andrew, Xie, Tianyiwa

Testo

Convergent Methods for Koopman Operators on Reproducing Kernel Hilbert Spaces di Boullé, Nicolas, Colbrook, Matthew J., Conradie, Gustav

Testo

Noisy PDE Training Requires Bigger PINNs di Andre-Sloan, Sebastien, Mukherjee, Anirbit, Colbrook, Matthew

Testo

An Introductory Guide to Koopman Learning di Colbrook, Matthew J., Drmač, Zlatko, Horning, Andrew

Testo

Computation and Verification of Spectra for Non-Hermitian Systems di Drysdale, Catherine, Colbrook, Matthew, Woodley, Michael T. M.

Testo

Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods di Adcock, Ben, Colbrook, Matthew J., Neyra-Nesterenko, Maksym

Testo

Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms di Mohammad-Taheri, Sina, Colbrook, Matthew J., Brugiapaglia, Simone

Testo

Finding Koopman Invariant Subspaces via Personalized PageRank di Hong, Hyukpyo, Li, Qin, Colbrook, Matthew J., Lyu, Hanbaek

Testo

Bridging the Gap between Koopmanism and Response Theory: Using Natural Variability to Predict Forced Response di Zagli, Niccolò, Colbrook, Matthew, Lucarini, Valerio, Mezić, Igor, Moroney, John

Testo

Avoiding spectral pollution for transfer operators using residuals di Herwig, April, Colbrook, Matthew J., Junge, Oliver, Koltai, Péter, Slipantschuk, Julia

Testo

Weighted Birkhoff Averages Accelerate Data-Driven Methods di Bou-Sakr-El-Tayar, Maria, Bramburger, Jason J., Colbrook, Matthew J.

Testo

Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds di Conradie, Gustav, Boullé, Nicolas, Loiseau, Jean-Christophe, Brunton, Steven L., Colbrook, Matthew J.

Testo