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Finite
element analysis
Updated November
4, 2007
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New for August 2007! This
page (and its companions) were contributed by Jackson Jones who
is the proprietor of a new EM software tool company, Principles
of Prediction, which is just getting started. Consider this page
under construction, and come back soon to check on our progress!
Questions are numbered for reference,
please feel free to contact Jackson
Jones by email if you want more information, or have suggestions
for this page!
1. What exactly is a "mesh"
and why does it take so much memory?
A mesh boils down to a finite
set of points in space. The finite set of points defined by a mesh
are the points at which approximate solutions to Maxwell's equations
will be obtained. The distance between points in the mesh must be
small enough that the approximation of a finite h in the formula
for the derivatives is valid. This can take a lot of points and
that is why meshes take up so much memory.
2. Should engineers care what
it means for h to be small?
Yes. In some circumstances engineers
need to be conscientious with the mesh used by a finite element
program. In a sense, the value of h used in the formula for the
derivatives is related to the density of the mesh. Some finite element
software will create a mesh based on a frequency that is input into
the program. If a system is designed to operate across a frequency
band, or at multiple frequency bands, it can make a difference in
both convergence time and accuracy which frequency is chosen for
the mesh. Indeed, convergence at one frequency may not mean that
all frequencies have converged, and because of the way meshes are
created, it can in some instances be faster to mesh at different
frequencies for broadband or multi-band systems rather than meshing
at one frequency and waiting for all the other frequencies to converge.
3. What are "linear algebraic
equations?"
A linear algebraic equation is
an equation in which the unknowns are linear. For example x=7 is
a linear algebraic equation, but x2=7 is not. Linear Algebra is
the study of these types of equations. One can also have a set of
linear algebraic equations in multiple unknowns, such as {x+y=2,
x-y=0}
4. What is the "matrix
form" of linear algebraic equations?
It is a fact of linear algebra
that any set of linear algebraic equations can be written using
matrices and vectors. Generally, the equations take the form Ax=b,
where A is a known matrix, b is a known "solution vector",
and x is a vector representing the unknowns to be solved for. For
example, the set ofequations {x+y=2,x-y=0} can be written in matrix
form as follows:
1 1 x 2
1 -1 y 0
More to come!
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