Subject
- Computer Science 64
- Mathematics 64
- Biomedical Engineering 9
- Agriculture 3
- Mechanical Engineering 3
- Earth and Atmospheric Sciences 2
- Aeronautics and Astronautics Engineering 1
- Nuclear Engineering 1
- Physics 1
Creator
- Walter Gautschi, 0000-0001-9184-8899 64
- Pavlos Vlachos, 0000-0002-8040-9257 8
- Michael Markl 6
- Susanne Schnell 6
- Vitaliy Rayz 6
- Benjamin Dickerhoff 5
- David Saloner 5
- Melissa Brindise 5
- Sean Rothenberger, 0000-0003-1341-6147 5
- Qianlai Zhuang, 0000-0002-4536-9851 4
Type
Date
Total is 92 Results
n-TARP Binary Clustering Code
10.4231/R74B2ZJV
Mireille Boutin
,
Yellamraju Tarun
05/07/2018
Binary clustering algorithm based on random projections
Clustering Electrical and Computer Engineering Matlab Random Projection
Combine Kart Truck GPS Data Archive
10.4231/4Z4S-M018
James Krogmeier
,
Yaguang Zhang
02/07/2019
GPS data for agricultural vehicles collected during wheat harvesting.
Activity Recognition Agriculture Digital Agriculture Electrical and Computer Engineering Field Shape GPS Harvest Matlab Traceability Wheat
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms
10.4231/M5F1-QC84
Benjamin Dickerhoff
,
David Saloner
,
Melissa Brindise
,
Michael Markl
,
Pavlos Vlachos
,
Sean Rothenberger
,
Susanne Schnell
,
Vitaliy Rayz
08/23/2019
Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
Data of global wetland methane emissions from artificial neural network modeling v1.0
10.4231/3YX4-EY30
01/21/2020
Source code of an ANN model, site level data, input data, output data and visualization results, which are presented in the manuscript "Inventorying Global Wetland Methane Emissions Based on In Situ Data and an Artificial Neural Network...
Artificial Neural Network (ANN) Atmospheric Chemistry Modeling Biogeochemistry Earth and Atmospheric Sciences Interactive Data Language (IDL) Machine Learning Matlab Methane Dynamics Model (MDM) Methane Emission
32-digit values of the first 100 recurrence coefficients for an upper subrange Binet weight function
10.4231/R7JD4TTZ
05/31/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [1,Inf]
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Binet weight function
10.4231/R7P55KH7
08/14/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-|x|)) on [-Inf,Inf]
Binet weight function Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
Loading variable-precision recurrence coefficients
10.4231/R7T151VZ
11/02/2017
Loading a text file of variable-precision recurrence coefficients into Matlab symbolic or double-precision arrays
Computer Science Jacobi weight functions Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives
32-digit values of the first 100 recurrence coefficients for an upper subrange Binet weight function
10.4231/R7JM27SS
08/14/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [c,Inf], c=1
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for a lower subrange Binet weight function
10.4231/R7T151TH
08/14/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [0,c], c=1
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for a lower subrange Binet weight function
10.4231/R7CN71XS
05/31/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=-log(1-exp(-x)) on [0,1]
Binet-like weight functions Computer Science Mathematics Matlab Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
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