Subject
- Mathematics 71
- Computer Science 71
- Civil Engineering 64
- Geographic Information Systems (GIS) 48
- Building Construction Management 38
- Construction Engineering and Management 28
- Soil Science 4
- Agronomy 4
- Crop Science 4
- Physics 2
Creator
- Walter Gautschi, 0000-0001-9184-8899 69
- Darcy M. Bullock, 0000-0002-7365-1918 63
- Liuying Du 49
- Nikhil Sangwan 49
- Venkatesh Mohan Merwade, 0000-0001-5518-2890 49
- David Burford 39
- Michael Witt, 0000-0003-4221-7956 39
- Alexander M. Hainen 38
- Andrew Sydelko 36
- Wayne A. Bunnell 20
Type
- Dataset 203
Date
- 2016 203
Total is 203 Results
32-digit values of the first 100 recurrence coefficients for the weight function having an algebraic/logarithmic singularity with exponent a=1/2 and power b=3
10.4231/R7H70CSK
12/08/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^a*[log(1/x)]^b on [0,1], a=1/2, b=3
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2013.
10.4231/R71834GS
Megan Haas
,
Ronald F. Turco Jr.
,
Sara Peel
12/09/2016
Water quality data collected from the Lafayette area watershed in 2013. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.
Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed
Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2014.
10.4231/R7WH2N0H
Megan Haas
,
Ronald F. Turco
,
Sara Peel
12/09/2016
Water quality data collected from the Lafayette area watershed in 2014. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.
Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed
Biological, chemical and flow characteristics of five river sampling sites in the Wabash River watershed near Lafayette, Indiana – 2015.
10.4231/R7RR1W7B
Megan Haas
,
Ronald Turco
,
Sara Peel
12/09/2016
Water quality data collected from the Lafayette area watershed in 2015. There are five samples sites located on Little Pine Creek, Elliot Ditch, Little Wea Creek and two sites on the Wabash River.
Agronomy Algae Ammonia Crop Science Discharge Dissolved Oxygen Elliot Ditch Enterococci Escherichia coli Flow Forestry and Natural Resources Indiana Lafayette Little Pine Creek Little Wea Creek Orthophosphate pH Soil Science Specific Conductivity Temperature Total Coliforms Turbidity Wabash River Water Quality Watershed
32-digit values of the first 100 recurrence coefficients, obtained from moments, for a radiative transfer weight function with parameter c=2/3
10.4231/R7N014H9
12/08/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp(-1/x) on [0,c], c=2/3
Computer Science Gauss quadrature rules Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Fermi-Dirac-type weight function with exponent r=2
10.4231/R77S7KR9
12/09/2016
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=[1/(exp(x)+1)]^r on [0,Inf], r=2
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Fermi-Dirac-type weight function with exponent r=4
10.4231/R708639Z
12/09/2016
32-digit values of the first 100 recurrence coefficients for orthogonal polynomials relative to the weight function w(x)=[1/(exp(x)+1)]^r on [0,Inf], r=4
Computer Science Mathematics 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 exponents mu=0, nu=4
10.4231/R7416V2R
12/09/2016
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=4
Computer Science Freud weight function Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
32-digit values of the first 100 recurrence coefficients for the Schroedinger weight function with exponent mu=5
10.4231/R7QR4V3Z
12/09/2016
32-digit values of the first 100 recurrence coefficients for the weight function w(x)=x^mu*exp(-x^4/16) on [0,Inf], mu=5
Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Schroedinger weight function Walter Gautschi Archives weight functions
Generalized Hermite polynomials
10.4231/R79K4878
12/15/2016
Matlab routine for the first N recurrence coefficients of generalized Hermite polynomials
Computer Science Hermite polynomials Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions
Display #
Results 191 - 200 of 203