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*/ public boolean isGameStarted(){ return gameStarted; } /** * Starts a new game of size 3. If a game is * currently under way it notifies any listeners that the existing game * is finishing before notifying them about the new game. */ public void newGame(){ newGame( 3 ); } /** * Starts a new game of the given size. If a game is * currently under way it notifies any listeners that the existing game * is finishing before notifying them about the new game. * * @param size the size of the game, the number of * cells on one side of a game square. */ public void newGame( int size ){ // First some sanity checking. // too small or too big. if( size < 3 || size > 6 ){ size = 3; } // Tell anyone waiting that the game is now over. endGame(); // Figure out the dimensions we need to worry about. // The number of cells is n**2, the number of rows is 2*n+2. cellsPerRow = size; numCells = size * size; numTotals = 2 * size + 2; player1Wins = size * PLAYER_1; player2Wins = size * PLAYER_2; // Initialize the cells and totals. We don t want the board



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Data that you want to import might not be in perfect shape. You might find, for example, that the match between fields in your source and target files isn t as clean as you had hoped or that you don t have access to a supported file format. The procedures outlined in the following sections show you how to solve some of these problems.





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A pitfall is a common, overlooked, unsound way of developing and designing software. The consequences of pitfalls vary: Some are as mild as slightly decreased performance, but some have more severe consequences, like slipping schedules, difficult maintenance, and lack of changeability. Pitfall-strewn code can also be a major problem for new developers. The time it takes for a new developer to become effective is directly related to the cohesiveness of the code. Cohesive code is easy to follow and understand because it flows logically. Code filled with pitfalls is hard to follow because it does not flow logically. The need to avoid pitfalls is paramount. Over time, any application that is being used will have bugs that need to be fixed and new features that need to be added, and thus it will require maintenance. The fewer pitfalls that are in the design and code, the easier this maintenance will be to perform. To illustrate this principal, imagine a shopping cart application. The application has browse, add products, checkout, and ship functionality. Over time, customers might request more functionality, such as the ability to search the product catalog. If some of the code to implement the search functionality is in the StrutsAction classes and some of the code is in a business tier object such as a JavaBean or an EJB, adding the new search functionality will be more difficult than if the original code is contained solely in the business tier. Oddly, pitfalls rarely keep systems from working. An application can be riddled with pitfalls and still not have a problem functioning early on, but

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<HTML> <HEAD> <META http-equiv= Content-Type content= text/html; charset=iso-8859-1 > </HEAD> <BODY> ... </BODY> </HTML>

7.7.4.3. Evaluation of the linearity To evaluate the linearity on the studied domain of measurement, n measurements are to be repeated at k levels of the quantity, then the calibration line will be estimated by the method of least squares. The deviations from the line are calculated (deviation between the value experimentally obtained and the value obtained by the model); these deviations are then tested by comparing them to the repeatability to determine whether they are significant. The following equation can be used as an uncertainty component related to the lack of linearity. In this equation, the maximal residual constitutes the largest deviation between the experimental points y and the modeled points y, by the calibration curve drawn by the method of the least squares:

where A, is the electron loss area and rn is the electron mass. Since ambipolar ion and electron flow to the wall was assumed, equate Eqs. (4.2-1) and (4.2-1 1) and use for the ion acoustic velocity to give the plasma potential relative to the wall:

FIGure 9-18 The Horizontal Rule Property inspector controls the width, height, and alignment for these HTML lines.

From the Feynman rules for e-p- -+ e-p- we find that the spin-averaged, squared matrix element is proportional to the complete contraction of two leptonic tensors:

Here we set up an iteration of the array of CEPROPVAL structures. We use the HIWORD macro to recover the property ID from the propid member. The property ID is formatted and inserted in the list box.

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