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Books > Computing & IT > Applications of computing > Artificial intelligence
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Importance Sampling - Applications in Communications and Detection (Paperback, Softcover reprint of hardcover 1st ed. 2002)
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Importance Sampling - Applications in Communications and Detection (Paperback, Softcover reprint of hardcover 1st ed. 2002)
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This research monograph deals with fast stochastic simulation based
on im portance sampling (IS) principles and some of its
applications. It is in large part devoted to an adaptive form of IS
that has proved to be effective in appli cations that involve the
estimation of probabilities of rare events. Rare events are often
encountered in scientific and engineering processes. Their charac
terization is especially important as their occurrence can have
catastrophic consequences of varying proportions. Examples range
from fracture due to material fatigue in engineering structures to
exceedance of dangerous levels during river water floods to false
target declarations in radar systems. Fast simulation using IS is
essentially a forced Monte Carlo procedure designed to hasten the
occurrence of rare events. Development of this simu lation method
of analysis of scientific phenomena is usually attributed to the
mathematician von Neumann, and others. Since its inception, MC
simula tion has found a wide range of employment, from statistical
thermodynamics in disordered systems to the analysis and design of
engineering structures characterized by high complexity. Indeed,
whenever an engineering problem is analytically intractable (which
is often the case) and a solution by nu merical techniques
prohibitively expensive computationally, a last resort to determine
the input-output characteristics of, or states within, a system is
to carry out a simulation."
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