Presentation 1998/9/22
Solving Non-Linear Programming Problem by Algebraic Computations
Kei-ichi SHIRAISHi, Hiroshi KAI, Matu-tarow NODA,
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Abstract(in English) An algebraic method to solve optimization problems are discussed. The problem is to maximize or minimize an objective function under some constraints. Here, we consider the objective function and constraints which are expressed as polynomials. In the algebraic method, the function and constraints are changed by a set of polynomial equations by adding slack variables. The set of polynomial equations is reduced algebraically to a univariate polynomial (algebraic) equation by Grobner basis computations. In the reduction process, a termordering of variables become inportant for the Grobner basis computation. Results by two types of the ordering, the lexicographic (Lex) ordring and the reverse lexicographic (DegRevLex and abbreviate simply DRL) ordering, are discussed. The resulting equation is solved by using algebraic Sturm's theorem. The method is applied to practical examples.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Optimization problem / Algebraic computation / Grobner basis
Paper # SS98-27
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Conference Date 1998/9/22(1days)
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Registration To Software Science (SS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Non-Linear Programming Problem by Algebraic Computations
Sub Title (in English)
Keyword(1) Optimization problem
Keyword(2) Algebraic computation
Keyword(3) Grobner basis
1st Author's Name Kei-ichi SHIRAISHi
1st Author's Affiliation Department of Computer Science, Ehime University()
2nd Author's Name Hiroshi KAI
2nd Author's Affiliation Department of Computer Science, Ehime University
3rd Author's Name Matu-tarow NODA
3rd Author's Affiliation Department of Computer Science, Ehime University
Date 1998/9/22
Paper # SS98-27
Volume (vol) vol.98
Number (no) 295
Page pp.pp.-
#Pages 6
Date of Issue