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These include automatic variable step size selection in modern codes, the discussion of the Runge Kutta Fehlberg method, backward Euler s method and its application to stiff ODEs, and the extension of Euler and Runge Kutta methods to systems and higher order equations. SECTION 21.1. Methods for First-Order ODEs, page 886 Purpose. To explain three numerical methods for solving initial value problems y (x, y), y(x0) y0 by stepwise computing approximations to the solution at x1 x0 h, x2 x0 2h, etc. Main Content, Important Concepts Euler s method (3) Automatic variable step size selection Improved Euler method (8), Table 21.2 Classical Runge Kutta method (Table 21.4) Error and step size control Runge Kutta Fehlberg method Backward Euler s method Stiff ODEs Comments on Content Euler s method is good for explaining the principle but is too crude to be of practical value. The improved Euler method is a simple case of a predictor corrector method. The classical Runge Kutta method is of order h4 and is of great practical importance. Principles for a good choice of h are important in any method. in the equation must be such that the problem has a unique solution (see Sec. 1.7). SOLUTIONS TO PROBLEM SET 21.1, page 897 2. y e x. Computed values are

information on actual cost of work performed: $500 BCWP tells us that we have done $700 worth of work, and ACWP tells us that it has cost us $500 to do so Clearly, we are $200 (BCWP minus ACWP) ahead of the game for that portion of the work already carried out That is, we have a positive budget variance of $200 Does this mean the project is in good shape We cannot be fully sure until we have examined schedule information In the earned-value approach, schedule variance is de ned as BCWP minus BCWS Note that schedule variance is here being interpreted in monetary terms We are looking at the difference between the work we planned to do and what we have actually done, valued according to our original budget estimates Let s look at the example again to clarify the concept of schedule variance.

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What if you have several items of registry data under a key You could add a named value for each item, but that approach would use a lot of space to store the value names and require a registry access to get or set each value. If your data are all strings, you can use the REG_MULTI_SZ type, and combine all of the strings into a single named value. If the data are of mixed type, consider aggregating them and storing them in a single binary valued key. Your application can retrieve the array in a single registry access and parse them

Because we budgeted $1,000 worth of work but performed only $700 worth of work, the dollar value of the schedule slippage is $300 ($700 $1,000) That is, we have yet to complete $300 worth of work that we were supposed to have completed Considering both budget and schedule variances together, we nd ourselves in the following situation We have slipped our schedule; although the task should have been completed by November 1, $300 worth of work remains to be carried out as of that date Looking at the work we have completed ($700 worth), we nd that it has cost us only $500 to undertake this work, suggesting a cost savings to date of $200 However, this savings is to a certain extent misleading, because the schedule has slipped substantially Had we dedicated more resources to the task, perhaps we could have avoided the schedule slippage.

Identify Go\l and the elements of [Co/C1]. Write down the generator 60/1 for the code Coil. Write down the generator 6 1/2 for the code C112. Write down the generator 60/1/2 for the code Co/1/2.

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International IT Regulations and Compliance: Quality Standards in the Pharmaceutical and Regulated Industries Siri H. Segalstad C 2008 John Wiley & Sons, Ltd

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Figure 8.2 AH service (Transport mode) [see also RFC 2402; Murhammer et al., 19991

In fact, to nish the job, we may have to spend more money than planned, leading ultimately to a cost overrun for the project The perceptive reader will have noted a fundamental weakness in the earned-value technique In order to calculate BCWP, it is necessary to know what percentage of a task has been completed If a task has not yet begun, we have no trouble saying that 0 percent of the task has been completed, and if the task is nished, it is obviously 100 percent completed However, we walk on treacherous ground when we try to estimate how much of a task has been completed for anything between those two extremes.