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where AC is the atomic weight of carbon, and so on. The atomic volume is involved in many property correlations (and thus is crucial for checking and estimating properties) and, together with the density, it gives the atomic weight. The average relative weight of the atoms of an element referred to an arbitrary standard of 16.0000 for the atomic weight of oxygen. The atomic weight scale used by chemists takes 16.0000 as the average atomic weight of oxygen atoms as they occur in nature. The scale used by physicists takes 16.00435 as the atomic weight of the most abundant oxygen isotope. Division by the factor 1.000272 converts an atomic weight on the physicists scale to the corresponding atomic weight on the chemists scale. See also atomic number. The temperature at which the vapor pressure of a liquid is equal to the atmospheric pressure. The normal boiling point is the boiling point at normal atmospheric pressure (101.325 kPa). Half the distance between the nuclei of two identical atoms when they are joined by a single covalent bond. Mass per unit volume of a substance at 300 K. Characterizes the conduction capacity (electrical and thermal) of a substance. Electrical conductivity is expressed in siemens per unit of length. Electronic or ionic conduction is the phenomenon by which an electron or an ion moves in a material. (Sideline: Thermal conduction is the phenomenon by which, in a given medium, heat

2. From the drop-down list, choose Save As. Enter a name for the new file in the Save As dialog box. Make sure that you use a name that is different from all other CUI files.

Building the Graph In fact, a simple solution presents itself: We rst add P zero-weighted vertices to the graph, {v1 , . . . , vP }, one for each subdomain, which we refer to as subdomain vertices. We then attach every ordinary vertex v to its home subdomain vertex using a weighted edge (v, vp ), where v is in subdomain Sp in the initial partition. The weight on these edges will re ect in some way how much we wish to restrict vertex migration. We refer to this new graph, an augmented version of the original, as the inertia graph, G(V , E), so called because it encourages an inertia against vertex migration. Here, the number of vertices is given by |V | = |V | + P and since we add one edge for every existing vertex, the number of edges is given by |E| = |V | + |E|. Figure 17.5a shows an example of a small partitioned graph and Figure 17.5b the corresponding inertia graph. Figure 17.5c and d then shows the rst and second coarsenings of this graph. A number of nonlocal matchings, indicated by a coarsened vertex having edges to two (or potentially more) subdomain vertices, can be seen in both of these gures, for example, center top of Figure 17.5d.

So far, you ve learned that PHP lets you create dynamic Web pages, and you ve explored some fundamental language concepts such as variables, data types, operators, expressions, and constants. However, all the scripts you ve written have worked in a linear fashion: the PHP engine starts at the first line of the script, and works its way down until it reaches the end. Things get a lot more interesting when you start introducing decisions and loops. A decision lets you run either one section of code or another, based on the results of a specific test. Meanwhile, a loop lets you run the same section of code over and over again until a specific condition is met. By using decisions and loops, you add a lot of power to your scripts, and you can make them truly dynamic. Now you can display different page content to your visitors based on where they live, or what buttons they ve clicked on your form, or whether or not they re logged in to your site. In this chapter you explore the various ways that you can write decision-making and looping code in PHP. You learn about: Making decisions with the if, else, and switch statements Writing compact decision code with the ternary operator Looping with the do, while, and for statements Altering loops with the break and continue statements Nesting loops inside each other Using decisions and looping to display HTML

Tip You can customize these colors by choosing Tools Options from the Visual Basic menu and then choosing the Editor Format tab. Choose a type of text and then choose the desired color. Click OK.

This case study concerns an assessment of a large capital investment in the pre-approval stage for a major resources company The project consists of a complex processing plant that converts feed stock (dirt with valuable impurities!) to a value-added product, with associated supplies and services The objectives of the risk assessment were to identify the key factors that could affect the profitability of the plant, and to determine the key sensitivities It differs from the cases in previous chapters in that it involved not only capital costs, but also operating costs and revenues through what was expected to be a long life for the new asset The initial criteria for the decision to proceed with the project were the pre-tax NPV of the investment and its ROR.