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>>> re.compile(r \w+ ).findall( the larch ) # Greedy matching [ the , larch ] >>> re.compile(r \w+ ).findall( the larch ) # Nongreedy [ t , h , e , l , a , r , c , h ]

[0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0]

So far you have learned how to serve dynamic web pages that are controlled by Spring MVC. However, you still didn t get to see any photo albums. You have yet to see the part of the user interface that creates them. In this section you learn how to use web forms to obtain information from the user so that albums can be added to the application. Providing the ability to capture user data is critical for most dynamic web applications. Users often need to register for a user account in order to access certain sections of a site, or fill out forms so that an online purchase order can be processed. Whatever site you re building, chances are you will want to capture user data. The PIX sample application demonstrates the use of several forms, including a user registration and login screen, a form to create a new photo album, and a three-page form to create new photo albums. In this section you will learn how to set up basic forms that allow users to create photo albums. In the next chapter you will learn how to upload pictures to a photo album using a three-step process.

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An exclamation point now appears next to the parameter. This exclamation point alerts you that you have not yet added an action to the parameter. Most parameters require an action to function properly. Figure 18-16 shows a chair with a linear parameter.

The CHAMFER command creates corners from two nonparallel lines. You can also chamfer xlines, rays, and polylines. You can simply extend the lines to meet at an intersection (a square corner), or create a beveled edge. If you create a beveled edge, you define the edge by either two distances or one distance and an angle relative to the first line that you re chamfering. Figure 10-29 shows the elements of a chamfered corner.

Open the In & Out Links palette and select the error-containing page for inspection. Look for any links going in or out that are blank and have the words (Empty Reference!) or that have a question mark instead of a page or file name (see Figure 11-25).

Large-scale studies have demonstrated that obesity (and even overweight) increases the risk of developing several forms of cancer, including several that are not classically viewed as hormonedependent (Table 13.6). In both men and women, increasing BMI is signi cantly associated with higher death rates from cancers of the oesophagus, colon and rectum, liver, gall bladder, pancreas and kidney, as well as non-Hodgkin lymphoma and multiple myeloma. In addition, men are at increased risk of dying from stomach and prostate cancer, and women from cancers of the breast, uterus, cervix and ovary (Calle et al., 2003). The associations between obesity and particular malignancies may be affected by body fat distribution, and may result from diverse factors including diet and abnormal levels of hormones and in ammatory cytokines (Calle and Kaaks, 2004).

Equations (112) are homogeneous linear systems of n equations in n unknowns Since x = 0 is never an eigenvector, an eigenvector x must be a nontrivial solution to (112) An n n homogeneous linear system has a nonzero (ie, nontrivial) solution iff the coef cient matrix is singular Immediately, eigenvalue satis es det(A I ) = 0, or equivalently det( I A) = 0 (113b) Of course, p( ) = det( I A) is a polynomial of degree n In principle, we may nd eigenpairs by nding p( ) (the characteristic polynomial of A), then nding the zeros of p( ), and then substituting these into (112) to nd x In practice this approach really works only for small analytical examples Properly conceived numerical methods are needed to determine eigenpairs reliably for larger matrices A.