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Lecture 5 - Principles of Quantum Mechanics /… duration 51 minutes 19 seconds Lecture 5 - Principles of Quantum Mechanics /… Lecture 5 - Principles of Quantum Mechanics / Quantum Physics	Lecture 5 - Principles of Quantum Mechanics / Quantum Physics Principles of Quantum Mechanics / Quantum Physics - Lecture 5 physics and astronomy quantum physics principles of quantum mechanics prime energy perturbation eigenstates eigen expansion degeneracy problem operator hat naught theory subspace minus words matrix equation degenerate hamiltonian respect From Arjun Berera 0 likes 122 plays 0 Course Code PHYS10094 Licence Type All rights reserved The University of Edinburgh Language English Date Created June 26th, 2023 Retain Source File Yes
Lecture 3 - Principles of Quantum Mechanics /… duration 49 minutes 13 seconds Lecture 3 - Principles of Quantum Mechanics /… Lecture 3 - Principles of Quantum Mechanics / Quantum Physics	Lecture 3 - Principles of Quantum Mechanics / Quantum Physics Principles of Quantum Mechanics / Quantum Physics - Lecture 3 physics and astronomy quantum physics principles of quantum mechanics momentum hat degeneracy eigen operator vector measurement subspace operators words vectors prime eigenbasis values eigenstates mechanics eigenstate component degenerate point From Arjun Berera 0 likes 97 plays 0 Course Code PHYS10094 Licence Type All rights reserved The University of Edinburgh Language English Date Created June 26th, 2023 Retain Source File Yes
Tree-Projected Gradient Descent for Estimating… duration 42 minutes 42 seconds Tree-Projected Gradient Descent for Estimating… Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs - Zhou Fan	Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs - Zhou Fan Structural Breaks and Shape Constraints Tree-Projected Gradient Descent for Estimating Gradient-Sparse Parameters on Graphs Zhou Fan (Yale University) 17 May 2022 icms tree graph star edge sparsity theta kind gradient subspace loss idea algorithm projection space step question problem factor kinds edges From Iain Cms 0 likes 33 plays 0 Licence Type All rights reserved Language English Date Created May 19th, 2022
Shape Constraints Imposed by Linear Layers in… duration 42 minutes 53 seconds Shape Constraints Imposed by Linear Layers in… Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett	Shape Constraints Imposed by Linear Layers in Neural Networks - Rebecca Willett Structural Breaks and Shape Constraints Shape Constraints Imposed by Linear Layers in Neural Networks Rebecca Willett (University of Chicago) 16 May 2022 icms function network layer representation networks layers weights functions samples linear training subspace cost units relu things alignment matrix space norm From Iain Cms 0 likes 38 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
Stephen Weiss Presentation - SSPD 2021 duration 24 minutes 12 seconds Stephen Weiss Presentation - SSPD 2021 Stephen Weiss Presentation - SSPD 2021	Stephen Weiss Presentation - SSPD 2021 Presented at the Sensor Signal Processing for Defence Conference (SSPD) 2021Presentation: "Detection of Weak Transient Signals Using a Broadband Subspace Approach" Speaker: Stephan Weiss,… sspd 2021 matrix signal vector subspace covariance sources components source syndrome detection decomposition power sensor impulse distributions projection responses environment sensors signals From Joe Burchell 0 likes 19 plays 0 Licence Type All rights reserved Language English Date Created September 14th, 2021
One World: Stochastic Numerics and Inverse… duration 52 minutes 41 seconds One World: Stochastic Numerics and Inverse… One World: Stochastic Numerics and Inverse Problems - Raul Tempone (KAUST)	One World: Stochastic Numerics and Inverse Problems - Raul Tempone (KAUST) Subtitles will be added soon. One World: Stochastic Numerics and Inverse Problems Raul Tempone (KAUST) oneworld stochastic numerics and inverse problems seminar icms respect approximation level multi measure sampling variance samples rate context expectation cost quantity parameter process term sample carlo monte subspace thing delta variable From Liam Holligan 0 likes 42 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created September 22nd, 2021
James Pascoe Abstract preservers duration 48 minutes 49 seconds James Pascoe Abstract preservers James Pascoe Abstract preservers	James Pascoe Abstract preservers Applied matrix positivity James Pascoe Abstract preservers This recording is in the process of being subtitled. Subtitles will be available in due course. applied matrix positivity sum sort cone structure invariant times function subspace theorem point thing space endomorphisms polynomials x. sets condition result proof algebra From Greg McCracken 0 likes 7 plays 0 Licence Type All rights reserved Language English Date Created July 21st, 2021
One World Virtual Seminar Series - Stochastic… duration 51 minutes 57 seconds One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Svetlana Dubinkina	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Svetlana Dubinkina Svetlana Dubinkina, Vrije Universiteit Amsterdam - Shadowing approach to data assimilation Automatic subtitles have been added to this recording. We are editing the subtitles to reflect the speaker,… icms stochastic numerics data observations simulation observation error synchronisation cost trajectory approach subspace orbit solution conditions function condition curve dimension model method variables guess From Jane Walker 0 likes 88 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created February 17th, 2021
When principal components fail duration 1 minute 51 seconds When principal components fail When principal components fail	When principal components fail When principal components fail iaml pca attribute linear thing variance covariance dimension projection component matrix sheet subspace subspaces mind variances deviation distances fact gazillion attributes From Nigel Goddard 1 likes 2,122 plays 0 Licence Type Creative Commons - Attribution