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ladessa [460]
2 years ago
7

An aggregate function is _____. A. a function that calculates a statistic such as a subtotal or average B. a mathematical expres

sion, such as [Qty]*[UnitsSold] C. a way to group records, such as by state or postal code D. a way to test the accuracy of data
Computers and Technology
1 answer:
Murrr4er [49]2 years ago
6 0

Answer:

  • A. a function that calculates a statistic such as a subtotal or average.

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Record types.

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3 years ago
What does NOT match with Agile Manifesto?
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Answer:

yes

Explanation:

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Given non-negative integers x and n, x taken to the nth power can be defined as: x to the 0th power is 1 x to the nth power can
saveliy_v [14]

Answer:

The power function can be written as a recursive function (using Java) as follows:

  1. static int power(int x, int n)
  2. {
  3.        if(n == 0){
  4.            return 1;
  5.        }
  6.        else {
  7.            return power(x, n-1 ) * x;
  8.        }
  9. }

Explanation:

A recursive function is a function that call itself during run time.

Based on the question, we know x to the 0th power is 1. Hence, we can just create a condition if n = 0, return 1 (Line 3 - 5).

Next, we  implement the logic "x to the nth power can be obtained by multiplying x to the n-1'th power with x " from the question with the code:  return power(x, n-1 ) * x in the else block. (Line 6 -8)

In Line 7, power() function will call itself recursively by passing x and n-1 as arguments. Please note the value of n will be reduced by one for every round of recursive call. This recursive call will stop when n = 0.

Just imagine if we call the function as follows:

int result =  power(2,  3);

What happen  will be as follows:

  • run Line 7 -> return power(2, 2) * 2    
  • run Line 7 -> return power(2, 1) * 2
  • run Line 7 -> return power(1, 0) * 2
  • run Line 4 -> return 1    (Recursive call stop here)

Next, the return value from the inner most recursive call will be return to the previous call stack:

  • power(1, 0) * 2   ->   1 * 2
  • power(2, 1) * 2   ->   1 * 2 * 2
  • power(2, 2) * 2   ->   1 * 2 * 2 * 2 - > 8 (final output)  
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3 years ago
Which problem is least likely to be solved through grid computing?.
maxonik [38]

Answer:

Which of the following problems is least likely to be solved through grid computing? Linear problems. Price elasticity refers to: rate at which demand for a product or service fluctuates with price change.

Explanation:

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2 years ago
Finish the program by choosing the correct terms.
juin [17]
What are the exact numbers
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