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search results for `computational mathematics` |u:www.damtp.cam.ac.uk
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10th_Popov_Prize
www.damtp.cam.ac.uk/user/mjc249/talks/Popov_talk_FoCM_mjc.pdf15 Jul 2023: SCI throughout computational mathematics 36/37. • Computer-assisted proofs (Σ1 Π11)• Fefferman, Seco, “Aperiodicity of the Hamiltonian flow in the Thomas-Fermi potential,” Rev. ... SCI throughout computational mathematics. Andrew Horning -
brum_mjc
www.damtp.cam.ac.uk/user/mjc249/talks/birmingham_mjc.pdf20 Sep 2023: computational analysis Compute spectral properties rigorously, practically! • Continuous linear algebra Avoid the woes of discretization. • ... 16] Colbrook, Matthew J. "On the computation of geometric features of spectra of linear operators on -
Koop_italy_mjc
www.damtp.cam.ac.uk/user/mjc249/talks/Koopman_workshop_mjc.pdf20 May 2024: operators for dynamical systems” Communications on Pure and Applied Mathematics, 2024.• C., "The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical. ... 17] Colbrook, Matthew J. "On the computation of geometric features of -
PDEs_meets_DATA_mjc
www.damtp.cam.ac.uk/user/mjc249/talks/PDE_meets_data_mjc.pdf19 Sep 2023: computational analysis Compute spectral properties rigorously, practically! • Continuous linear algebra Avoid the woes of discretization. • ... 16] Colbrook, Matthew J. "On the computation of geometric features of spectra of linear operators on -
Koopman_turing_talk_mjc
www.damtp.cam.ac.uk/user/mjc249/talks/rigged_DMD_turing.pdf23 May 2024: operators for dynamical systems” Communications on Pure and Applied Mathematics, 2024.• C., "The mpEDMD Algorithm for Data-Driven Computations of Measure-Preserving Dynamical. ... 17] Colbrook, Matthew J. "On the computation of geometric features of -
G-Adaptive mesh refinement - leveraging graphneural networks and…
www.damtp.cam.ac.uk/user/gam37/preprints/preprint_g-adaptive_mesh_refinement.pdf11 Jun 2024: 2 Related work. ML and PDEs As indicated above, the effective approximation of solutions to partial differentialequations is one of the central problems in computational mathematics. ... Hairer and G. Wanner. Solving Ordinary Differential Equations II, -
ON THE EXISTENCE OF OPTIMAL MULTI-VALUED DECODERS AND THEIR ...
www.damtp.cam.ac.uk/research/afha/anders/Version0.pdf28 Nov 2023: 1. INTRODUCTION. Finite dimensional inverse problems are ubiquitous in the computational sciences as they naturally appearin a plethora of applications. ... 5. RELATION TO PREVIOUS WORK. As an ongoing topic of research in many areas of mathematics, -
COMPUTING SPECTRA – ON THE SOLVABILITY COMPLEXITY INDEX HIERARCHYAND…
www.damtp.cam.ac.uk/research/afha/anders/SCI_FINAL.pdf20 Nov 2023: This is a classification hierarchy for all types of prob-lems in computational mathematics that allows for classifications determining the boundaries of what algorithmscan achieve. ... The SCI hierarchy captures many key computational issues in the -
WHEN CAN YOU TRUST FEATURE SELECTION? – I: A ...
www.damtp.cam.ac.uk/research/afha/anders/InitialSubmitFeatureSelectionDeterministic.pdf18 Dec 2023: Remark 1.3 (Trustworthiness of algorithms). By ’trustworthy algorithm’ for a computational problem, we meanthe following. ... Condition in optimisation: Condition numbers in computational mathematics and numerical analysis have beena mainstay [27, 39] -
Part IIC Michaelmas term 2021 QUANTUM INFORMATION AND COMPUTATION ...
www.damtp.cam.ac.uk/user/examples/D27L.pdf19 Nov 2023: e. the number of computational steps, and ‘space’i.e. the amount of computer memory workspace needed. ... Our discussion of computational complexity above shows that thelatter is surely the way to go!
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