This book delivers a methodological approach on the experimentation
and/or simulation processes from the disclaiming hypothesis on a
physical phenomenon to the validation of the results. The main
benefit of the book is that it discusses all the topics related to
experimentation and validation of the outcome including
state-of-the-art applications and presents important theoretical,
mathematical and experimental developments, providing a
self-contained major reference that is appealing to both the
scientists and the engineers. At the same time, these topics are
encountered in a variety of scientific and engineering disciplines.
As a first step, it presents the theoretical and practical
implications on the formation of a hypothesis, considering the
existing knowledge collection, classification and validation of the
particular areas of experimenting interest. Afterwards, the
transition from the knowledge classes to the experimentation
parameters according to the phenomena evolution contributors and
the systemic properties of the descriptors are discussed. The major
experimenting requirements focus on the conditions to satisfy a
potential disclaim of the initial hypothesis as conditions.
Furthermore, the experimentation outcome, as derived via the
previous experimentation process set-up, would be validate for the
similarities among the existing knowledge and derived new one. The
whole methodology offers a powerful tool towards the minimization
of research effort wastes, as far as it can identify the lacks of
knowledge, thus the areas of interest where the current research
has to work on. The special features of this book are (a) the use
of state-of-the-art techniques for the classification of knowledge,
(b) the consideration of a realistic systemic world of engineering
approached phenomena, (c) the application of advanced mathematical
techniques for identifying, describing and testing the similarities
in the research results and conclusions, and (d) the experimental
investigation of relevant phenomena.
General
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