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An Evaluation of Mathematical Software that Solves Nonlinear Least Squares Problems
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Volume 7 ,  Issue 1  (March 1981) table of contents
Pages: 1 - 16  
Year of Publication: 1981
ISSN:0098-3500
Author
K. L. Hiebert  Sandia National Laboratories, Albuquerque, NM
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 46,   Citation Count: 6
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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2
DENNIS, J.E., GAY, D.M., AND WELSCH, R.E. An adapative nonlinear least-squares algorithm. NBER Worhng Paper 196, M.I.T./Center for Computational Research m Econormcs and Management Science, Cambridge, Mass., August 1977
 
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Harwell Subroutine Library-Catalog of Subroutines, AERE 7477(73) (M.J. Hopper) Comput Sci. and Syst. Div., A.E.R.E., Harwell, Oxfordshlre, U.K.
 
4
HIEBERT, K.L. A comparison of nonhnear least squares software. Sandia Tech. Rep. SAND79- 0483, Sandia Labs., Albuquerque, N. Mex., 1979.
 
5
IMSL Library Reference Manual, 7th ed. IMSL, Houston, Tex., 1979.
 
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7
JEFFERSON, T.H. TJMAR1--A FORTRAN subroutine for nonlinear least squares parameter estimation. Sandia Tech. Rep. SLL-73-0305, Sandia Labs., Livermore, Calif.
 
8
JPL Math Library Documentation, Jet Propulsion Lab., Pasadena, Calif.
9
 
10
MINPACK Documentation, Appl. Math. Dlv., Argonne National Lab., Argonne, Ill.
 
11
MoR~, J.J. The Levenberg-Marquardt algorithm" Implementation and theory, in Numerwal Analys~s, G.A. Watson (Ed.), Lecture Notes in Mathematics 630, Spnnger-Verlag, New York, 1977, pp. 105-116.
 
12
MoR~, J.j., GARBOW, B.S., AND I'IILLSTROM, K.E. Testing unconstrained optimization software. Rep. TM-324, Appl. Math. Div., Argonne National Lab., Argonne, Ill., 1978.
 
13
NAG FORTRAN L~brary Manual, Mark 6, The Numerical Algorithms Group (USA) inc., Downers Grove, Ill, 1977.
 
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NPL Numerical Optimization Software Library User's Manual, Nat. Phys. Lab., Tedchngton, U.K.
 
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PECKHAM, G. A new method for minimizing a sum of squares w~thout calculating gradients. Comput. J. 13, 4 (Nov. 1970), 418--420.