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does converge for all square matrices A. It de nes the exponential function of the matrix A. This de nition is suf cient to prove some elementary properties of the exponential function for matrices, such as e0n In for 0n, the n n zero matrix. eIn eIn for In, the n n identity matrix. T T eA eA . d=dt eAt AeAt eAt A. The exponential of a skew-symmetric matrix is an orthogonal matrix. The characteristic vectors of A are also the characteristic vectors of eA . If l is a characteristic value of A, then el is a characteristic value of eA .

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The client for URLs application (curl command) provides similar features to wget for transferring files using web and FTP protocols. However, the curl command can also transfer files using other popular protocols, including SSH protocols (SCP and SFTP), LDAP, DICT, Telnet, and File.

If the preflight does not match the conditions of the profile, a report lists the errors in the Preflight window.

Recall Formula 4 at the end of Section 10.3. Var(XY) = Var(X)Var(Y) + [E(X)]2Var(Y) + [E(Y)]2Var(X) whenever X and Y are two independent random variables. Setting X = (P H(G + g) V)M1, Y = Av and applying the above formula gives the following result for Var(W): Var(W) = Var[(P H(G + g) V)M1]Var(Av) + [E(P H(G + g) V)M1)]2Var(Av) + [E(Av)]2Var[(P H(G + g) V)M1] Taking the square root gives the standard deviation, SD(W ) = Var(W ) . Variance in Av adds substantial risk to the portfolio. Referring to the nal results of Example 3, this impacts the effectiveness of hedging. In the following subsection we demonstrate how to reduce the variance of Av through diversi cation. Remarks Minimizing the variance of the output is part of an overall mitigation strategy. Typically, both the earnings from sales of power and the variance of these earnings are low for peaking units. Accordingly, the above standard deviation is low for a peaking unit. Peaking units must earn value from capacity payments and by selling into the ancillary service markets. However, similar to a baseload unit s risk in energy earnings, there is risk to the income from capacity revenues and ancillary service revenues due to unavailability. Returning to the correlation, Corr(W,B), from the end of the previous subsection, one nds that the expression E(Av) SD( W 1) SD(W )

The conditional test is (< radius 0.25). The if-true statement is (princ \nThe radius is less than .25 ). The if-false statement is (princ \nThe radius is not less than .25 ). This IF statement is equivalent to saying, If the radius is less than .25, print The radius is less than .25 but if not, print The radius is not less than .25. You can leave out the if-false statement. In this case, AutoLISP executes the if-true statement if the conditional statement is true and does nothing if it s false, and continues on to the rest of the program. In the following exercise, you see both types of IF statements, one nested inside the other.

The conditions of the north-east Atlantic exemplify the problem This proli c shery was probably the rst in the world to exhibit signs of over shing in the modern era The region has recorded one of the longest periods of sustained decline, production falling from 132 million tonnes in 1976 to 111 million tonnes in 1992, a reduction of 16% (Symes, 1996) The catastrophic erosion of sheries productivity in this region is disturbing given that shery managers have not been able to sustain the stocks despite the extensive expertise and advanced scienti c methodologies that have been made available (Pope, 1982; Sparre, 1994) One of the overwhelming dif culties has been that the managers have found that in practice that it has proved virtually impossible to balance catches with catching power, this despite implementing a capacity reduction process the Multi-annual Guidance Programme (MAGP).

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