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tatyana61 [14]
3 years ago
12

An optimal solution to a linear programming problem MUST lie A. somewere on the line between two corner points. B. somewhere out

side of the feasible region. C. somewhere in the interior of the feasible region. D. at the intersection of at least two constraints.
Computers and Technology
1 answer:
g100num [7]3 years ago
8 0

Answer:

D. at the intersection of at least two constraints.

Explanation:

Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.

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1981 fue inventado por Bill gates y paul allen
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What's an array in computer science
muminat

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An array is a series of memory locations – or 'boxes' – each of which holds a single item of data, but with each box sharing the same name. All data in an array must be of the same data type.

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Why can i go to discord if my school blocks it-
finlep [7]

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They didn't do it right.

Explanation:

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3 years ago
Display the cost of landscaping a backyard with sod that is sold by the square foot and fencing that is sold by the foot. The in
Ipatiy [6.2K]

Answer:

length = float(input("Enter length of the backyard in foot: "))

width = float(input("Enter width of the backyard in foot: "))

sod_price = float(input("Enter the price of sod per square foot: "))

fencing_price = float(input("Enter the price of fencing per foot: "))

area = length * width

perimeter = 2 * (length + width)

cost = sod_price * area + fencing_price * perimeter

print("The cost of landscaping is $" + str(cost))

Explanation:

*The code is in Python.

Ask the user to enter the length, width, sod_price, and fencing_price

Calculate the area and perimeter of the backyard

Calculate the cost, sod_price * area + fencing_price * perimeter

Print the cost

7 0
4 years ago
Mergesort uses the divide-and-conquer technique to sort a list.<br><br> True<br><br> False
NARA [144]

Answer:

True: Merge Sort sorts a list using divide-conquer approach.

<u>Merge_Sort(B,p,n)</u>  //p is the starting index of array B and n is the last index.

1. if(p<n)

2.        q ← (p+n)/2    //divides the list into two sub-lists

2.        Merge_Sort(B, p, q) //sorts the left half

3.        Merge_Sort(B, q+1, n) //sorts the right half.

4.        Merge(B, p, q, n)

<u>Merge(B, p, q, n)</u>

1.l ← q-p+1.  //no. of elements in left half

2.m ← n-q  //no. of elements in right half.

3.for x ← 1 to l

4.      Left[x] = B[p+x -1] //The elements of left half are copied to Left array

5.for y ← 1 to m.

6.      Right[y]= B[q+y]  //The elements of right half are copied to right array

7. x ← 1, y ←1

8.for z ← p to n.

9.      if( Left[x] ≤ Right[y] ) // to merge the two lists Left and Right, the    //elements are compared.

10.     {   A[z] ← Left[x]   //smaller one comes to the merged list.

11.          x++. }

12.    else

13.      {   A[z] ← Right[y]

14.          y++ }

Explanation:

The Merge_Sort(A, p, n) algorithm first divides the whole array into two halves. Then again divides the sub-lists into it's halves and so on.

Then using merge algorithm it compares the elements of both halves one by one and keep it in sorted order.

6 0
3 years ago
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