EIGENVALUE
Eigenvalue was a seed stage fund managed by Shaun Abrahamson from 2007-2013 before Shaun co-founded Urban Us.
EIGENVALUE
Founded:
2007-01-01
Status:
Closed
Technology used in webpage:
Google Analytics Apache Google Analytics Classic Unified Layer CentOS Apache 2.2 BlueHost
Founder
Investments List
| Date | Company | Article | Money raised |
|---|---|---|---|
| 2021-04-22 | Flair | Eigenvalue investment in Funding Round - Flair | 2.08 M USD |
| 2013-07-16 | Soma | Eigenvalue investment in Seed Round - Soma | 3.7 M USD |
| 2013-03-09 | Tonx | Eigenvalue investment in Seed Round - Tonx | N/A |
| 2012-11-15 | Modria | Eigenvalue investment in Seed Round - Modria | 1.25 M USD |
| 2012-03-01 | Workana | Eigenvalue investment in Seed Round - Workana | 1.1 M USD |
| 2010-02-13 | Refinery29 | Eigenvalue investment in Seed Round - Refinery29 | 500 K USD |
| 2008-08-18 | Zocdoc | Eigenvalue investment in Series A - Zocdoc | 3 M USD |
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Eigenvalues and eigenvectors are a new way to see into the heart of a matrix. To explain eigenvalues, we first explain eigenvectors. Almost all vectors will change direction, when they …See details»
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This section introduces the concept of eigenvalues and eigenvectors and offers an example that motivates our interest in them. The point here is to develop an intuitive understanding …See details»
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Sep 17, 2022 Key Idea 4.1.1: Finding Eigenvalues and Eigenvectors Let A be an n × n matrix. To find the eigenvalues of A, compute p(λ), the characteristic polynomial of A, set it equal to 0, …See details»
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Theorem 1: The eigenvalues of a triangular matrix are the entries on its main diagonal. be −λ(λ − 3)(λ − 2). Each of the factors λ, λ − 3, and λ − 2 appeared precisSee details»
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A Beginner's Guide to Eigenvectors, Eigenvalues, PCA, Covariance and Entropy Contents Linear Transformations Principal Component Analysis (PCA) Covariance Matrix Change of Basis …See details»
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Sep 29, 2022 After reading this chapter, you should be able to: define eigenvalues and eigenvectors of a square matrix, find eigenvalues and eigenvectors of a square matrix, relate …See details»
How to intuitively understand eigenvalue and eigenvector?
I think eigenvalue product corresponding eigenvector has same effect as the matrix product eigenvector geometrically. I think my former understanding may be too naive so that I cannot …See details»
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1 day ago The eigenvalues in the Zakharov-Shabat problem for the nonlinear Schrödinger equation are invariant quantities with respect to the transmission distance. Therefore, optical …See details»