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The attribute s name can be de ned with or without the Attribute suf x; either Obsolete or ObsoleteAttribute can be used Your coding standards may de ne that the suf x is included for clarity or not included for brevity Either way, be consistent with all attributes Some attributes, such as the Obsolete attribute, have parameters The rst parameter in this case is a message to any developer using your obsolete method, and the second parameter is an error ag This message appears in the Error List window (see Figure 53) as a warning if the second parameter is False, or as an error if the second parameter is True This gives the developer using the method a warning or error, depending on your standard method obsolescence path

To derive Stokes's theorem, consider the line integral of a vector field F through an infinitesimal square. Taking Cartesian coordinates oriented as in Figure E.3, we

+ dy, z) dx -

Figure 53 When you de ne a property or method as obsolete, any developer using the method knows that the property or method is on the obsolescence path

(E.27)

When used to best advantage, exceptions can improve a program's readability, reliability, and maintainability When used improperly, they can have the opposite effect This chapter provides guidelines for using exceptions effectively

Assuming thatF is differentiable, we can expand Fx(x, y+dy, z) and Fy(x+dx, y, z) in a Taylor series about x, y, z up to first order in dy and dx, respectively. Then

5

(E.28)

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As with Gauss's theorem, Stokes's theorem is obtained by adding up all the infinitesimal area elements that make up a finite surface S. Contributions from adjacent line segments will cancel, leaving only the contribution from the line integral along the edge of the surface:

De ne a standard obsolescence plan for your application This plan de nes when properties and methods are made obsolete, how long they should be obsolete in a warning mode, and at what point they should be marked with a compile-time error This provides a phased approach to modifying your application

(E.29)

As for the divergence theorem, we can easily derive other integral theorems from (E.29). Letting F = e/, where e is an arbitrary constant vector, we find a gradient version of Stokes's theorem,

To implement an interface in a class, use the Implements keyword For example, if the TimeSheetWin class implements the IMDIChild interface, it would look like this:

Someday, if you are unlucky, you may stumble across a piece of code that looks something like this:

dSAV /=

Each form that implements this interface must provide an implementation for all three of the interface methods See 4 for more information on implementing an interface

(E.30)

(E.3l)

1

Cavity Quantum Electrodynamics: The Strange Theory of Light in a Box Sergio M. Dutra Copyright 2005 John Wiley & Sons, Inc.

Is this nonsense . . . Not at all . ... We have to note that if Q is any function of the time, then (8/8t)Q is its rate of increase. If, then, as in the present case, Q is zero before and constant after t = 0, (8/8t)Q is zero except when t = O. It is then infinite. But its total amount is Q. That is to say, (8/8t)(}(t) means a function oft which is wholly concentrated at the moment t = 0, of total amount 1. It is impulsive, so to speak. The idea of an impulse is well known in mechanics, and it is essentially the same here . ... the function (8/8t)O(t) ... involves only the ordinary ideas of differentiation and integration pushed to their limit. -Oliver Heaviside [281]

Implementing an interface allows a class to be more formal about the behavior it promises to provide Interfaces form a contract between the class and the rest of the application, and the compiler enforces this contract If your class claims to implement an interface, all methods de ned by that interface must be implemented before the class successfully compiles

// Horrible abuse of exceptions Don't ever do this! try { int i = 0; while(true) a[i++]f(); } catch(ArrayIndexOutOfBoundsException e) { }

Most physics books have either a superficial non rigorous introduction to this subject, or a very rigorous mathematical treatment. The former often leaves readers

pray to many pitfalls. The latter is often difficult to follow, leaving readers when doing practical calculations to work out for themselves how to connect to their real needs the abstract theorems proved. This appendix intends to be different. Here we present a number of nonrigorous physicist-type derivations that connect together many key results regarding delta functions, step functions, principal parts, and their various representations. But rather than presenting only a superficial treatment, our aim is to guide the reader through a number of subtleties and pitfalls that often arise in real calculations involving these generalized "functions." This appendix is a "bag of tools" that, to the best of our knowledge, could so far only be found scattered in the literature.

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