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AutoLISP responds with 5. This syntax of having the operator (the plus sign come before the operands (2 and 3) is very different from that of many languages, but is important to understand in AutoLISP. To nest expressions, simply add another set of parentheses to enclose the nested expression. For example, when you enter (* 5 (+ 2 3)), AutoCAD responds with 25. The nested expression is evaluated from the innermost parenthesis pair out; first two and three are added, and then that sum is multiplied by five. This is the bread and butter of AutoLISP. Working with floating point numbers (numbers with decimal points) is as easy as working with integers. If you type (/ 7.3 5.84) AutoLISP responds with 1.25. net use rdlc report code 128 code set a generator toencode barcode 128 in .Related: 

Figure 71 The concept of edge scheduling in VS NET Draw QR Code n VS NET Figure 71 The concept of edge scheduling QR Code ISO/IEC18004 In NET Using Barcode creator for .

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graph and employing architecture-dependent routing routines, as opposed to MH Unfortunately, they do not elaborate on the edge scheduling technique and how it is integrated into classic scheduling BSA (bubble scheduling and allocation) is another contention aware algorithm that employs edge scheduling and the undirected topology graph (Kwok and Ahmad [114]) While DLS can be regarded as a dynamic list scheduling algorithm (Section 512), BSA s approach is quite different, in that it rst allocates all nodes to one processor Subsequently, nodes are migrated to adjacent processors if bene cial Next, the nodes on the adjacent processors are considered for migration and so on until all processors have been regarded The routing of the communication is done incrementally with each migration of a node BSA has two issues owing to its scheduling strategy, which are analyzed in Sinnen [171] First, edge scheduling is performed with almost no restrictions For example, an edge might be scheduled earlier on a link at the end of its route than on a link at the beginning of the route Obviously, this contradicts causality; hence, it is not a realistic view of the network traf c Effectively, this approach only captures contention at the last link of a route Furthermore, the incremental routing can lead to situations where communications are routed in a circle or even use a link twice Another task scheduling algorithm that features the scheduling of messages is proposed in Dhodhi et al [55] In this genetic algorithm based heuristic each interprocessor communication is scheduled on the connection between the two communicating processors The communication network is not modeled, which consequently implies the assumption of a fully connected system Virtual Processors Contention for (any type of) resources can also be addressed with the virtual processor concept This concept is typically found in the domain of real time system scheduling (Liu [127]) Each resource of such a system is modeled as a virtual processor For interprocessor communication this means that each communication link is a (virtual) communication processor Correspondingly, the task concept is also abstracted, for example, a communication is considered a job that can only be processed on the (virtual) communication processor While this approach is very general, it makes scheduling much more dif cult This is because scheduling has to deal with heterogeneous jobs and heterogeneous (virtual) processors, both in terms of functionality Task scheduling, as discussed in this text, has only to deal with one type of task Processor heterogeneity, as introduced in Section 63, deals with different processing speeds, not functionality Due to this conceptual complexity, scheduling heuristics for virtual processors usually have two phases, one for the mapping of the jobs onto the processors and one for the actual ordering/scheduling of the jobs (see also Section 52) This functional heterogeneity of the virtual processor concept is a crucial shortcoming, as many existing task scheduling algorithms cannot be employed On the other hand, edge scheduling can be integrated into task scheduling with little impact on the general scheduling techniques Algorithms designed for the classic model can be used almost without any modi cation as will be seen later Also, a closer inspection reveals that edge scheduling is in fact similar to the concept of virtual.

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33 Tutorial Step 3b Retrieving Data from the Server .

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