Write a query to display the buyer number, material id, material name, purchase date, current purchase total, total of all purchases by that buyer, and the percentage of the total of all purchases by that buyer that is represented by the current purchase. The current purchase is the purchase quantity multiplied by the purchase price for that purchase. The total of all purchases is the sum of adding up all purchases (quantity multiplied by price) made by that buyer. The percentage of the total of all purchases by that buyer that is represented by the current purchase is calculated at the current purchase divided by the total of all purchases by that buyer multiplied by 100. Sort the result by the total of all purchases for each buyer in descending order, then by the buyer number in ascending order, then by the current purchase in descending order. For example, the first row of output shows that buyer 480 purchased material 289, which is Scrap Iron, on April 22, 2019. The total cost of that purchase was $472,350. All purchases in the history of buyer 480 is $1,689,466. The current p

Plz ( which is an example of a good url?

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?

What are "open-loop" and "closed-loop" systems