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(9.2.35)

7

After C(p) is obtained, H(p) can be computed from (9.2.32). The pair distribution function g(r) is given by

eip 'r H(p)

(9.2.36)

dp pH(p) Jo (pbx)

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In summary, object binding is the process of binding control properties directly to properties of your business objects For example, you could bind the Text property of a TextBox control to the ProductName property of a Product business object When the form is displayed, the runtime automatically displays the value of the ProductName property in the TextBox And if the user changes the text in the TextBox control, the runtime modi es the ProductName property accordingly This saves you from writing the code required to transfer data back and forth between the controls on the user interface and the business object properties Visual Studio provides design-time tools for working with your business objects as data sources for your user interface, making it easy to bind each control to its associated business object property The only requirement for your business objects to work with these tools is that the business object class needs at least one public property No speci c constructors, interfaces, or attributes are needed

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(9.2.37)

In Figs. 9.2.1, 9.2.2, and 9.2.3, we compare the results of the pair distribution functions from the Monte Carlo simulations and the analytic Percus-Yevick approximation for fractional volumes of 10%, 30%, and 50%, respectively. A total of 200 cylinders are used in the simulations. The number of passes N pass , the displacement ~, and the number of realizations used are given in the figure captions. Monte Carlo simulations agree well with the approximate PY pair distribution functions. 2.5 Monte Carlo Simulations of Sticky Disks In order to capture the finite binding probabilities of adhesive disk pairs, Seaton and Glandt [1986] have developed new methods which allow the change of a sticky disk's number of bonds with other disks during its Monte

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~1.5

0 000 0 00 0 0 0 0

Figure 9.2.1 Pair distribution function for cylinders with f = 0.1. Results from the Monte Carlo (MC) simulations are obtained using 200 cylinders with b. = 0.020 (b = 0.025), N pass = 2000, and N r = 50. Results of Percus-Yevick (PY) approximation are also shown.

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Don t confuse the term object binding with the more generalized term data binding Data binding is the broad term for binding control properties to data from any data source Object binding is just one type of data binding Some common types of data binding are as follows:

Figure 9.2.2 Pair distribution function for cylinders with f = 0.3. Results from the Monte Carlo (MC) simulations are obtained using 200 cylinders with b. = 0.015 (b = 0.044), N pass = 2000, and N r = 50. Results of Percus-Yevick (PY) approximation are also shown.

~1.5

Figure 9.2.3 Pair distribution function for cylinders with f = 0.5. Results from the Monte Carlo (MC) simulations are obtained using 200 cylinders with b. = .023 (b = 0.056), N pass = 1000, and N r = 10. Results of Percus-Yevick (PY) approximation are also shown.

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