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Andrews, the same of cials who established and have governed the rules of golf for hundreds of years, would have allowed Toms to continue in the tournament if he had so wanted; according to the rules, he had done nothing wrong But, prompted by a wise of cial who undoubtedly understood, too, that rules have limits, Toms knew that he should not He knows the rules, the cans and cants, and plays within them when they apply But he lives in shoulds His values honesty, obligation to others, leadership, and integrity transcend the rules Rules can t touch the spirit of golf, his love of the game, or the purity of his pursuit of excellence These values keep him focused on higher goals It also strikes me that, as individual a sport as golf is, Toms does not separate his personal success from the larger world in which he exists.

To obtain values at integer time points, the fourth-order Runge-Kutta method was used to nd the numerical solution to the MG equation (9.38). Here, we assume that time step is 0.1. The task is to predict the values from input vectors for any value of the time. For the purpose of a comparative analysis, we list the performance of existing online learning models neural gas (Fritzke, 1995), RAN (Platt, 1991), and DENFIS (Kasabov & Song, 2002) applied for the same task and reported in (Kasabov, 2007). Here, the performance is evaluated in terms of the nondimensional error index (NDEI), which is de ned as the root mean-square error (RMSE) divided by the standard deviation of the target series. In order to obtain the multistep-ahead predictive model, 3000 input-target data between t 201 and 3200 are used as the training data, and another 500 input-target data between t 5001 and 5500 are used as the testing data. The prediction model is given by ^ x t 85 f x t ; x t 6 ; x t 12 ; x t 18 9:39

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He sees himself connected and responsible not just to himself and his self-interest, but to his family, his fans, his fellow competitors, and even to the young person just learning the sport who might be struggling with the easy temptation to cut a few corners and ignore a few putts He knows that, in a transparent world, everything you do is on the record and stays with you throughout your career Toms seems to understand innately that his public and private behavior are inseparable, and that to live any other way is to set up the conditions for dissonance to thrive That internal calm he believes so essential to the constitution of winners is nothing less than consonance, the ability to act in harmony with oneself.

which can be converted by Gaussian elimination (the general form of the process introduced in Example 33) into a matrix of systematic form 1 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 G1 = 1 0 0 0 1 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 where it is seen that the sum of any number of rows results in a codeword with an even number of 1 s The generator polynomial g2 (X ) = 1 + X + X 3 corresponds to a cyclic Hamming code, as introduced in Example 32.

Dissonance creates internal tensions that others can sense and, like the free ow of information in a transparent society, those tensions cannot be fully masked or controlled He stands as a living example that external congruence ows from internal consonance..

where the equivalence of (15.68) and (15.69) follows from the independence of X1 and X2 , and the consequent I (X1 ; X2 , Y ) = I (X1 ; X2 ) + I (X1 ; Y |X2 ) = I (X1 ; Y |X2 ). Similarly, for j = 1, P (E1j ) 2 n(I (X2 ;Y |X1 ) 3 ) , and for i = 1, j = 1, P (Eij ) 2 n(I (X1 ,X2 ;Y ) 4 ) . It follows that

(h) (i) (j) (k)

The generator polynomial g3 (X ) = 1 + X 2 + X 3 is also the generator polynomial of a cyclic Hamming code whose generator matrix in systematic form is equal to 1 0 1 1 0 0 0 1 1 1 0 1 0 0 G3 = 1 1 0 0 0 1 0 0 1 1 0 0 0 1 In this generator matrix, the submatrix P has at least two 1 s in each row, which makes it a generator matrix of a Hamming code Cb (7, 4).

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