- 1 AIRD, T.J. Computational solution of global nonlinear least squares problems. Ph,D. Th., Comptng. Ctr., Purdue University, Lafayette, Ind., May 1973. Google Scholar
- 2 BRENT, R.P. Algorithms for Minimization without Derivatives. Prentice-Hall, Englewood Cliffs, N.j., 1973, pp. 116-167.Google Scholar
- 3 BROWN, K.M. Computer oriented algorithms for solving systems of simultaneous nonlinear algebraic equations. In Numerical 8olution of Systems of Nonlinear Equations. G.D. Byrne and C.A. Hall, Eds., Academic Press, New York, 1973, pp. 281-348.Google Scholar
- 4 BROYD~N, C.G. A class of methods for solving nonlinear simultaneous equations. Math. Comp. 19 (1965), 577-593.Google Scholar
- 5 DAVXDON, W.C. Optimally conditioned optimization algorithms without linear searches. Mathematical Programming 9 (1975), 1-30.Google Scholar
- 6 F~TCHER, R. A FORTRAN subroutine for minimization by the method of conjugate gradients. Rep. No. R-7073, Atomic Energy Res. Establishment (AERE), Harwell, England, 1972.Google Scholar
- 7 FLETCHER, R., AND POWELL, M.J.D. A rapidly convergent descent method for minimization. Comput. J. 6 (1963), 163-170.Google Scholar
- 8 FL~.~CHV.R, R. FORTRAN subroutines for minimization of quasi-Newton methods. Rep. No. R-7125, AERE, Harwell, England, 1972.Google Scholar
- 9 FLv.TCHER, R. A modified Marquardt subroutine for nonlinear least squares. Rep. No. R-6799, AERE, Harwell, England, 1970.Google Scholar
- 10 FLSTCHER, R. Methods for the solution of optimization problems. Rep. No. T.P.432, AERE, Harwell, England, 1970.Google Scholar
- 11 HILLSTROM, K.E. MINPACK I--A study in the modularization of a package of computer algorithms for the unconstrained nonlinear optimization problem. Tech. Memo. TM-252, Argonne Nat. Lab., Argonne, Ill., 1974.Google Scholar
- 12 HILLSTROM, K.E. A simulation test approach to the evaluation and comparison of unconstrained nonlinear optimization algorithms. Rep. No. 76-20, Argonne Nat. Lab., Argonne, Ill., 1976.Google Scholar
- 13 HILLSTROM, K.E. Nonlinear optimization routines in AMDLIB. Tech. Memo. No. 297, Argonne Nat. Lab., Argonne, Ill., 1976.Google Scholar
- 14 POW~.LL, M.J.D. A hybrid method of nonlinear equations. In Numerical Methods for Nonlinear Algebraic Equations, P. Rabinowitz, Ed., Gordon and Breach, London, 1970, pp. 87-114.Google Scholar
- 15 POWELL, M.J.D. A FORTRAN subroutine for solving systems of nonlinear algebraic equations. In Numerical Methods for Nonlinear Algebraic Equations. P. Rabinowitz, Ed., Gordon and Breach, London, 1970, pp. 115-161.Google Scholar
- 16 POWELL, M.J.D. A FORTRAN subroutine for unconstrained minimization, requiring first derivatives of the objective function. Rep. No. R-6469, AERE, Harwell, England, 1970.Google Scholar
- 17 POW~.LL, M.J.D. An efficient method for finding the minimum of a function of second variables without calculating derivatives. Comptr. J. 7 (1964), 155-162.Google Scholar
- 18 POWELL, M.J.D. A new algorithm for unconstrained optimization. Rep. No. T.P.-393, AERE, Harwell, England, 1970.Google Scholar
- 19 TRAUB, J.F. Iterative Methods for the 8olution of Equations. Prentice-Hail, Englewood Cliffs, N.j., 1964.Google Scholar
Index Terms
- A Simulation Test Approach to the Evaluation of Nonlinear Optimization Algorithms
Recommendations
A multi-objective optimization approach for the integration and test order problem
A common problem found during the integration testing is to determine an order to integrate and test the units. Important factors related to stubbing costs and constraints regarding to the software development context must be considered. To solve this ...
A Static Approach to Prioritizing JUnit Test Cases
Test case prioritization is used in regression testing to schedule the execution order of test cases so as to expose faults earlier in testing. Over the past few years, many test case prioritization techniques have been proposed in the literature. Most ...
Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach
In this paper, the problem of adaptive fuzzy tracking control via output feedback for a class of uncertain single-input single-output (SISO) strict-feedback nonlinear systems with unknown time-delay functions is investigated. Dynamic surface control ...
Comments