Return-Path: X-Original-To: apmail-commons-commits-archive@minotaur.apache.org Delivered-To: apmail-commons-commits-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id E1BEEC8C4 for ; Sat, 12 May 2012 12:55:21 +0000 (UTC) Received: (qmail 86869 invoked by uid 500); 12 May 2012 12:55:21 -0000 Delivered-To: apmail-commons-commits-archive@commons.apache.org Received: (qmail 86794 invoked by uid 500); 12 May 2012 12:55:20 -0000 Mailing-List: contact commits-help@commons.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@commons.apache.org Delivered-To: mailing list commits@commons.apache.org Received: (qmail 86776 invoked by uid 99); 12 May 2012 12:55:20 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Sat, 12 May 2012 12:55:20 +0000 X-ASF-Spam-Status: No, hits=-2000.0 required=5.0 tests=ALL_TRUSTED X-Spam-Check-By: apache.org Received: from [140.211.11.4] (HELO eris.apache.org) (140.211.11.4) by apache.org (qpsmtpd/0.29) with ESMTP; Sat, 12 May 2012 12:55:12 +0000 Received: from eris.apache.org (localhost [127.0.0.1]) by eris.apache.org (Postfix) with ESMTP id 08D032388978 for ; Sat, 12 May 2012 12:54:50 +0000 (UTC) Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Subject: svn commit: r1337527 - in /commons/proper/math/trunk/src/test/resources/org/apache/commons/math3: linear/ optimization/general/ random/ Date: Sat, 12 May 2012 12:54:49 -0000 To: commits@commons.apache.org From: luc@apache.org X-Mailer: svnmailer-1.0.8-patched Message-Id: <20120512125450.08D032388978@eris.apache.org> Author: luc Date: Sat May 12 12:54:49 2012 New Revision: 1337527 URL: http://svn.apache.org/viewvc?rev=1337527&view=rev Log: added missing subversion properties in test resource files Modified: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix1.csv (props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix2.csv (props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat (contents, props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat (contents, props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat (contents, props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat (contents, props changed) commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/random/emptyFile.txt (props changed) Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix1.csv ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix1.csv ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix2.csv ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/linear/matrix2.csv ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Modified: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat?rev=1337527&r1=1337526&r2=1337527&view=diff ============================================================================== --- commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat (original) +++ commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat Sat May 12 12:54:49 2012 @@ -1,296 +1,296 @@ -NIST/ITL StRD -Dataset Name: Hahn1 (Hahn1.dat) - -File Format: ASCII - Starting Values (lines 41 to 47) - Certified Values (lines 41 to 52) - Data (lines 61 to 296) - -Procedure: Nonlinear Least Squares Regression - -Description: These data are the result of a NIST study involving - the thermal expansion of copper. The response - variable is the coefficient of thermal expansion, and - the predictor variable is temperature in degrees - kelvin. - - -Reference: Hahn, T., NIST (197?). - Copper Thermal Expansion Study. - - - - - -Data: 1 Response (y = coefficient of thermal expansion) - 1 Predictor (x = temperature, degrees kelvin) - 236 Observations - Average Level of Difficulty - Observed Data - -Model: Rational Class (cubic/cubic) - 7 Parameters (b1 to b7) - - y = (b1+b2*x+b3*x**2+b4*x**3) / - (1+b5*x+b6*x**2+b7*x**3) + e - - - Starting values Certified Values - - Start 1 Start 2 Parameter Standard Deviation - b1 = 10 1 1.0776351733E+00 1.7070154742E-01 - b2 = -1 -0.1 -1.2269296921E-01 1.2000289189E-02 - b3 = 0.05 0.005 4.0863750610E-03 2.2508314937E-04 - b4 = -0.00001 -0.000001 -1.4262662514E-06 2.7578037666E-07 - b5 = -0.05 -0.005 -5.7609940901E-03 2.4712888219E-04 - b6 = 0.001 0.0001 2.4053735503E-04 1.0449373768E-05 - b7 = -0.000001 -0.0000001 -1.2314450199E-07 1.3027335327E-08 - -Residual Sum of Squares: 1.5324382854E+00 -Residual Standard Deviation: 8.1803852243E-02 -Degrees of Freedom: 229 -Number of Observations: 236 - - - - - - - -Data: y x - .591E0 24.41E0 - 1.547E0 34.82E0 - 2.902E0 44.09E0 - 2.894E0 45.07E0 - 4.703E0 54.98E0 - 6.307E0 65.51E0 - 7.03E0 70.53E0 - 7.898E0 75.70E0 - 9.470E0 89.57E0 - 9.484E0 91.14E0 - 10.072E0 96.40E0 - 10.163E0 97.19E0 - 11.615E0 114.26E0 - 12.005E0 120.25E0 - 12.478E0 127.08E0 - 12.982E0 133.55E0 - 12.970E0 133.61E0 - 13.926E0 158.67E0 - 14.452E0 172.74E0 - 14.404E0 171.31E0 - 15.190E0 202.14E0 - 15.550E0 220.55E0 - 15.528E0 221.05E0 - 15.499E0 221.39E0 - 16.131E0 250.99E0 - 16.438E0 268.99E0 - 16.387E0 271.80E0 - 16.549E0 271.97E0 - 16.872E0 321.31E0 - 16.830E0 321.69E0 - 16.926E0 330.14E0 - 16.907E0 333.03E0 - 16.966E0 333.47E0 - 17.060E0 340.77E0 - 17.122E0 345.65E0 - 17.311E0 373.11E0 - 17.355E0 373.79E0 - 17.668E0 411.82E0 - 17.767E0 419.51E0 - 17.803E0 421.59E0 - 17.765E0 422.02E0 - 17.768E0 422.47E0 - 17.736E0 422.61E0 - 17.858E0 441.75E0 - 17.877E0 447.41E0 - 17.912E0 448.7E0 - 18.046E0 472.89E0 - 18.085E0 476.69E0 - 18.291E0 522.47E0 - 18.357E0 522.62E0 - 18.426E0 524.43E0 - 18.584E0 546.75E0 - 18.610E0 549.53E0 - 18.870E0 575.29E0 - 18.795E0 576.00E0 - 19.111E0 625.55E0 - .367E0 20.15E0 - .796E0 28.78E0 - 0.892E0 29.57E0 - 1.903E0 37.41E0 - 2.150E0 39.12E0 - 3.697E0 50.24E0 - 5.870E0 61.38E0 - 6.421E0 66.25E0 - 7.422E0 73.42E0 - 9.944E0 95.52E0 - 11.023E0 107.32E0 - 11.87E0 122.04E0 - 12.786E0 134.03E0 - 14.067E0 163.19E0 - 13.974E0 163.48E0 - 14.462E0 175.70E0 - 14.464E0 179.86E0 - 15.381E0 211.27E0 - 15.483E0 217.78E0 - 15.59E0 219.14E0 - 16.075E0 262.52E0 - 16.347E0 268.01E0 - 16.181E0 268.62E0 - 16.915E0 336.25E0 - 17.003E0 337.23E0 - 16.978E0 339.33E0 - 17.756E0 427.38E0 - 17.808E0 428.58E0 - 17.868E0 432.68E0 - 18.481E0 528.99E0 - 18.486E0 531.08E0 - 19.090E0 628.34E0 - 16.062E0 253.24E0 - 16.337E0 273.13E0 - 16.345E0 273.66E0 - 16.388E0 282.10E0 - 17.159E0 346.62E0 - 17.116E0 347.19E0 - 17.164E0 348.78E0 - 17.123E0 351.18E0 - 17.979E0 450.10E0 - 17.974E0 450.35E0 - 18.007E0 451.92E0 - 17.993E0 455.56E0 - 18.523E0 552.22E0 - 18.669E0 553.56E0 - 18.617E0 555.74E0 - 19.371E0 652.59E0 - 19.330E0 656.20E0 - 0.080E0 14.13E0 - 0.248E0 20.41E0 - 1.089E0 31.30E0 - 1.418E0 33.84E0 - 2.278E0 39.70E0 - 3.624E0 48.83E0 - 4.574E0 54.50E0 - 5.556E0 60.41E0 - 7.267E0 72.77E0 - 7.695E0 75.25E0 - 9.136E0 86.84E0 - 9.959E0 94.88E0 - 9.957E0 96.40E0 - 11.600E0 117.37E0 - 13.138E0 139.08E0 - 13.564E0 147.73E0 - 13.871E0 158.63E0 - 13.994E0 161.84E0 - 14.947E0 192.11E0 - 15.473E0 206.76E0 - 15.379E0 209.07E0 - 15.455E0 213.32E0 - 15.908E0 226.44E0 - 16.114E0 237.12E0 - 17.071E0 330.90E0 - 17.135E0 358.72E0 - 17.282E0 370.77E0 - 17.368E0 372.72E0 - 17.483E0 396.24E0 - 17.764E0 416.59E0 - 18.185E0 484.02E0 - 18.271E0 495.47E0 - 18.236E0 514.78E0 - 18.237E0 515.65E0 - 18.523E0 519.47E0 - 18.627E0 544.47E0 - 18.665E0 560.11E0 - 19.086E0 620.77E0 - 0.214E0 18.97E0 - 0.943E0 28.93E0 - 1.429E0 33.91E0 - 2.241E0 40.03E0 - 2.951E0 44.66E0 - 3.782E0 49.87E0 - 4.757E0 55.16E0 - 5.602E0 60.90E0 - 7.169E0 72.08E0 - 8.920E0 85.15E0 - 10.055E0 97.06E0 - 12.035E0 119.63E0 - 12.861E0 133.27E0 - 13.436E0 143.84E0 - 14.167E0 161.91E0 - 14.755E0 180.67E0 - 15.168E0 198.44E0 - 15.651E0 226.86E0 - 15.746E0 229.65E0 - 16.216E0 258.27E0 - 16.445E0 273.77E0 - 16.965E0 339.15E0 - 17.121E0 350.13E0 - 17.206E0 362.75E0 - 17.250E0 371.03E0 - 17.339E0 393.32E0 - 17.793E0 448.53E0 - 18.123E0 473.78E0 - 18.49E0 511.12E0 - 18.566E0 524.70E0 - 18.645E0 548.75E0 - 18.706E0 551.64E0 - 18.924E0 574.02E0 - 19.1E0 623.86E0 - 0.375E0 21.46E0 - 0.471E0 24.33E0 - 1.504E0 33.43E0 - 2.204E0 39.22E0 - 2.813E0 44.18E0 - 4.765E0 55.02E0 - 9.835E0 94.33E0 - 10.040E0 96.44E0 - 11.946E0 118.82E0 - 12.596E0 128.48E0 - 13.303E0 141.94E0 - 13.922E0 156.92E0 - 14.440E0 171.65E0 - 14.951E0 190.00E0 - 15.627E0 223.26E0 - 15.639E0 223.88E0 - 15.814E0 231.50E0 - 16.315E0 265.05E0 - 16.334E0 269.44E0 - 16.430E0 271.78E0 - 16.423E0 273.46E0 - 17.024E0 334.61E0 - 17.009E0 339.79E0 - 17.165E0 349.52E0 - 17.134E0 358.18E0 - 17.349E0 377.98E0 - 17.576E0 394.77E0 - 17.848E0 429.66E0 - 18.090E0 468.22E0 - 18.276E0 487.27E0 - 18.404E0 519.54E0 - 18.519E0 523.03E0 - 19.133E0 612.99E0 - 19.074E0 638.59E0 - 19.239E0 641.36E0 - 19.280E0 622.05E0 - 19.101E0 631.50E0 - 19.398E0 663.97E0 - 19.252E0 646.9E0 - 19.89E0 748.29E0 - 20.007E0 749.21E0 - 19.929E0 750.14E0 - 19.268E0 647.04E0 - 19.324E0 646.89E0 - 20.049E0 746.9E0 - 20.107E0 748.43E0 - 20.062E0 747.35E0 - 20.065E0 749.27E0 - 19.286E0 647.61E0 - 19.972E0 747.78E0 - 20.088E0 750.51E0 - 20.743E0 851.37E0 - 20.83E0 845.97E0 - 20.935E0 847.54E0 - 21.035E0 849.93E0 - 20.93E0 851.61E0 - 21.074E0 849.75E0 - 21.085E0 850.98E0 - 20.935E0 848.23E0 +NIST/ITL StRD +Dataset Name: Hahn1 (Hahn1.dat) + +File Format: ASCII + Starting Values (lines 41 to 47) + Certified Values (lines 41 to 52) + Data (lines 61 to 296) + +Procedure: Nonlinear Least Squares Regression + +Description: These data are the result of a NIST study involving + the thermal expansion of copper. The response + variable is the coefficient of thermal expansion, and + the predictor variable is temperature in degrees + kelvin. + + +Reference: Hahn, T., NIST (197?). + Copper Thermal Expansion Study. + + + + + +Data: 1 Response (y = coefficient of thermal expansion) + 1 Predictor (x = temperature, degrees kelvin) + 236 Observations + Average Level of Difficulty + Observed Data + +Model: Rational Class (cubic/cubic) + 7 Parameters (b1 to b7) + + y = (b1+b2*x+b3*x**2+b4*x**3) / + (1+b5*x+b6*x**2+b7*x**3) + e + + + Starting values Certified Values + + Start 1 Start 2 Parameter Standard Deviation + b1 = 10 1 1.0776351733E+00 1.7070154742E-01 + b2 = -1 -0.1 -1.2269296921E-01 1.2000289189E-02 + b3 = 0.05 0.005 4.0863750610E-03 2.2508314937E-04 + b4 = -0.00001 -0.000001 -1.4262662514E-06 2.7578037666E-07 + b5 = -0.05 -0.005 -5.7609940901E-03 2.4712888219E-04 + b6 = 0.001 0.0001 2.4053735503E-04 1.0449373768E-05 + b7 = -0.000001 -0.0000001 -1.2314450199E-07 1.3027335327E-08 + +Residual Sum of Squares: 1.5324382854E+00 +Residual Standard Deviation: 8.1803852243E-02 +Degrees of Freedom: 229 +Number of Observations: 236 + + + + + + + +Data: y x + .591E0 24.41E0 + 1.547E0 34.82E0 + 2.902E0 44.09E0 + 2.894E0 45.07E0 + 4.703E0 54.98E0 + 6.307E0 65.51E0 + 7.03E0 70.53E0 + 7.898E0 75.70E0 + 9.470E0 89.57E0 + 9.484E0 91.14E0 + 10.072E0 96.40E0 + 10.163E0 97.19E0 + 11.615E0 114.26E0 + 12.005E0 120.25E0 + 12.478E0 127.08E0 + 12.982E0 133.55E0 + 12.970E0 133.61E0 + 13.926E0 158.67E0 + 14.452E0 172.74E0 + 14.404E0 171.31E0 + 15.190E0 202.14E0 + 15.550E0 220.55E0 + 15.528E0 221.05E0 + 15.499E0 221.39E0 + 16.131E0 250.99E0 + 16.438E0 268.99E0 + 16.387E0 271.80E0 + 16.549E0 271.97E0 + 16.872E0 321.31E0 + 16.830E0 321.69E0 + 16.926E0 330.14E0 + 16.907E0 333.03E0 + 16.966E0 333.47E0 + 17.060E0 340.77E0 + 17.122E0 345.65E0 + 17.311E0 373.11E0 + 17.355E0 373.79E0 + 17.668E0 411.82E0 + 17.767E0 419.51E0 + 17.803E0 421.59E0 + 17.765E0 422.02E0 + 17.768E0 422.47E0 + 17.736E0 422.61E0 + 17.858E0 441.75E0 + 17.877E0 447.41E0 + 17.912E0 448.7E0 + 18.046E0 472.89E0 + 18.085E0 476.69E0 + 18.291E0 522.47E0 + 18.357E0 522.62E0 + 18.426E0 524.43E0 + 18.584E0 546.75E0 + 18.610E0 549.53E0 + 18.870E0 575.29E0 + 18.795E0 576.00E0 + 19.111E0 625.55E0 + .367E0 20.15E0 + .796E0 28.78E0 + 0.892E0 29.57E0 + 1.903E0 37.41E0 + 2.150E0 39.12E0 + 3.697E0 50.24E0 + 5.870E0 61.38E0 + 6.421E0 66.25E0 + 7.422E0 73.42E0 + 9.944E0 95.52E0 + 11.023E0 107.32E0 + 11.87E0 122.04E0 + 12.786E0 134.03E0 + 14.067E0 163.19E0 + 13.974E0 163.48E0 + 14.462E0 175.70E0 + 14.464E0 179.86E0 + 15.381E0 211.27E0 + 15.483E0 217.78E0 + 15.59E0 219.14E0 + 16.075E0 262.52E0 + 16.347E0 268.01E0 + 16.181E0 268.62E0 + 16.915E0 336.25E0 + 17.003E0 337.23E0 + 16.978E0 339.33E0 + 17.756E0 427.38E0 + 17.808E0 428.58E0 + 17.868E0 432.68E0 + 18.481E0 528.99E0 + 18.486E0 531.08E0 + 19.090E0 628.34E0 + 16.062E0 253.24E0 + 16.337E0 273.13E0 + 16.345E0 273.66E0 + 16.388E0 282.10E0 + 17.159E0 346.62E0 + 17.116E0 347.19E0 + 17.164E0 348.78E0 + 17.123E0 351.18E0 + 17.979E0 450.10E0 + 17.974E0 450.35E0 + 18.007E0 451.92E0 + 17.993E0 455.56E0 + 18.523E0 552.22E0 + 18.669E0 553.56E0 + 18.617E0 555.74E0 + 19.371E0 652.59E0 + 19.330E0 656.20E0 + 0.080E0 14.13E0 + 0.248E0 20.41E0 + 1.089E0 31.30E0 + 1.418E0 33.84E0 + 2.278E0 39.70E0 + 3.624E0 48.83E0 + 4.574E0 54.50E0 + 5.556E0 60.41E0 + 7.267E0 72.77E0 + 7.695E0 75.25E0 + 9.136E0 86.84E0 + 9.959E0 94.88E0 + 9.957E0 96.40E0 + 11.600E0 117.37E0 + 13.138E0 139.08E0 + 13.564E0 147.73E0 + 13.871E0 158.63E0 + 13.994E0 161.84E0 + 14.947E0 192.11E0 + 15.473E0 206.76E0 + 15.379E0 209.07E0 + 15.455E0 213.32E0 + 15.908E0 226.44E0 + 16.114E0 237.12E0 + 17.071E0 330.90E0 + 17.135E0 358.72E0 + 17.282E0 370.77E0 + 17.368E0 372.72E0 + 17.483E0 396.24E0 + 17.764E0 416.59E0 + 18.185E0 484.02E0 + 18.271E0 495.47E0 + 18.236E0 514.78E0 + 18.237E0 515.65E0 + 18.523E0 519.47E0 + 18.627E0 544.47E0 + 18.665E0 560.11E0 + 19.086E0 620.77E0 + 0.214E0 18.97E0 + 0.943E0 28.93E0 + 1.429E0 33.91E0 + 2.241E0 40.03E0 + 2.951E0 44.66E0 + 3.782E0 49.87E0 + 4.757E0 55.16E0 + 5.602E0 60.90E0 + 7.169E0 72.08E0 + 8.920E0 85.15E0 + 10.055E0 97.06E0 + 12.035E0 119.63E0 + 12.861E0 133.27E0 + 13.436E0 143.84E0 + 14.167E0 161.91E0 + 14.755E0 180.67E0 + 15.168E0 198.44E0 + 15.651E0 226.86E0 + 15.746E0 229.65E0 + 16.216E0 258.27E0 + 16.445E0 273.77E0 + 16.965E0 339.15E0 + 17.121E0 350.13E0 + 17.206E0 362.75E0 + 17.250E0 371.03E0 + 17.339E0 393.32E0 + 17.793E0 448.53E0 + 18.123E0 473.78E0 + 18.49E0 511.12E0 + 18.566E0 524.70E0 + 18.645E0 548.75E0 + 18.706E0 551.64E0 + 18.924E0 574.02E0 + 19.1E0 623.86E0 + 0.375E0 21.46E0 + 0.471E0 24.33E0 + 1.504E0 33.43E0 + 2.204E0 39.22E0 + 2.813E0 44.18E0 + 4.765E0 55.02E0 + 9.835E0 94.33E0 + 10.040E0 96.44E0 + 11.946E0 118.82E0 + 12.596E0 128.48E0 + 13.303E0 141.94E0 + 13.922E0 156.92E0 + 14.440E0 171.65E0 + 14.951E0 190.00E0 + 15.627E0 223.26E0 + 15.639E0 223.88E0 + 15.814E0 231.50E0 + 16.315E0 265.05E0 + 16.334E0 269.44E0 + 16.430E0 271.78E0 + 16.423E0 273.46E0 + 17.024E0 334.61E0 + 17.009E0 339.79E0 + 17.165E0 349.52E0 + 17.134E0 358.18E0 + 17.349E0 377.98E0 + 17.576E0 394.77E0 + 17.848E0 429.66E0 + 18.090E0 468.22E0 + 18.276E0 487.27E0 + 18.404E0 519.54E0 + 18.519E0 523.03E0 + 19.133E0 612.99E0 + 19.074E0 638.59E0 + 19.239E0 641.36E0 + 19.280E0 622.05E0 + 19.101E0 631.50E0 + 19.398E0 663.97E0 + 19.252E0 646.9E0 + 19.89E0 748.29E0 + 20.007E0 749.21E0 + 19.929E0 750.14E0 + 19.268E0 647.04E0 + 19.324E0 646.89E0 + 20.049E0 746.9E0 + 20.107E0 748.43E0 + 20.062E0 747.35E0 + 20.065E0 749.27E0 + 19.286E0 647.61E0 + 19.972E0 747.78E0 + 20.088E0 750.51E0 + 20.743E0 851.37E0 + 20.83E0 845.97E0 + 20.935E0 847.54E0 + 21.035E0 849.93E0 + 20.93E0 851.61E0 + 21.074E0 849.75E0 + 21.085E0 850.98E0 + 20.935E0 848.23E0 Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Hahn1.dat ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Modified: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat?rev=1337527&r1=1337526&r2=1337527&view=diff ============================================================================== --- commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat (original) +++ commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat Sat May 12 12:54:49 2012 @@ -1,211 +1,211 @@ -NIST/ITL StRD -Dataset Name: Kirby2 (Kirby2.dat) - -File Format: ASCII - Starting Values (lines 41 to 45) - Certified Values (lines 41 to 50) - Data (lines 61 to 211) - -Procedure: Nonlinear Least Squares Regression - -Description: These data are the result of a NIST study involving - scanning electron microscope line with standards. - - -Reference: Kirby, R., NIST (197?). - Scanning electron microscope line width standards. - - - - - - - - -Data: 1 Response (y) - 1 Predictor (x) - 151 Observations - Average Level of Difficulty - Observed Data - -Model: Rational Class (quadratic/quadratic) - 5 Parameters (b1 to b5) - - y = (b1 + b2*x + b3*x**2) / - (1 + b4*x + b5*x**2) + e - - - Starting values Certified Values - - Start 1 Start 2 Parameter Standard Deviation - b1 = 2 1.5 1.6745063063E+00 8.7989634338E-02 - b2 = -0.1 -0.15 -1.3927397867E-01 4.1182041386E-03 - b3 = 0.003 0.0025 2.5961181191E-03 4.1856520458E-05 - b4 = -0.001 -0.0015 -1.7241811870E-03 5.8931897355E-05 - b5 = 0.00001 0.00002 2.1664802578E-05 2.0129761919E-07 - -Residual Sum of Squares: 3.9050739624E+00 -Residual Standard Deviation: 1.6354535131E-01 -Degrees of Freedom: 146 -Number of Observations: 151 - - - - - - - - - -Data: y x - 0.0082E0 9.65E0 - 0.0112E0 10.74E0 - 0.0149E0 11.81E0 - 0.0198E0 12.88E0 - 0.0248E0 14.06E0 - 0.0324E0 15.28E0 - 0.0420E0 16.63E0 - 0.0549E0 18.19E0 - 0.0719E0 19.88E0 - 0.0963E0 21.84E0 - 0.1291E0 24.00E0 - 0.1710E0 26.25E0 - 0.2314E0 28.86E0 - 0.3227E0 31.85E0 - 0.4809E0 35.79E0 - 0.7084E0 40.18E0 - 1.0220E0 44.74E0 - 1.4580E0 49.53E0 - 1.9520E0 53.94E0 - 2.5410E0 58.29E0 - 3.2230E0 62.63E0 - 3.9990E0 67.03E0 - 4.8520E0 71.25E0 - 5.7320E0 75.22E0 - 6.7270E0 79.33E0 - 7.8350E0 83.56E0 - 9.0250E0 87.75E0 - 10.2670E0 91.93E0 - 11.5780E0 96.10E0 - 12.9440E0 100.28E0 - 14.3770E0 104.46E0 - 15.8560E0 108.66E0 - 17.3310E0 112.71E0 - 18.8850E0 116.88E0 - 20.5750E0 121.33E0 - 22.3200E0 125.79E0 - 22.3030E0 125.79E0 - 23.4600E0 128.74E0 - 24.0600E0 130.27E0 - 25.2720E0 133.33E0 - 25.8530E0 134.79E0 - 27.1100E0 137.93E0 - 27.6580E0 139.33E0 - 28.9240E0 142.46E0 - 29.5110E0 143.90E0 - 30.7100E0 146.91E0 - 31.3500E0 148.51E0 - 32.5200E0 151.41E0 - 33.2300E0 153.17E0 - 34.3300E0 155.97E0 - 35.0600E0 157.76E0 - 36.1700E0 160.56E0 - 36.8400E0 162.30E0 - 38.0100E0 165.21E0 - 38.6700E0 166.90E0 - 39.8700E0 169.92E0 - 40.0300E0 170.32E0 - 40.5000E0 171.54E0 - 41.3700E0 173.79E0 - 41.6700E0 174.57E0 - 42.3100E0 176.25E0 - 42.7300E0 177.34E0 - 43.4600E0 179.19E0 - 44.1400E0 181.02E0 - 44.5500E0 182.08E0 - 45.2200E0 183.88E0 - 45.9200E0 185.75E0 - 46.3000E0 186.80E0 - 47.0000E0 188.63E0 - 47.6800E0 190.45E0 - 48.0600E0 191.48E0 - 48.7400E0 193.35E0 - 49.4100E0 195.22E0 - 49.7600E0 196.23E0 - 50.4300E0 198.05E0 - 51.1100E0 199.97E0 - 51.5000E0 201.06E0 - 52.1200E0 202.83E0 - 52.7600E0 204.69E0 - 53.1800E0 205.86E0 - 53.7800E0 207.58E0 - 54.4600E0 209.50E0 - 54.8300E0 210.65E0 - 55.4000E0 212.33E0 - 56.4300E0 215.43E0 - 57.0300E0 217.16E0 - 58.0000E0 220.21E0 - 58.6100E0 221.98E0 - 59.5800E0 225.06E0 - 60.1100E0 226.79E0 - 61.1000E0 229.92E0 - 61.6500E0 231.69E0 - 62.5900E0 234.77E0 - 63.1200E0 236.60E0 - 64.0300E0 239.63E0 - 64.6200E0 241.50E0 - 65.4900E0 244.48E0 - 66.0300E0 246.40E0 - 66.8900E0 249.35E0 - 67.4200E0 251.32E0 - 68.2300E0 254.22E0 - 68.7700E0 256.24E0 - 69.5900E0 259.11E0 - 70.1100E0 261.18E0 - 70.8600E0 264.02E0 - 71.4300E0 266.13E0 - 72.1600E0 268.94E0 - 72.7000E0 271.09E0 - 73.4000E0 273.87E0 - 73.9300E0 276.08E0 - 74.6000E0 278.83E0 - 75.1600E0 281.08E0 - 75.8200E0 283.81E0 - 76.3400E0 286.11E0 - 76.9800E0 288.81E0 - 77.4800E0 291.08E0 - 78.0800E0 293.75E0 - 78.6000E0 295.99E0 - 79.1700E0 298.64E0 - 79.6200E0 300.84E0 - 79.8800E0 302.02E0 - 80.1900E0 303.48E0 - 80.6600E0 305.65E0 - 81.2200E0 308.27E0 - 81.6600E0 310.41E0 - 82.1600E0 313.01E0 - 82.5900E0 315.12E0 - 83.1400E0 317.71E0 - 83.5000E0 319.79E0 - 84.0000E0 322.36E0 - 84.4000E0 324.42E0 - 84.8900E0 326.98E0 - 85.2600E0 329.01E0 - 85.7400E0 331.56E0 - 86.0700E0 333.56E0 - 86.5400E0 336.10E0 - 86.8900E0 338.08E0 - 87.3200E0 340.60E0 - 87.6500E0 342.57E0 - 88.1000E0 345.08E0 - 88.4300E0 347.02E0 - 88.8300E0 349.52E0 - 89.1200E0 351.44E0 - 89.5400E0 353.93E0 - 89.8500E0 355.83E0 - 90.2500E0 358.32E0 - 90.5500E0 360.20E0 - 90.9300E0 362.67E0 - 91.2000E0 364.53E0 - 91.5500E0 367.00E0 - 92.2000E0 371.30E0 +NIST/ITL StRD +Dataset Name: Kirby2 (Kirby2.dat) + +File Format: ASCII + Starting Values (lines 41 to 45) + Certified Values (lines 41 to 50) + Data (lines 61 to 211) + +Procedure: Nonlinear Least Squares Regression + +Description: These data are the result of a NIST study involving + scanning electron microscope line with standards. + + +Reference: Kirby, R., NIST (197?). + Scanning electron microscope line width standards. + + + + + + + + +Data: 1 Response (y) + 1 Predictor (x) + 151 Observations + Average Level of Difficulty + Observed Data + +Model: Rational Class (quadratic/quadratic) + 5 Parameters (b1 to b5) + + y = (b1 + b2*x + b3*x**2) / + (1 + b4*x + b5*x**2) + e + + + Starting values Certified Values + + Start 1 Start 2 Parameter Standard Deviation + b1 = 2 1.5 1.6745063063E+00 8.7989634338E-02 + b2 = -0.1 -0.15 -1.3927397867E-01 4.1182041386E-03 + b3 = 0.003 0.0025 2.5961181191E-03 4.1856520458E-05 + b4 = -0.001 -0.0015 -1.7241811870E-03 5.8931897355E-05 + b5 = 0.00001 0.00002 2.1664802578E-05 2.0129761919E-07 + +Residual Sum of Squares: 3.9050739624E+00 +Residual Standard Deviation: 1.6354535131E-01 +Degrees of Freedom: 146 +Number of Observations: 151 + + + + + + + + + +Data: y x + 0.0082E0 9.65E0 + 0.0112E0 10.74E0 + 0.0149E0 11.81E0 + 0.0198E0 12.88E0 + 0.0248E0 14.06E0 + 0.0324E0 15.28E0 + 0.0420E0 16.63E0 + 0.0549E0 18.19E0 + 0.0719E0 19.88E0 + 0.0963E0 21.84E0 + 0.1291E0 24.00E0 + 0.1710E0 26.25E0 + 0.2314E0 28.86E0 + 0.3227E0 31.85E0 + 0.4809E0 35.79E0 + 0.7084E0 40.18E0 + 1.0220E0 44.74E0 + 1.4580E0 49.53E0 + 1.9520E0 53.94E0 + 2.5410E0 58.29E0 + 3.2230E0 62.63E0 + 3.9990E0 67.03E0 + 4.8520E0 71.25E0 + 5.7320E0 75.22E0 + 6.7270E0 79.33E0 + 7.8350E0 83.56E0 + 9.0250E0 87.75E0 + 10.2670E0 91.93E0 + 11.5780E0 96.10E0 + 12.9440E0 100.28E0 + 14.3770E0 104.46E0 + 15.8560E0 108.66E0 + 17.3310E0 112.71E0 + 18.8850E0 116.88E0 + 20.5750E0 121.33E0 + 22.3200E0 125.79E0 + 22.3030E0 125.79E0 + 23.4600E0 128.74E0 + 24.0600E0 130.27E0 + 25.2720E0 133.33E0 + 25.8530E0 134.79E0 + 27.1100E0 137.93E0 + 27.6580E0 139.33E0 + 28.9240E0 142.46E0 + 29.5110E0 143.90E0 + 30.7100E0 146.91E0 + 31.3500E0 148.51E0 + 32.5200E0 151.41E0 + 33.2300E0 153.17E0 + 34.3300E0 155.97E0 + 35.0600E0 157.76E0 + 36.1700E0 160.56E0 + 36.8400E0 162.30E0 + 38.0100E0 165.21E0 + 38.6700E0 166.90E0 + 39.8700E0 169.92E0 + 40.0300E0 170.32E0 + 40.5000E0 171.54E0 + 41.3700E0 173.79E0 + 41.6700E0 174.57E0 + 42.3100E0 176.25E0 + 42.7300E0 177.34E0 + 43.4600E0 179.19E0 + 44.1400E0 181.02E0 + 44.5500E0 182.08E0 + 45.2200E0 183.88E0 + 45.9200E0 185.75E0 + 46.3000E0 186.80E0 + 47.0000E0 188.63E0 + 47.6800E0 190.45E0 + 48.0600E0 191.48E0 + 48.7400E0 193.35E0 + 49.4100E0 195.22E0 + 49.7600E0 196.23E0 + 50.4300E0 198.05E0 + 51.1100E0 199.97E0 + 51.5000E0 201.06E0 + 52.1200E0 202.83E0 + 52.7600E0 204.69E0 + 53.1800E0 205.86E0 + 53.7800E0 207.58E0 + 54.4600E0 209.50E0 + 54.8300E0 210.65E0 + 55.4000E0 212.33E0 + 56.4300E0 215.43E0 + 57.0300E0 217.16E0 + 58.0000E0 220.21E0 + 58.6100E0 221.98E0 + 59.5800E0 225.06E0 + 60.1100E0 226.79E0 + 61.1000E0 229.92E0 + 61.6500E0 231.69E0 + 62.5900E0 234.77E0 + 63.1200E0 236.60E0 + 64.0300E0 239.63E0 + 64.6200E0 241.50E0 + 65.4900E0 244.48E0 + 66.0300E0 246.40E0 + 66.8900E0 249.35E0 + 67.4200E0 251.32E0 + 68.2300E0 254.22E0 + 68.7700E0 256.24E0 + 69.5900E0 259.11E0 + 70.1100E0 261.18E0 + 70.8600E0 264.02E0 + 71.4300E0 266.13E0 + 72.1600E0 268.94E0 + 72.7000E0 271.09E0 + 73.4000E0 273.87E0 + 73.9300E0 276.08E0 + 74.6000E0 278.83E0 + 75.1600E0 281.08E0 + 75.8200E0 283.81E0 + 76.3400E0 286.11E0 + 76.9800E0 288.81E0 + 77.4800E0 291.08E0 + 78.0800E0 293.75E0 + 78.6000E0 295.99E0 + 79.1700E0 298.64E0 + 79.6200E0 300.84E0 + 79.8800E0 302.02E0 + 80.1900E0 303.48E0 + 80.6600E0 305.65E0 + 81.2200E0 308.27E0 + 81.6600E0 310.41E0 + 82.1600E0 313.01E0 + 82.5900E0 315.12E0 + 83.1400E0 317.71E0 + 83.5000E0 319.79E0 + 84.0000E0 322.36E0 + 84.4000E0 324.42E0 + 84.8900E0 326.98E0 + 85.2600E0 329.01E0 + 85.7400E0 331.56E0 + 86.0700E0 333.56E0 + 86.5400E0 336.10E0 + 86.8900E0 338.08E0 + 87.3200E0 340.60E0 + 87.6500E0 342.57E0 + 88.1000E0 345.08E0 + 88.4300E0 347.02E0 + 88.8300E0 349.52E0 + 89.1200E0 351.44E0 + 89.5400E0 353.93E0 + 89.8500E0 355.83E0 + 90.2500E0 358.32E0 + 90.5500E0 360.20E0 + 90.9300E0 362.67E0 + 91.2000E0 364.53E0 + 91.5500E0 367.00E0 + 92.2000E0 371.30E0 Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Kirby2.dat ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Modified: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat?rev=1337527&r1=1337526&r2=1337527&view=diff ============================================================================== --- commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat (original) +++ commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat Sat May 12 12:54:49 2012 @@ -1,84 +1,84 @@ -NIST/ITL StRD -Dataset Name: Lanczos1 (Lanczos1.dat) - -File Format: ASCII - Starting Values (lines 41 to 46) - Certified Values (lines 41 to 51) - Data (lines 61 to 84) - -Procedure: Nonlinear Least Squares Regression - -Description: These data are taken from an example discussed in - Lanczos (1956). The data were generated to 14-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: 1 Response (y) - 1 Predictor (x) - 24 Observations - Average Level of Difficulty - Generated Data - -Model: Exponential Class - 6 Parameters (b1 to b6) - - y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e - - - - Starting values Certified Values - - Start 1 Start 2 Parameter Standard Deviation - b1 = 1.2 0.5 9.5100000027E-02 5.3347304234E-11 - b2 = 0.3 0.7 1.0000000001E+00 2.7473038179E-10 - b3 = 5.6 3.6 8.6070000013E-01 1.3576062225E-10 - b4 = 5.5 4.2 3.0000000002E+00 3.3308253069E-10 - b5 = 6.5 4 1.5575999998E+00 1.8815731448E-10 - b6 = 7.6 6.3 5.0000000001E+00 1.1057500538E-10 - -Residual Sum of Squares: 1.4307867721E-25 -Residual Standard Deviation: 8.9156129349E-14 -Degrees of Freedom: 18 -Number of Observations: 24 - - - - - - - - -Data: y x - 2.513400000000E+00 0.000000000000E+00 - 2.044333373291E+00 5.000000000000E-02 - 1.668404436564E+00 1.000000000000E-01 - 1.366418021208E+00 1.500000000000E-01 - 1.123232487372E+00 2.000000000000E-01 - 9.268897180037E-01 2.500000000000E-01 - 7.679338563728E-01 3.000000000000E-01 - 6.388775523106E-01 3.500000000000E-01 - 5.337835317402E-01 4.000000000000E-01 - 4.479363617347E-01 4.500000000000E-01 - 3.775847884350E-01 5.000000000000E-01 - 3.197393199326E-01 5.500000000000E-01 - 2.720130773746E-01 6.000000000000E-01 - 2.324965529032E-01 6.500000000000E-01 - 1.996589546065E-01 7.000000000000E-01 - 1.722704126914E-01 7.500000000000E-01 - 1.493405660168E-01 8.000000000000E-01 - 1.300700206922E-01 8.500000000000E-01 - 1.138119324644E-01 9.000000000000E-01 - 1.000415587559E-01 9.500000000000E-01 - 8.833209084540E-02 1.000000000000E+00 - 7.833544019350E-02 1.050000000000E+00 - 6.976693743449E-02 1.100000000000E+00 - 6.239312536719E-02 1.150000000000E+00 +NIST/ITL StRD +Dataset Name: Lanczos1 (Lanczos1.dat) + +File Format: ASCII + Starting Values (lines 41 to 46) + Certified Values (lines 41 to 51) + Data (lines 61 to 84) + +Procedure: Nonlinear Least Squares Regression + +Description: These data are taken from an example discussed in + Lanczos (1956). The data were generated to 14-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: 1 Response (y) + 1 Predictor (x) + 24 Observations + Average Level of Difficulty + Generated Data + +Model: Exponential Class + 6 Parameters (b1 to b6) + + y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e + + + + Starting values Certified Values + + Start 1 Start 2 Parameter Standard Deviation + b1 = 1.2 0.5 9.5100000027E-02 5.3347304234E-11 + b2 = 0.3 0.7 1.0000000001E+00 2.7473038179E-10 + b3 = 5.6 3.6 8.6070000013E-01 1.3576062225E-10 + b4 = 5.5 4.2 3.0000000002E+00 3.3308253069E-10 + b5 = 6.5 4 1.5575999998E+00 1.8815731448E-10 + b6 = 7.6 6.3 5.0000000001E+00 1.1057500538E-10 + +Residual Sum of Squares: 1.4307867721E-25 +Residual Standard Deviation: 8.9156129349E-14 +Degrees of Freedom: 18 +Number of Observations: 24 + + + + + + + + +Data: y x + 2.513400000000E+00 0.000000000000E+00 + 2.044333373291E+00 5.000000000000E-02 + 1.668404436564E+00 1.000000000000E-01 + 1.366418021208E+00 1.500000000000E-01 + 1.123232487372E+00 2.000000000000E-01 + 9.268897180037E-01 2.500000000000E-01 + 7.679338563728E-01 3.000000000000E-01 + 6.388775523106E-01 3.500000000000E-01 + 5.337835317402E-01 4.000000000000E-01 + 4.479363617347E-01 4.500000000000E-01 + 3.775847884350E-01 5.000000000000E-01 + 3.197393199326E-01 5.500000000000E-01 + 2.720130773746E-01 6.000000000000E-01 + 2.324965529032E-01 6.500000000000E-01 + 1.996589546065E-01 7.000000000000E-01 + 1.722704126914E-01 7.500000000000E-01 + 1.493405660168E-01 8.000000000000E-01 + 1.300700206922E-01 8.500000000000E-01 + 1.138119324644E-01 9.000000000000E-01 + 1.000415587559E-01 9.500000000000E-01 + 8.833209084540E-02 1.000000000000E+00 + 7.833544019350E-02 1.050000000000E+00 + 6.976693743449E-02 1.100000000000E+00 + 6.239312536719E-02 1.150000000000E+00 Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/Lanczos1.dat ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Modified: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat URL: http://svn.apache.org/viewvc/commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat?rev=1337527&r1=1337526&r2=1337527&view=diff ============================================================================== --- commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat (original) +++ commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat Sat May 12 12:54:49 2012 @@ -1,93 +1,93 @@ -NIST/ITL StRD -Dataset Name: MGH17 (MGH17.dat) - -File Format: ASCII - Starting Values (lines 41 to 45) - Certified Values (lines 41 to 50) - Data (lines 61 to 93) - -Procedure: Nonlinear Least Squares Regression - -Description: This problem was found to be difficult for some very - good algorithms. - - See More, J. J., Garbow, B. S., and Hillstrom, K. E. - (1981). Testing unconstrained optimization software. - ACM Transactions on Mathematical Software. 7(1): - pp. 17-41. - -Reference: Osborne, M. R. (1972). - Some aspects of nonlinear least squares - calculations. In Numerical Methods for Nonlinear - Optimization, Lootsma (Ed). - New York, NY: Academic Press, pp. 171-189. - -Data: 1 Response (y) - 1 Predictor (x) - 33 Observations - Average Level of Difficulty - Generated Data - -Model: Exponential Class - 5 Parameters (b1 to b5) - - y = b1 + b2*exp[-x*b4] + b3*exp[-x*b5] + e - - - - Starting values Certified Values - - Start 1 Start 2 Parameter Standard Deviation - b1 = 50 0.5 3.7541005211E-01 2.0723153551E-03 - b2 = 150 1.5 1.9358469127E+00 2.2031669222E-01 - b3 = -100 -1 -1.4646871366E+00 2.2175707739E-01 - b4 = 1 0.01 1.2867534640E-02 4.4861358114E-04 - b5 = 2 0.02 2.2122699662E-02 8.9471996575E-04 - -Residual Sum of Squares: 5.4648946975E-05 -Residual Standard Deviation: 1.3970497866E-03 -Degrees of Freedom: 28 -Number of Observations: 33 - - - - - - - - - -Data: y x - 8.440000E-01 0.000000E+00 - 9.080000E-01 1.000000E+01 - 9.320000E-01 2.000000E+01 - 9.360000E-01 3.000000E+01 - 9.250000E-01 4.000000E+01 - 9.080000E-01 5.000000E+01 - 8.810000E-01 6.000000E+01 - 8.500000E-01 7.000000E+01 - 8.180000E-01 8.000000E+01 - 7.840000E-01 9.000000E+01 - 7.510000E-01 1.000000E+02 - 7.180000E-01 1.100000E+02 - 6.850000E-01 1.200000E+02 - 6.580000E-01 1.300000E+02 - 6.280000E-01 1.400000E+02 - 6.030000E-01 1.500000E+02 - 5.800000E-01 1.600000E+02 - 5.580000E-01 1.700000E+02 - 5.380000E-01 1.800000E+02 - 5.220000E-01 1.900000E+02 - 5.060000E-01 2.000000E+02 - 4.900000E-01 2.100000E+02 - 4.780000E-01 2.200000E+02 - 4.670000E-01 2.300000E+02 - 4.570000E-01 2.400000E+02 - 4.480000E-01 2.500000E+02 - 4.380000E-01 2.600000E+02 - 4.310000E-01 2.700000E+02 - 4.240000E-01 2.800000E+02 - 4.200000E-01 2.900000E+02 - 4.140000E-01 3.000000E+02 - 4.110000E-01 3.100000E+02 - 4.060000E-01 3.200000E+02 +NIST/ITL StRD +Dataset Name: MGH17 (MGH17.dat) + +File Format: ASCII + Starting Values (lines 41 to 45) + Certified Values (lines 41 to 50) + Data (lines 61 to 93) + +Procedure: Nonlinear Least Squares Regression + +Description: This problem was found to be difficult for some very + good algorithms. + + See More, J. J., Garbow, B. S., and Hillstrom, K. E. + (1981). Testing unconstrained optimization software. + ACM Transactions on Mathematical Software. 7(1): + pp. 17-41. + +Reference: Osborne, M. R. (1972). + Some aspects of nonlinear least squares + calculations. In Numerical Methods for Nonlinear + Optimization, Lootsma (Ed). + New York, NY: Academic Press, pp. 171-189. + +Data: 1 Response (y) + 1 Predictor (x) + 33 Observations + Average Level of Difficulty + Generated Data + +Model: Exponential Class + 5 Parameters (b1 to b5) + + y = b1 + b2*exp[-x*b4] + b3*exp[-x*b5] + e + + + + Starting values Certified Values + + Start 1 Start 2 Parameter Standard Deviation + b1 = 50 0.5 3.7541005211E-01 2.0723153551E-03 + b2 = 150 1.5 1.9358469127E+00 2.2031669222E-01 + b3 = -100 -1 -1.4646871366E+00 2.2175707739E-01 + b4 = 1 0.01 1.2867534640E-02 4.4861358114E-04 + b5 = 2 0.02 2.2122699662E-02 8.9471996575E-04 + +Residual Sum of Squares: 5.4648946975E-05 +Residual Standard Deviation: 1.3970497866E-03 +Degrees of Freedom: 28 +Number of Observations: 33 + + + + + + + + + +Data: y x + 8.440000E-01 0.000000E+00 + 9.080000E-01 1.000000E+01 + 9.320000E-01 2.000000E+01 + 9.360000E-01 3.000000E+01 + 9.250000E-01 4.000000E+01 + 9.080000E-01 5.000000E+01 + 8.810000E-01 6.000000E+01 + 8.500000E-01 7.000000E+01 + 8.180000E-01 8.000000E+01 + 7.840000E-01 9.000000E+01 + 7.510000E-01 1.000000E+02 + 7.180000E-01 1.100000E+02 + 6.850000E-01 1.200000E+02 + 6.580000E-01 1.300000E+02 + 6.280000E-01 1.400000E+02 + 6.030000E-01 1.500000E+02 + 5.800000E-01 1.600000E+02 + 5.580000E-01 1.700000E+02 + 5.380000E-01 1.800000E+02 + 5.220000E-01 1.900000E+02 + 5.060000E-01 2.000000E+02 + 4.900000E-01 2.100000E+02 + 4.780000E-01 2.200000E+02 + 4.670000E-01 2.300000E+02 + 4.570000E-01 2.400000E+02 + 4.480000E-01 2.500000E+02 + 4.380000E-01 2.600000E+02 + 4.310000E-01 2.700000E+02 + 4.240000E-01 2.800000E+02 + 4.200000E-01 2.900000E+02 + 4.140000E-01 3.000000E+02 + 4.110000E-01 3.100000E+02 + 4.060000E-01 3.200000E+02 Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat ------------------------------------------------------------------------------ svn:eol-style = native Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/optimization/general/MGH17.dat ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL Propchange: commons/proper/math/trunk/src/test/resources/org/apache/commons/math3/random/emptyFile.txt ------------------------------------------------------------------------------ svn:keywords = Date Author Id Revision HeadURL