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This drift is tracked in the data structures named beta and delta of the microscale algorithm of Figure 2. The algorithm of Figure 2 is a simplified microscale model using the Euler method . Other algorithms such as the Gillespie method [ 21 ] and the discrete event method [ 17 ] are also used in practice.
Short title: example derived form Ghostscript examples: Image title: derivative of Ghostscript examples "text_graphic_image.pdf", "alphabet.ps" and "waterfal.ps"
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.
A parameterized macro is a macro that is able to insert given objects into its expansion. This gives the macro some of the power of a function. As a simple example, in the C programming language, this is a typical macro that is not a parameterized macro, i.e., a parameterless macro: #define PI 3.14159
The Smets-Wouters model is one example of the importance of microfoundations as it is regarded as a benchmark model for analysing monetary and fiscal policy. [12] The model offers three main advantages of microfoundations: Microfoundations provides a modelling structure where data may not be very informative.
This example aims to improve the readability of the X macro usage by: Prefix the name of the macro that defines the list with "FOR_". Pass name of the worker macro into the list macro. This both avoids defining an obscurely named macro (X), and alleviates the need to undefine it. Use the syntax for variadic macro arguments "..." in the worker ...
In other words, if for example DoTrace is a tracing macro, WPP will generate a separate macro for each occurrence of DoTrace. The generated trace message macros are disambiguated by file name and line number, and, using various preprocessor tricks, WPP in turn defines the original tracing macro so that it will expand the appropriate trace ...