Recently, several power estimation techniques have been proposed. Some of them can be used to accurately estimate power dissipation provided that the exact signal probability (probability of a signal being logic ONE) and signal activity (probability of signal switching) of primary inputs are known. In general, very accurate speciication of primary input signal probability and activity may not b...

The symbolic value partition problem is more general than the reduct problem and more complicated than the discretization problem. In this paper, we point out that the symbolic value partition problem can be converted into a series of reduct problems and propose an algorithm called reduction based symbolic value partition (RBSVP) whose all possible outputs form the set of all partition reducts....

Symbolic machine learning techniques can extract exible and comprehensible knowledge from empirical data of material behavior. The diversity of symbolic machine learning techniques ooers potential to match the requirements of many tasks when models of material behavior need to be created from data. We develop a series of steps for generating material behavior from empirical data and exemplify s...

This paper describes an application of Rota and collaborator’s ideas on the foundations on combinatorial theory to the computing of solutions of some linear functional partial differential equations. We give a dynamical interpretation of the convolution families of polynomials as the entries, in the matrix representation, of the exponentials of certain contractive linear operators in the ring o...

‘Symbolic Boundaries’ are the lines that include and define some people, groups, and things while excluding others. These distinctions can be expressed through normative interdictions (taboos), cultural attitudes and practices, and patterns of likes and dislikes. They play an important role in the creation of inequality and the exercise of power. The term ‘symbolic boundaries’ also refers to th...