This paper examines methods in which digital media is employed not as a representational tool for visualization but as a generative tool for the derivation of form and its transformation the digital morphogenesis. It explores the possibilities for the “finding of form,” which the emergence of various digitally based generative techniques seem to bring about. It surveys the digital generative pr...

Using a parametric Riemann integral representation, a numerical algorithm for solving fuzzy Fredholm and Voltera integral equations of the second kind with arbitrary kernel is proposed and illustrated with examples. © 1999 Elsevier Science Inc. All rights reserved.

We study the conditions for 2-dimensional dilaton gravity models to have dynamical formation of black holes and construct all such models. Furthermore we present a parametric representation of the general solutions of the black holes.

This paper presents a practical analytical approach to evaluating continuous, monotonic functions of independent fuzzy numbers. The approach is based on a parametric α-cut representation of fuzzy numbers and allows for the inclusion of parameter uncertainties into mathematical models.

This paper examines the InCircle predicate among ellipses in the Euclidean plane, under the exact computation paradigm. The ellipses are non-intersecting and given in parametric representation. We present a subdivision-based algorithm and implement it in Maple and CORE.

In this paper, we prove that the position vector of every space curve satisfies a vector differential equation of fourth order. Also, we determine the parametric representation of the position vector ψ = (

We address the problem of evaluation multiloop Feynman integrals by means their Mellin-Barnes representation. After a brief overview available capabilities through open source toolkits and application in various circumstances, we introduce new code MBcreate which allows one to automatically deduce concise representation for given parametric integral. A thorough discussion its implementation use...

In this paper, the line spectral-pair frequency (LSF) representation is used as the parametric representation for speech recognition. Its performance is compared with that of the cepstral cc-efficient (CC) representation for the speaker-dependent and speaker-independent hidden Markov model (HMM) based isolated word recognition systems. It is shown that the CC and the LSF representations result ...

In this paper we present the properties of a parametric speech model based on a deterministic plus noise representation of speech initially suggested by Laroche et al. [1]. Aiming at a high resolution analysis of speech signals for voice quality control (transformation) and assessment, we focus on the deterministic representation and we reveal the properties of the model showing that such a rep...

A tensor-based method is proposed for the solution of partial differential equations defined on uncertain parameterized domains. It provides an accurate solution which is explicit with respect to parameters defining the shape of the domain, thus allowing efficient a posteriori probabilistic or parametric analyses. In the proposed method, a fictitious domain approach is first adopted for the ref...