Exploratory Data Analysis in a Study of the Performance of Nonlinear Optimization Routines

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Exploratory Data Analysis in a Study of the Performance of Nonlinear Optimization Routines

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ACM Transactions on Mathematical Software (TOMS) archive
Volume 8 , Issue 2 (June 1982) table of contents

Pages: 145 - 162

Year of Publication: 1982

ISSN:0098-3500

Authors

David C. Hoaglin	Department of Statistics, Harvard University, Cambridge, MA
Virginia Klema	Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA
Stephen C. Peters	Department of Statistics, Stanford University, Stanford, CA

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 21, Citation Count: 1

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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.

	1	Richard H. Bartels , Andrew R. Conn, Linearly Constrained Discrete I₁ Problems, ACM Transactions on Mathematical Software (TOMS), v.6 n.4, p.594-608, Dec. 1980 [doi>10.1145/355921.355930]
	2	BRENT, R,P. Algorithms for Minimization Without Derivatives. Prentice-Hall, Englewood Cliffs, N.J., 1973.
	3	David Coleman , Paul Holland , Neil Kaden , Virginia Klema , Stephen C. Peters, A System of Subroutines for Iteratively Reweighted Least Squares Computations, ACM Transactions on Mathematical Software (TOMS), v.6 n.3, p.327-336, Sept. 1980 [doi>10.1145/355900.355905]
	4	DENNIS, J.E., JR., GAY, D.M., AND WELSCH, R.E. An adaptive nonlinear least-squares algorithm. Tech. Rep. 142, Operations Research Center, Massachusetts Institute of Technology, Cambridge, Mass., Jan. 1978.
	5	DENNIS, J.E., JR., AND SCHNABEL, R.B. Quasi-Newton Methods for Unconstrained Nonlinear Problems, in preparation.
	6	FLETCHER, R., AND POWELL, M.J.D. A rapidly convergent descent method for minimization. Comput. J. 6 (1963), 163-168.
	7	GILL, P.E., AND MURRAY, W. Algorithm for the solution of the non-linear least-squares problem. Rep. NAC 71, National Physical Laboratory, Teddington, Middlesex, England, 1976.
	8	Kenneth E. Hillstrom, A Simulation Test Approach to the Evaluation of Nonlinear Optimization Algorithms, ACM Transactions on Mathematical Software (TOMS), v.3 n.4, p.305-315, Dec. 1977 [doi>10.1145/355759.355760]
	9	HOAGLIN, D.C. Mathematical software and exploratory data analysis. In Mathematical Software III, J.R. Rice (Ed.), Academic Press, New York, 1977, pp. 139-159.
	10	HOAGLIN, D.C., KLEMA, V.C., AND PETERS, S.C. Exploratory data analysis in a study of the performance of nonlinear optimization routines. Tech. Rep. LIDS-P-903, Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Mass., Nov. 1980.
	11	HOAGLIN, D.C., AND PETERS, S.C. Software for exploring distribution shape. In Proc. Computer Science and Stattstics: 12th Annu. Syrup. on the interface, Jane F. Gentleman (Ed.), Umv. of Waterloo, Waterloo, Ont., Canada, 1979, pp. 418-423.
	12	HOAGLIN, D.C., AND WASSERMAN, S.S. Automating stem-and-leaf displays. Working Paper 109, NBER Computer Research Center, Cambridge, Mass., 1975.
	13	MORE, J.J., GARBOW, B.S., AND HILLSTROM, K.E. Testing unconstrained optimization software. Tech. Memo. 324, Applied Mathematics Division, Argonne National Laboratory, Argonne, Ill., July 1978.
	14	NASH, J.C. An annotated bibliography on methods for nonlinear least squares computations including test problems. Mary Nash Information Services, Vanier, Ont., Canada, 1976.
	15	RICE, J.R., AND WHITE, J.S. Norms for smoothing and estimation. SIAM Rev. 6, 3(July 1964), 243-256.
	16	SCHEFFI~, H. The Analysis of Variance. John Wiley, New York, 1959.
	17	SEARLE, S.R. Linear Models. John Wiley, New York, 1971.
	18	TUKEY, J.W. Data analysis, computation and mathematics. Q. Appl. Math. 30 (1972), 51-65.
	19	TUKEY, J.W. Exploratory Data Analys~s. Addison-Wesley, Reading, Mass., 1977.
	20	VELLEMAN, P.F., AND HOAGLIN, D.C. Applications, Basws, and Computing for Exploratory Data Analysis. Duxbury Press, Boston, Mass.
	21	WILE, M.B., AND GNANADESIKAN, R. Probability plotting methods for the analysis of data. Biometrtka 55 (1968), 1-17.