Rank: 1827 based on 76 downloads (last 30 days) and 2 files submitted
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Paul Constantine

E-mail
Company/University
Colorado School of Mines
Lat/Long
39.7469, 105.2108

Personal Profile:

inside.mines.edu/~pconstan

Professional Interests:
uncertainty quantification, dimension reduction, reduced order modeling

 

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Files Posted by Paul View all
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(last 30 days)
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26 Apr 2012 Screenshot Random Field Simulation Generate multivariate conditional random fields given a mesh and covariance information. Author: Paul Constantine gaussian process, conditional random fi..., kriging, stochastic process, karhunenloeve, operable 54 2
  • 5.0
5.0 | 3 ratings
01 Nov 2010 Screenshot PMPack - Parameterized Matrix Package Polynomial spectral methods for solving parameterized matrix equations. Author: Paul Constantine spectral methods, polynomial chaos, stochastic galerkin, stochastic collocatio..., uncertainty quantific..., parameterized matrix ... 22 2
  • 4.5
4.5 | 2 ratings
Comments and Ratings by Paul
Updated File Comments Rating
26 Apr 2012 Random Field Simulation Generate multivariate conditional random fields given a mesh and covariance information. Author: Paul Constantine

Just fixed a few bugs. It should respect the data points now.

Comments and Ratings on Paul's Files View all
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05 Nov 2013 Random Field Simulation Generate multivariate conditional random fields given a mesh and covariance information. Author: Paul Constantine Debabi, nacim

nice trick

05 Sep 2013 PMPack - Parameterized Matrix Package Polynomial spectral methods for solving parameterized matrix equations. Author: Paul Constantine Marinkov, Sava

Ok, from the code I understood that the computed polynomials (Legendre, Chebyshev, Jacobi etc.) are in fact orthonormal and not only orthogonal w.r.t. a certain weight.

So were the legendre polynomials constructed using the uniform weight of 0.5 and chebyshev with 1/pi*(1-x^2)^-0.5? How can we extract the resulting polynomial coefficients?

05 Sep 2013 PMPack - Parameterized Matrix Package Polynomial spectral methods for solving parameterized matrix equations. Author: Paul Constantine Marinkov, Sava

The Legendre polynomials should assume fixed values at the points x = -1 and x = 1. However, when I plot them using the evaluate_expansion function I see that this is not the case. Is this a bug?

26 Apr 2012 Random Field Simulation Generate multivariate conditional random fields given a mesh and covariance information. Author: Paul Constantine Constantine, Paul

Just fixed a few bugs. It should respect the data points now.

12 Apr 2012 Random Field Simulation Generate multivariate conditional random fields given a mesh and covariance information. Author: Paul Constantine Songhun

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