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Maple is a comprehensive symbolic mathematics application which is
well suited for demonstrating physical science topics and solving
associated problems. Because Maple is such a rich application, it
has a somewhat steep learning curve. Most existing texts
concentrate on mathematics; the Maple help facility is too detailed
and lacks physical science examples, many Maple-related websites
are out of date giving readers information on older Maple versions.
This book records the author's journey of discovery; he was
familiar with SMath but not with Maple and set out to learn the
more advanced application. It leads readers through the basic Maple
features with physical science worked examples, giving them a firm
base on which to build if more complex features interest them.
This book demonstrates some of the ways in which Microsoft Excel
(R) may be used to solve numerical problems in the field of
physics.
This book is both an introduction and a demonstration of how Visual
Basic for Applications (VBA) can greatly enhance Microsoft Excel
(R) by giving users the ability to create their own functions
within a worksheet and to create subroutines to perform repetitive
actions. The book is written so readers are encouraged to
experiment with VBA programming with examples using fairly simple
physics or non-complicated mathematics such as root finding and
numerical integration. Tested Excel (R) workbooks are available for
each chapter and there is nothing to buy or install.
Maple is a comprehensive symbolic mathematics application which is
well suited for demonstrating physical science topics and solving
associated problems. Because Maple is such a rich application, it
has a somewhat steep learning curve. Most existing texts
concentrate on mathematics; the Maple help facility is too detailed
and lacks physical science examples, many Maple-related websites
are out of date giving readers information on older Maple versions.
This book records the author's journey of discovery; he was
familiar with SMath but not with Maple and set out to learn the
more advanced application. It leads readers through the basic Maple
features with physical science worked examples, giving them a firm
base on which to build if more complex features interest them.
This book is both an introduction and a demonstration of how Visual
Basic for Applications (VBA) can greatly enhance Microsoft Excel
(R) by giving users the ability to create their own functions
within a worksheet and to create subroutines to perform repetitive
actions. The book is written so readers are encouraged to
experiment with VBA programming with examples using fairly simple
physics or non-complicated mathematics such as root finding and
numerical integration. Tested Excel (R) workbooks are available for
each chapter and there is nothing to buy or install.
This book demonstrates some of the ways in which Microsoft Excel
(R) may be used to solve numerical problems in the field of
physics. But why use Excel in the first place? Certainly, Excel is
never going to out-perform the wonderful symbolic algebra tools
that we have today - Mathematica, Mathcad, Maple, MATLAB, etc.
However, from a pedagogical stance, Excel has the advantage of not
being a 'black box' approach to problem solving. The user must do a
lot more work than just call up a function. The intermediate steps
in a calculation are displayed on the worksheet. Another advantage
is the somewhat less steep learning curve. This book shows Excel in
action in various areas within physics. Some Visual Basic for
Applications (VBA) has been introduced, the purpose here is to show
how the power of Excel can be greatly extended and hopefully to
whet the appetite of a few readers to get familiar with the power
of VBA. Those with programming experience in any other language
should be able to follow the code.
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