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Tau-leaping was originally proposed by Gillespie [37] as an approach to accelerate the inherently slow trajectory generation at the cost of statistical exactness The basic idea is, instead of simulating every reaction, to determine at any time t a time step size by which the simulation is advanced Given the system state (number of molecules of each species) X(t) at time t and the selected step size , the system state X(t ) at time t := t + is approximated Then at time t a new step size is selected and so on until the simulation time has reached the time horizon of interest Hence, if the step sizes are chosen such that many reactions are likely to occur within a time interval [t, t + ), then the trajectory generation becomes signi cantly faster On the other hand, much care must be taken with a proper choice of the time steps in order to avoid too rough an approximation that would result from excessively large time steps Furthermore, the original tau-leaping approach, which is nowadays referred to as explicit tau-leaping, is not suitable for stiff systems, and implicit tau-leaping was proposed in [59] as a modi cation in order to deal particularly with stiffness Recently, in an attempt to combine the advantages of both explicit and implicit tau-leaping, Cao et al [19] invented an adaptive explicit implicit tau-leaping algorithm which we describe in what follows We take a top-down approach starting with the fundamental underlying rationale, after which we successively detail the speci c steps Denote by Km the random variable describing the number of times that a reaction of type Rm occurs in the time interval interval [t, t + ) Then

java data matrix barcode reader

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To use zxing, you just need to create a BufferedImage in your Java program from the PDF. That's a separate question, but should be possible ...

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The output clearly shows that thread 0 apparently has two references to the object on the thread stack How is this possible The way that the GCRoot command works is by assuming that every address on the stack is an address to an object It tries to verify this assumption by utilizing various metadata information In light of this, objects that are (or were) previously present on the stack are treated as first class references to those objects and listed in the output of GCRoot If you suspect that the output of GCRoot, in as far as thread stacks is concerned, is incorrect, the best approach is to use the U command to unassemble the stack frames and correlate the stack registers in the GCRoots output to the unassembled code to see which objects are truly valid

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The garbage collection mechanism described so far assumes that objects that are collected do not require any special cleanup code At times, objects that encapsulate other resources require that these resources be cleaned up as part of object destruction A great example is an object that wraps an underlying native resource such as a file handle Without explicit cleanup code, the memory behind the managed object is cleaned up by the GC, but the underlying handle that the object encapsulates is not (because GC has no special knowledge of native handles) The net result is naturally a resource leak To provide a proper cleanup mechanism, the CLR introduces what is known as finalizers A finalizer can be compared to destructors in the native C++ world Whenever an object is freed (or garbage collected), the destructor (or finalizer) is run In C#, a finalizer is declared very similarly to a C++ destructor by using the ~<class name>() notation An example is shown in the following listing:

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objects we mentioned that is common to all applications that support COM add ns Through the application object, the COM add-in can access the OM of the host application, as we ll show you shortly.

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