Subject
- Computer Science 64
- Mathematics 64
- Biomedical Engineering 8
- 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 7
- Michael Markl 5
- Susanne Schnell 5
- Vitaliy Rayz 5
- Benjamin Dickerhoff 4
- David Saloner 4
- Melissa Brindise 4
- Qianlai Zhuang, 0000-0002-4536-9851 4
- Sean Rothenberger, 0000-0003-1341-6147 4
Type
- Dataset 91
Date
Total is 91 Results
RMOP: Repeated modifications of orthogonal polynomials
10.4231/R7F18WNB
04/23/2014
Matlab routines and data sets that compute repeated modifications of orthogonal polynomials
Computer Science Gaussian quadrature Gaussian quadrature of functions having poles Jacobi polynomials Logarithmic weight functions Mathematics Matlab Modification algorithms for orthogonal polynomials Numerical integrations Orthogonal polynomials Software source code 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 the half-range Freud weight function with exponent 8
10.4231/R76D5R5W
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=8
Computer Science Freud weight function 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 half-range Freud weight function with exponent 10
10.4231/R72N50FJ
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=10
Computer Science Freud weight function 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 half-range Freud weight function with exponent 6
10.4231/R7B56GW6
10/23/2017
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^nu) on [0,Inf], mu=0, nu=6
Computer Science Freud weight function Mathematics Matlab Orthogonal polynomials Walter Gautschi Archives weight functions
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7V98675
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/25/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
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
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