Up until now, QA has almost exclusively been used to solve discrete-variable functions (functions that have discrete-valued variables). The potential of QA for optimizing continuous-variable functions ...

Quantifying Ideas by Computation & Simulation Mathematics is a natural language for quantifying and codifying thoughts and ideas. It is also a language of precision and logic. Just as pictures or ...

Up until now, QA has almost exclusively been used to solve discrete-variable functions (functions that have discrete-valued variables). The potential of QA for optimizing continuous-variable ...

This course is an introduction to the essential discrete structures used in Computer Science, with emphasis on their applications. Topics to be covered include: binary number representation and ...

Discover the power of continuous-time and discrete-time singular value decomposition (SVD) for impulse response functions. Explore applications in signal processing, dynamic system analysis, acoustics ...

H.K. Mitra's method (1964) of obtaining a continuous function from its real part on the imaginary axis is extended to the case of the determination of discrete ...

In this paper, a new discrete-continuous algorithm is proposed for the construction of a RBF model. First, the orthogonal least squares (OLS)-based forward stepwise selection constructs an initial ...

In this article, we're talking about how to fix the "discrete value supplied to continuous scale" in the R programming language.

A discrete distribution is a statistical probability distribution that represents the possible discrete values a variable can take.