Datasets

subject: Mathematics date: 2017

Total is 128 Results
32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=1

10.4231/R7BK19B6

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=1

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 bimodal weight function with parameter ε=.02

10.4231/R7319SWH

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.02

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 bimodal weight function with parameter ε=.1

10.4231/R76T0JNX

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.1

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 bimodal weight function with parameter ε=.005

10.4231/R7Z899DM

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.005

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 bimodal weight function with parameter ε=.001

10.4231/R7TH8JPW

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.001

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

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