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CSS provides three different relative-based measurement systems for sizing text: em, ex, and percentage (%). All three assume that a specific font size has been declared for the parent or containing tag; if no specific font size is defined, the default setting of the parent s font size is used for comparison. A font-size of 1em is equivalent to whatever the containing tag s font-size is; for example, if the containing <div> tag has a font-size of 20px, a selector with a font-size set to 1.2em is rendered as 24px because 20 times 1.2 is equal to 24. Percentage measurements work exactly the same way as em measurements; 1.2% is the same as 1.2em. The ex measurement, however, is quite different. Short for x-height, the ex measurement system is based on the height of a lowercase x in the current font. Character heights vary quite substantially from one font to another: At 72 pixels, an x in Times is about 32px high whereas in Arial, it s almost 40px. Because of the widely varying differences, the ex measurement system is rarely used. There are seven font-size keywords, which correspond to the HTML size attribute values 1 7. The two are similar in that both rely on the browser for final size interpretation, and the sizes for both are relative to each other, as shown in Figure 8-15. CSS specifications include two additional keywords: larger and smaller. These relative-based keywords are obviously intended to be used in relation to the current font size. For example, in a <div> where the font-size value is 10px, any text whose font-size value is larger would be rendered at about 12px, whereas a smaller value would display text at 8px.

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tive approach that is also widely used in modelling heat transfer in buildings is to solve the PDE using numerical methods, such as the Finite Difference Method and the Finite Element Method Since it is comparatively simpler to formulate a building heat transfer model based on the Finite Difference Method than the Finite Element Method, and the former is adopted in most building energy simulation programmes that are based on numerical methods, only the application of the Finite Difference Method to solving the one-dimensional heat conduction equation is described here.

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P T = 0..3 BUFF = (in[i:T~->out[i]-~BUFF),

r(0)

The Finite Difference Method for solving a differential equation is based on the assumption that when the spatial domain is divided into a nite number of slices (subdivisions), and the temporal domain into nite time steps, at a particular time step, the state of the material, here the temperature, within each slice can be represented by the state at one point, referred to as a node; for instance a point on the mid-plane within the slice Also, the variation of the state between each pair of adjoining slices is assumed to be linear, as shown in Fig 21 Various methods can be used to derive the nite difference equations for describing the time evolution of the nodal temperatures In the following, the energy balance approach is adopted, as it is a simple and direct method that is easily comprehensible from basic heat transfer considerations for each subdivision.

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14. If another such representation with coefficients kj would also hold, subtraction would give (cj kj)aj 0; hence cj k j 0 because of the linear independence of the basis vectors. This proves the uniqueness. 16. x1 x2 18. x1 x2 x3 20. x1 x2 x3 0.50y1 0.25y1 0.25y2 0.5y1 1.5y1 4y1 y2 0.5y2 2.5y2 2y3 4y3 5y3 0.50y2 0.25y3 0.25y3

Input: S1, S2, . . . , SN,where N = 2t Initialize: L = 0 (the current length of the LFSR)

Let the temperatures at the (i - 1)th, ith and (i + 1)th nodes, which are at the mid-planes of the (i - 1)th, ith and (i + 1)th slices of a homogeneous piece of material, be Ti-1, Ti and Ti+1 respectively, and these slices are of equal thickness Dx, as shown in Fig 22, the temperature gradient between the (i - 1)th and the ith nodes and between the ith and the (i + 1)th nodes are respectively: Ti - Ti -1 T - Ti and i +1 Dx Dx.

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