Question

Can you define Self-adjoint/Hermitian as essentially the same as normal but for real (non-complex) inner product spaces?

score 13 · Answer 1 · 2020-03-17 15:36:53

Can you define Self-adjoint/Hermitian as essentially the same as normal but for real (non-complex) inner product spaces?

score 13 · Answer 2 · 2020-03-12 12:04:37

13

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Projection of the unit normal to the graph of function

Published on 12 Mar 2020 - 12:04

score 13 · Answer 3 · 2020-03-11 16:30:21

13

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Range of rational functions in artificially defined domains

Published on 11 Mar 2020 - 16:30

score 13 · Answer 4 · 2020-03-07 11:55:06

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dual pairing and separation

Published on 07 Mar 2020 - 11:55

score 13 · Answer 5 · 2020-02-15 15:31:48

13

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Predicting the frequency of the individual, ranked words of a text

Published on 15 Feb 2020 - 15:31

score 13 · Answer 6 · 2020-02-09 18:28:28

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Continuous random events with exponential time

Published on 09 Feb 2020 - 18:28

score 13 · Answer 7 · 2020-02-06 00:11:09

13

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Infinite tensor products and representations of anticommutation relations by Guichardet, A.

Published on 06 Feb 2020 - 0:11

score 13 · Answer 8 · 2020-02-04 15:20:59

13

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Exponential Limits And Indeterminate Forms

Published on 04 Feb 2020 - 15:20

score 13 · Answer 9 · 2019-12-27 11:45:33

13

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Applying Playfair's axiom when the point lies on the given line

Published on 27 Dec 2019 - 11:45

score 13 · Answer 10 · 2026-03-01 08:38:00

13

Views

Is there an algorithm which mixes augmented Lagrangean and projected gradient?

Published on 01 Mar 2026 - 8:38

score 13 · Answer 11 · 2026-03-01 08:38:00

Reference that explores calculating the continuous limiting distribution of a sequence of discrete random variables

score 13 · Answer 12 · 2019-12-17 17:10:29

Why is the domain of a lagrangian functional, of the form $\Omega\times\mathbb{R}^N\times\mathbb{R}^M$ instead of just $\Omega$?

score 13 · Answer 13 · 2026-03-01 08:38:00

13

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A practical way to project large-scale vectors (of size millions) to 2d space

Published on 01 Mar 2026 - 8:38

score 13 · Answer 14 · 2026-03-01 08:38:00

13

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What is conjugacy and how does it relate to bayesian posterior updates?

Published on 01 Mar 2026 - 8:38

score 13 · Answer 15 · 2019-12-09 16:58:25

13

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$\sup_{\alpha}E_P[X_{\alpha} (T)]=Kf(\alpha^*) ?$

Published on 09 Dec 2019 - 16:58

List Question

Can you define Self-adjoint/Hermitian as essentially the same as normal but for real (non-complex) inner product spaces?

Projection of the unit normal to the graph of function

Range of rational functions in artificially defined domains

dual pairing and separation

Predicting the frequency of the individual, ranked words of a text

Continuous random events with exponential time

Infinite tensor products and representations of anticommutation relations by Guichardet, A.

Exponential Limits And Indeterminate Forms

Applying Playfair's axiom when the point lies on the given line

Is there an algorithm which mixes augmented Lagrangean and projected gradient?

Reference that explores calculating the continuous limiting distribution of a sequence of discrete random variables

Why is the domain of a lagrangian functional, of the form $\Omega\times\mathbb{R}^N\times\mathbb{R}^M$ instead of just $\Omega$?

A practical way to project large-scale vectors (of size millions) to 2d space

What is conjugacy and how does it relate to bayesian posterior updates?

$\sup_{\alpha}E_P[X_{\alpha} (T)]=Kf(\alpha^*) ?$

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