‘ๆ312‰๑Œค‹†u‰‰‰๏ŠJรˆฤ“เ


“ม•สu‰‰‰๏
ŽๅรF“dŽq๎•๑’สMŠw‰๏“Œ–kŽx•”
‹ครF“Œ–k‘ๅŠwƒRƒ“ƒsƒ…[ƒ^ƒTƒCƒGƒ“ƒXŒค‹†‰๏
๎•๑ˆ—Šw‰๏“Œ–kŽx•”
uŽt–ผF@Professor Hsu-Chun Yen
uŽtŠ‘ฎF@Dept. of Electrical Engineering
@@@@National Taiwan University
u‰‰‰๏ƒ^ƒCƒgƒ‹FSemilinear Sets and Their Applications
ŠJร“๚ŽžF‚Q‚O‚O‚T”N‚PŒŽ‚Q‚S“๚iŒŽj‚P‚RF‚O‚O|‚P‚SF‚O‚O
ŠJร๊ŠF“Œ–k‘ๅŠwHŠw•”“d‹C๎•๑Œn‚Q†Šู‚S‚O‚R†Žบ

ŠT—vF Semilinear sets are exactly those that can be expressed by Presburger Arithmetic. As many interesting problems concerning Presburger Arithmetic (including membership, equivalence and containment) are decidable, semilinear sets have found interesting applications in a variety of areas in computer sciences. In this talk, we first survey some of the properties and results concerning semilinear sets, and then see how they can be applied to the analysis of concurrent systems. In the second part of this talk, we focus on a restricted class called upward-closed sets. Although it is known that any upward-closed set exhibits a finite number of minimal elements, such elements, however, may not be computable in general. We demonstrate conditions under which the set of minimal elements of an upward-closed set is not only computable, but more importantly, a bound for the size of the minimal elements can also be deduced. Some applications regarding this characterization of upward-closed sets are given.



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