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This handbook introduces the reader to the field of terrorism
investigation. Describing how terrorists operate and how they
differ from other criminals, it provides an outline of how
terrorism investigations should be conducted. By helping
investigators to develop skills and knowledge, this guide helps
them to prepare prosecutable cases against terrorists.
* Not only does provides easy-to-follow directions with respect
to what to do, but also on what NOT to do in response to terrorism
attacks * Pedagogy includes key terms and concepts, chapter
summaries, and "real-world" example boxes throughout the text *
Equipped with a superior ancillary package
Finding the sources of noise generation in a turbofan propulsion
system requires a computational tool that has sufficient fidelity
to simulate steep gradients in the flow field and sufficient
efficiency to run on today's computer systems. The goal of this
dissertation was to develop an automated code generator for the
creation of Software that numerically solves the linearized Euler
equations on Cartesian grids in three dimensional spatial domains
containing bodies with complex shapes. It is based upon the
recently developed Modified Expansion Solution Approximation (MESA)
series of explicit finite-difference schemes that provide
spectral-like resolution with extraordinary efficiency. The
accuracy of these methods can, in theory, be arbitrarily high in
both space and time, without the significant inefficiencies of
Runge-Kutta based schemes. The complexity of coding these schemes
was, however. very high, resulting in code that could not compile
or took so long to write in FORTRAN that they were rendered
impractical. Therefore, a tool in Mathematica was developed that
could automatically code the MESA schemes into FORTRAN and the MESA
schemes themselves were reformulated into a very simple form,
making them practical to use without automation or very powerful
with it. A method for automatically creating the MESA propagation
schemes and their FORTRAN code in two and three spatial dimensions,
is shown with up to 29th order accuracy in space and time. Also, a
method for treating solid wall boundaries in two dimensions is
shown with up to 11th order accuracy on grid aligned boundaries and
with up to 2nd order accuracy on generalized boundaries. Finally,
an automated method for parallelizing these approaches on large
scale parallel computers with near perfect scalability is
presented.
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