A complexity lower bound based on software engineering concepts

• Autores: Rojas Paredes, Andrés
• Año de publicación: 2013
• Idioma: español castellano
• Tipo de recurso: documento de conferencia
• Materia: Ciencias Informáticas; non-functional requirement trade–off; information hiding; arithmetic circuit; complexity lower bound; polynomial equation solving; quantifier climination in algebraic geometry
• Institución: Universidad Nacional de La Plata

We consider the problem of polynomial equation solving also known as quantifier elimination in Effective Algebraic Geometry. The complexity of the first elimination algorithms were double exponential, but a considerable progress was carried out when the polynomials were represented by arithmetic circuits evaluating them. This representation improves the complexity to pseudo–polynomial time. The question is whether the actual asymptotic complexity of circuit– based elimination algorithms may be improved. The answer is no when elimination algorithms are constructed according to well known software engineering rules, namely applying information hiding and taking into account non–functional requirements. These assumptions allows to prove a complexity lower bound which constitutes a mathematically certified non–functional requirement trade–off and a surprising connection between Software Engineering and the theoretical fields of Algebraic Geometry and Computational Complexity Theory.
WATCC - IV Workshop aspectos teóricos de ciencia de la computación
Red de Universidades con Carreras en Informática (RedUNCI)