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authorAngus Kong <shkong@google.com>2013-02-13 14:56:04 -0800
committerAngus Kong <shkong@google.com>2013-02-14 13:33:05 -0800
commit0ae28bd5885b5daa526898fcf7c323dc2c3e1963 (patch)
tree487c4897ae7509fb4e05751b0a673a8090e26d41 /data/nist/MGH09.dat
parente9e9be9383b479ac1573370ab221ffbac4de8c90 (diff)
downloadceres-solver-0ae28bd5885b5daa526898fcf7c323dc2c3e1963.tar.gz
Added a NOTICE and a MODULE_LICENSE_BSD file. Added Android.mk for master build and unbundled build. Added CleanSpec.mk to optimize Android build. Change-Id: I6cd82bcabc1a94b10239f9fca017de0afd20e769
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+NIST/ITL StRD
+Dataset Name: MGH09 (MGH09.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 44)
+ Certified Values (lines 41 to 49)
+ Data (lines 61 to 71)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: This problem was found to be difficult for some very
+ good algorithms. There is a local minimum at (+inf,
+ -14.07..., -inf, -inf) with final sum of squares
+ 0.00102734....
+
+ 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: Kowalik, J.S., and M. R. Osborne, (1978).
+ Methods for Unconstrained Optimization Problems.
+ New York, NY: Elsevier North-Holland.
+
+Data: 1 Response (y)
+ 1 Predictor (x)
+ 11 Observations
+ Higher Level of Difficulty
+ Generated Data
+
+Model: Rational Class (linear/quadratic)
+ 4 Parameters (b1 to b4)
+
+ y = b1*(x**2+x*b2) / (x**2+x*b3+b4) + e
+
+
+
+ Starting values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 25 0.25 1.9280693458E-01 1.1435312227E-02
+ b2 = 39 0.39 1.9128232873E-01 1.9633220911E-01
+ b3 = 41.5 0.415 1.2305650693E-01 8.0842031232E-02
+ b4 = 39 0.39 1.3606233068E-01 9.0025542308E-02
+
+Residual Sum of Squares: 3.0750560385E-04
+Residual Standard Deviation: 6.6279236551E-03
+Degrees of Freedom: 7
+Number of Observations: 11
+
+
+
+
+
+
+
+
+
+
+Data: y x
+ 1.957000E-01 4.000000E+00
+ 1.947000E-01 2.000000E+00
+ 1.735000E-01 1.000000E+00
+ 1.600000E-01 5.000000E-01
+ 8.440000E-02 2.500000E-01
+ 6.270000E-02 1.670000E-01
+ 4.560000E-02 1.250000E-01
+ 3.420000E-02 1.000000E-01
+ 3.230000E-02 8.330000E-02
+ 2.350000E-02 7.140000E-02
+ 2.460000E-02 6.250000E-02