these laws are well defined and well understood by scientists. This makes it
possible to predict the course of an event before it actually occurs or to
study various aspects of an event mathematically without actually running
expensive and time-consuming experiments. This is where the power of
analysis lies. Very accurate results to meaningful practical problems can be
obtained with relatively little effort by using a suitable and realistic mathematical
model. The preparation of such models requires an adequate knowledge
of the natural phenomena involved and the relevant laws, as well as
sound judgment. An unrealistic model will obviously give inaccurate and
thus unacceptable results.
An analyst working on an engineering problem often finds himself or herself
in a position to make a choice between a very accurate but complex
model, and a simple but not-so-accurate model. The right choice depends on
the situation at hand. The right choice is usually the simplest model that
yields satisfactory results. Also, it is important to consider the actual operating
conditions when selecting equipment.
Preparing very accurate but complex models is usually not so difficult.
But such models are not much use to an analyst if they are very difficult and
time-consuming to solve. At the minimum, the model should reflect the
essential features of the physical problem it represents. There are many significant
real-world problems that can be analyzed with a simple model. But
it should always be kept in mind that the results obtained from an analysis
are at best as accurate as the assumptions made in simplifying the problem.
Therefore, the solution obtained should not be applied to situations for
which the original assumptions do not hold.
A solution that is not quite consistent with the observed nature of the problem
indicates that the mathematical model used is too crude. In that case, a
more realistic model should be prepared by eliminating one or more of the
questionable assumptions. This will result in a more complex problem that,
of course, is more difficult to solve. Thus any solution to a problem should
be interpreted within the context of its formulation.
these laws are well defined and well understood by scientists. This makes it
possible to predict the course of an event before it actually occurs or to
study various aspects of an event mathematically without actually running
expensive and time-consuming experiments. This is where the power of
analysis lies. Very accurate results to meaningful practical problems can be
obtained with relatively little effort by using a suitable and realistic mathematical
model. The preparation of such models requires an adequate knowledge
of the natural phenomena involved and the relevant laws, as well as
sound judgment. An unrealistic model will obviously give inaccurate and
thus unacceptable results.
An analyst working on an engineering problem often finds himself or herself
in a position to make a choice between a very accurate but complex
model, and a simple but not-so-accurate model. The right choice depends on
the situation at hand. The right choice is usually the simplest model that
yields satisfactory results. Also, it is important to consider the actual operating
conditions when selecting equipment.
Preparing very accurate but complex models is usually not so difficult.
But such models are not much use to an analyst if they are very difficult and
time-consuming to solve. At the minimum, the model should reflect the
essential features of the physical problem it represents. There are many significant
real-world problems that can be analyzed with a simple model. But
it should always be kept in mind that the results obtained from an analysis
are at best as accurate as the assumptions made in simplifying the problem.
Therefore, the solution obtained should not be applied to situations for
which the original assumptions do not hold.
A solution that is not quite consistent with the observed nature of the problem
indicates that the mathematical model used is too crude. In that case, a
more realistic model should be prepared by eliminating one or more of the
questionable assumptions. This will result in a more complex problem that,
of course, is more difficult to solve. Thus any solution to a problem should
be interpreted within the context of its formulation.
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