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Figure 317 shows the unrolling example of Section 34, where the ow graph of Figure 316(a) is unrolled for three iterations (ie, N = 3) in the underlying code of Example 10 One clearly sees the three distinct kernel task graphs for the three iterations and the three interiteration communications There is no leaving edge from node U in the second iteration, since the potential destination node (in iteration 4) is not part of the computation The same holds for the interiteration communications of the nodes of the third iteration A graph constructed from a ow graph without the attribution of weights to the nodes and edges can be interpreted as the dependence graph re ecting only ow data dependences of the iterative computation This close relationship between task graph and DG was examined earlier More precisely, the DG obtained by unrolling a ow graph is the iteration DG of the computation, comprising only uniform dependence relations Sometimes the unrolling is done only for a fraction of the total number of iterations This partial unrolling, which is suf cient for some purposes (Sandnes and Megson [164], Yang and Fu [208]), has two advantages: (1) the total number of iterations does not need to be known and (2) the size of the unrolled graph, in terms of the number of nodes, is not proportional to the number of iterations However, the resulting graph remains a ow graph; it is not a task graph For this reason, partial unrolling is at times employed as a prestage to the extraction of the iterative kernel as described earlier (eg, Yang and Fu [208]) Projection Iteration DG to Flow Graph The countertechnique to unrolling is the projection of an iteration DG to a ow graph (Kung [109]) Multiple equal nodes of the iteration DG (ie, nodes that represent the same type of task) are projected into one node of the ow graph An illustrative example is the projection of a two-dimensional iteration DG into a ow graph, reducing the iteration DG by one dimension Figure 318 hows such a projection for the two-dimensional iteration DG of Figure 310 along the i-axis, resulting in the depicted ow graph Essentially, the projection is performed by merging all nodes along the projection direction into one node and by transforming the communication edges into new edges with delays A delay substitutes the spatial component of the distance vector of the.

9 n WinForms Controls in Detail. QR Encoder In Visual .Using Barcode printer for .NET Control to generate, create barcode image in NET applications.The simplest controls for providing a way of issuing a command are buttons and menus Typically, we use the ButtonClick event to execute an associated command from a button, although these controls also respond to mouse movements, keypresses, drag and drop and other forms of interaction One useful way to get the most from a Button control is to make it serve wo related and mutually exclusive purposes For example, a single button can be used to start and stop a Timer control When the timer is currently stopped, the button caption will only be sensible if it says start Similarly, once the timer has started, a suitable caption is stop The coding for this is simple and is given in Listing 912.Related: EAN-13 Generation .NET , .NET EAN 128 Generation , UPC-A Generating .NET

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Think small: Composed Methods are rarely more than ten lines of code and are usually about five lines Remove duplication and dead code: Reduce the amount of code in the method by getting rid of blatant and/or subtle code duplication or code that isn't being used Communicate intention: Name your variables, methods, and parameters clearly so they communicate their purposes (eg, public void addChildTo(Node parent)) Simplify: Transform your code so it's as simple as possible Do this by questioning how you've coded something and by experimenting with alternatives Use the same level of detail: When you break up one method into chunks of behavior, make the chunks operate at similar levels of detail For example, if you have a piece of detailed conditional logic mixed in with some high-level method calls, you have code at different levels of detail Push the detail down into a well-named method, at the same level of detail as the ther methods in the Composed Method. Make Code 128A In Visual C# Using Barcode generator for .Related: .NET Codabar Generating , Generate ITF-14 .NET , Create Interleaved 2 of 5 .NET

Cauchy Mutation In the fast EP, Yao et al [934, 936] showed that mutation step sizes sampled from a Cauchy distribution result in better performance than sampling from a Gaussian distribution This is mainly due to the fact that the Cauchy distribution has more of its probability in the tails of the distribution, resulting in an increased probability of large mutation step sizes (therefore, better exploration) Stacey et al [808] applied the EP Cauchy mutation operator to PSO Given that nx is the dimension of particles, each dimension is mutated ith a probability of 1/nx If a component xij (t) is selected for mutation, the mutation step size, xij (t), is sampled from a Cauchy distribution with probability density function given by equation (1110). a probability of 1/nx If a component xij (t . 5 Industrial Creation In .NET Using Barcode encoder for .Related: Intelligent Mail Generating .NET

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3 we describe in detail the basic encoding techniques upon which network coding is based Section 44 deals speci cally with network coding, describing its operations and discussing its applications to multihop ad hoc networks Finally, Section 45 draws conclusions and highlights open issues of this eld A real breakthrough in this eld was achieved in 1948 when Claude Shannon [ 21] demonstrated that by ef ciently coding messages at he sender before transmission and conversely decoding (possibly corrupted) messages that arrive at the receiver, it is possible to repair the effects of a noisy channel The decoding system acts on the corrupted messages and strives to reconstruct the original messages Encoding of data is equivalent to adding some redundancy to transmission, so the encoded data that are transmitted (ie, the code) store the information that has originally been produced at the source more robustly.

FIGURE 12-6 OrgChartTreeCellRenderer. Make Denso QR ./** * Calculate the size required as the sum of the icon and * the TreeCell * * @return the combined size of the icon and TreeCell */ public Dimension getPreferredSize() { Dimension iconD = _icongetPreferredSize(); Dimension cellD = _cellgetPreferredSize(); int height = Mathmax( iconDheight, cellDheight ); return new Dimension(iconDwidth + cellDwidth height); }. Create Barcode In Java Using Barcode .Related: 

Much of the code we write doesn't start out being simple To make it simple we must reflect on what isn't simple about it and continually ask, "How could it be simpler " We can often simplify code by considering a completely different solution The refactorings in this chapter present different solutions for simplifying methods, state transitions, and tree structures Compose Method (123) is about producing methods that efficiently communicate what they do and how they do what they do A Composed Method [Beck, SBPP] consists of calls to well-named methods that are all at the same level of detail If you want to keep your system simple, endeavor to apply Compose Method (123) everywhere Algorithms often become complex as they begin to support many variations Replace Conditional Logic with Strategy (129) shows how to simplify algorithms by breaking them up into separate classes Of course, if your algorithm isn't sufficiently complicated to justify a Strategy [DP], refactoring to one will only complicate your design You probably won't refactor to a Decorator [DP] frequently Yet it is a great simplification tool for a certain situation: when you have too much special-case or embellishment logic in a class Move Embellishment to Decorator (144) describes how to identify when you really need a Decorator and then shows how to separate embellishments from the core responsibility of a class Logic for controlling state transitions is notorious for becoming complex This is especially true as you add more and more state transitions to a class The refactoring Replace State-Altering Conditionals with State (166) describes how to drastically simplify complex state transition logic and helps you determine whether your logic is complex enough to require a State [DP] implementation Replace Implicit Tree with Composite (178) is a refactoring that targets the complexity of building and working with tree structures It shows how a Composite [DP] can simplify a client's creation and interaction with a tree structure The Command pattern [DP] is useful for simplifying certain types of code The refactoringReplace Conditional Dispatcher with Command (191) shows how this pattern can completely simplify a switch statement that controls which chunk of behavior to execute.

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