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Advances in Interdisciplinary Mathematical Research - Applications to Engineering, Physical and Life Sciences (Paperback, 2013 ed.)
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Advances in Interdisciplinary Mathematical Research - Applications to Engineering, Physical and Life Sciences (Paperback, 2013 ed.)
Series: Springer Proceedings in Mathematics & Statistics, 37
Expected to ship within 10 - 15 working days
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This volume contains the invited contributions to the Spring 2012
seminar series at Virginia State University on Mathematical
Sciences and Applications. It is a thematic continuation of work
presented in Volume 24 of the Springer Proceedings in Mathematics
& Statistics series. Contributors present their own work as
leading researchers to advance their specific fields and induce a
genuine interdisciplinary interaction. Thus all articles therein
are selective, self-contained, and are pedagogically exposed to
foster student interest in science, technology, engineering and
mathematics, stimulate graduate and undergraduate research, as well
as collaboration between researchers from different areas. The
volume features new advances in mathematical research and its
applications: anti-periodicity; almost stochastic difference
equations; absolute and conditional stability in delayed equations;
gamma-convergence and applications to block copolymer morphology;
the dynamics of collision and near-collision in celestial
mechanics; almost and pseudo-almost limit cycles; rainbows in
spheres and connections to ray, wave and potential scattering
theory; null-controllability of the heat equation with constraints;
optimal control for systems subjected to null-controllability; the
Galerkin method for heat transfer in closed channels; wavelet
transforms for real-time noise cancellation; signal, image
processing and machine learning in medicine and biology;
methodology for research on durability, reliability, damage
tolerance of aerospace materials and structures at NASA Langley
Research Center. The volume is suitable and valuable for
mathematicians, scientists and research students in a variety of
interdisciplinary fields, namely physical and life sciences,
engineering and technology including structures and materials
sciences, computer science for signal, image processing and machine
learning in medicine.
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