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ABSTRACT
Computer algebra can be of importance in solving electrical network synthesis problems. It enables to generate automatically FORTRAN-programs needed to solve the underlying systems of nonlinear multivariate polynomial equations. Such systems are obtained by equating the numerical target function and a symbolically computed equivalent. Breuer's grow factor algorithm is extended not only to eventually improve the result of required determinant calculations, but also to optimize FORTRAN-code describing the system and the associated Jacobian. It is indicated how this common subexpression search approach can be extended.
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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[doi> 10.1145/800206.806386]
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CITED BY 4
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J. A. van Hulzen , B. J. Hulshof , B. L. Gates , M. C. van Heerwaarden, A code optimization package for REDUCE, Proceedings of the ACM-SIGSAM 1989 international symposium on Symbolic and algebraic computation, p.163-170, July 17-19, 1989, Portland, Oregon, United States
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J. Smit, A cancellation free algorithm, with factoring capabilities, for the efficient solution of large sparse sets of equations, Proceedings of the fourth ACM symposium on Symbolic and algebraic computation, p.146-154, August 05-07, 1981, Snowbird, Utah, United States
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