File: Lanczos3EM.txt URL Reference: http://www.itl.nist.gov/div898/strd/nls/data/lanczos3.shtml Dataset Name: Lanczos3 (Lanczos3.dat) Description: These data are taken from an example discussed in Lanczos (1956). The data were generated to 5-digits of accuracy using f(x) = 0.0951*exp(-x) + 0.8607*exp(-3*x) + 1.5576*exp(-5*x). Reference: Lanczos, C. (1956). Applied Analysis. Englewood Cliffs, NJ: Prentice Hall, pp. 272-280. Data: y x 2.5134E+00 0.00000E+00 2.0443E+00 5.00000E-02 1.6684E+00 1.00000E-01 1.3664E+00 1.50000E-01 1.1232E+00 2.00000E-01 0.9269E+00 2.50000E-01 0.7679E+00 3.00000E-01 0.6389E+00 3.50000E-01 0.5338E+00 4.00000E-01 0.4479E+00 4.50000E-01 0.3776E+00 5.00000E-01 0.3197E+00 5.50000E-01 0.2720E+00 6.00000E-01 0.2325E+00 6.50000E-01 0.1997E+00 7.00000E-01 0.1723E+00 7.50000E-01 0.1493E+00 8.00000E-01 0.1301E+00 8.50000E-01 0.1138E+00 9.00000E-01 0.1000E+00 9.50000E-01 0.0883E+00 1.00000E+00 0.0783E+00 1.05000E+00 0.0698E+00 1.10000E+00 0.0624E+00 1.15000E+00 Mathematica Lists: xLst = { 0, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90, 0.95, 1.0, 1.05, 1.10, 1.15}; yLst = {2.5134, 2.0443, 1.6684, 1.3664, 1.1232, 0.92690, 0.76790, 0.63890, 0.53380, 0.44790, 0.37760, 0.31970, 0.27200, 0.23250, 0.19970, 0.17230, 0.14930, 0.13010, 0.11380, 0.10000, 0.088300, 0.078300, 0.069800, 0.062400}; Maple Lists: xLst := [ 0, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90, 0.95, 1.0, 1.05, 1.10, 1.15]: yLst := [2.5134, 2.0443, 1.6684, 1.3664, 1.1232, 0.92690, 0.76790, 0.63890, 0.53380, 0.44790, 0.37760, 0.31970, 0.27200, 0.23250, 0.19970, 0.17230, 0.14930, 0.13010, 0.11380, 0.10000, 0.088300, 0.078300, 0.069800, 0.062400]: MATLAB Row Vectors: xLst = [ 0, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50, 0.55, 0.60, 0.65, 0.70, 0.75, 0.80, 0.85, 0.90, 0.95, 1.0, 1.05, 1.10, 1.15]; yLst = [2.5134, 2.0443, 1.6684, 1.3664, 1.1232, 0.92690, 0.76790, 0.63890, 0.53380, 0.44790, 0.37760, 0.31970, 0.27200, 0.23250, 0.19970, 0.17230, 0.14930, 0.13010, 0.11380, 0.10000, 0.088300, 0.078300, 0.069800, 0.062400];