Jsun Yui Wong

2"Solving systems of nonlinear equations is perhaps the most difficult problem in all of numerical computations," Rice [8, 1993, p. 355].

"We make an extreme, but wholly defensible, statement: There are* no* good, general methods for solving systems of more than one nonlinear equation. Furthermore, it is not hard to see why (very likely) there *never will be* any good, general methods," Press, Teukolsky, Vetterling, and Flannery [7, 2007, p. 473].

"Solving a system of nonlinear equations is a problem that is avoided where possible, customarily by approximating the nonlinear system by a system of linear equations. When this is unsatisfactory, the problem must be tackled directly," Burden, Faires, and Burden [1, 2016, page 642].

Using qb64v1000-win [9], the following computer program seeks to solve the second exponential problem in Cao [2, p. 9, Problem 6].

0 DEFDBL A-Z

3 DEFINT J, K

4 DIM X(32768), A(32768), L(32768), K(32768), P(2222)

5 FOR JJJJ = -32000 TO 32000

14 RANDOMIZE JJJJ

16 M = -1D+50

91 FOR KK = 1 TO 1000

94 A(KK) = RND

95 NEXT KK

128 FOR I = 1 TO 20000 STEP 1

129 FOR K = 1 TO 1000

131 X(K) = A(K)

132 NEXT K

155 FOR IPP = 1 TO FIX(1 + RND * 3)

181 B = 1 + FIX(RND * 1000)

183 R = (1 - RND * 2) * A(B)

187 IF RND < .25 THEN X(B) = A(B) + RND * R ELSE IF RND < .333 THEN X(B) = A(B) + RND ^ 4 * R ELSE IF RND < .5 THEN X(B) = A(B) + RND ^ 7 * R ELSE X(B) = INT(A(B))

191 NEXT IPP

222 FOR J44 = 1 TO 1000

227 IF X(J44) > 80 THEN 1670

229 NEXT J44

770 P(1) = -ABS(EXP(X(1)) - 1)

771 FOR J44 = 2 TO 1000

774 P(J44) = -ABS(.1 * J44 * (EXP(X(J44)) + X(J44 - 1) - 1))

777 NEXT J44

800 P = 0

801 FOR J44 = 2 TO 1000

822 P = P + P(J44)

888 NEXT J44

999 REM

1111 P = P(1) + P

1451 IF P <= M THEN 1670

1657 FOR KEW = 1 TO 1000

1658 A(KEW) = X(KEW)

1659 NEXT KEW

1661 M = P

1670 NEXT I

1890 IF M < -500 THEN 1999

1912 PRINT A(1), A(2), A(3)

1915 PRINT A(4), A(5), A(6)

1917 PRINT A(7), A(8), A(9)

1927 PRINT A(557), A(558), A(559)

1937 PRINT A(777), A(778), A(779)

1947 PRINT A(997), A(998), A(999)

1949 PRINT A(1000), M, JJJJ

1999 NEXT JJJJ

This computer program was run with qb64v1000-win [9]. Copied by hand from the screen, the computer programâ€™s complete output through

JJJJ= -31998 is shown below.

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 -5.28547613964763 -32000

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 -31999

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 0

0 0 -31998

Above there is no rounding by hand; it is just straight copying by hand from the screen.

Of the 1000 unknowns, only the 19 A's of line 1912 through line 1949 are shown above.

On a personal computer with a Pentium Dual-Core CPU E5200 @2.50GHz, 2.50 GHz, 960 MB of RAM and with qb64v1000-win [9], the wall-clock time for obtaining the output through JJJJ= -31998 was 40 seconds, including "creating .EXE file" time.

**Acknowledgment**

I would like to acknowledge the encouragement of Roberta Clark and Tom Clark.

References

[1] R. L. Burden, J. D. Faires, Annette M. Burden. *Numerical Analysis, Tenth Edition*. Cengage Learning, 2016.

[2] Huiping Cao, Global Convergence of Schubert's Method for Solving Sparse Nonlinear Equations, *Abstract and Applied Analysis*, Volume 2014, Article ID 251587, 12 pages. Hindawi Publishing Corporation. http://dx.doi.org/10.1155/2014/251587

[3] C. A. Floudas, *Deterministic Global Optimization*. Kluwer Academic Publishers, 2000.

[4] Tianmin Han, Yuhuan Han, Solving Large Scale Nonlinear Equations by a New ODE Numerical Integration Method, *Applied Mathematics*, 2010, 1, 222-229.

http://www.SciRP.org/journal/am

[5] Microsoft Corp. *BASIC, second edition* (May 1982), Version 1.10. Boca Raton, Florida: IBM Corp., Personal Computer, P. O. Box 1328-C, Boca Raton, Florida 33432, 1981.

[6] Alexander P. Morgan, A Method for Computing All Solutions to Systems of Polynomial Equations, *ACM Transactions on Mathematical Software*, Vol. 9, No. 1, March 1983, Pages 1-17. https://folk.uib.no/ssu029/pdf_file/Morgan83.pdf

[7] W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery. *Numerical recipes: the art of* scientific computing, third ed. Cambridge University Press, 2007.

[8] J. Rice. *Numerical Methods, Software, and Analysis, Second Edition*. Academic Press, 1993.

[9] Wikipedia, QB64, https://en.wikipedia.org/wiki/QB64

[10] M. Ziani, F. Guyomarc'h, An Autoadaptive Limited Memory Broyden's Method To Solve Systems of Nonlinear Equations, *Applied Mathematics and Computation* 205 (2008) pp. 202-211. web.info.uvt.ro/~cristiana.drogoescu/MC/broyden.pdf

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