The perimeter of the quadrilateral is 4z 16.
To calculate the perimeter, or distance around the rectangle, sum all four side lengths. This may be done quickly by adding the length and breadth and then multiplying the total by two because each side length has two lengths. The perimeter formula is perimeter=(length+width)2.
The 4 sides of quadrilateral is z-4.
Now, the Perimeter of quadrilateral
= (z-4) + (z-4) + (z-4) + (z-4)
= 4 (z-4)
= 4z- 16
Thus, the perimeter is 4z- 16.
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Answer:
4z-16 units
Step-by-step explanation:
The perimeter of the rectangle is 4z-16 units.
Subtract 17.2.
O Add 17.2.
Subtract 8.5.
Subtract 8.5 from both sides to solve equation.
We have the following equation -
y + 8.5 = 17.2
y + 8.5 - 8.5 = 17.2 - 8.5
y = 8.7
Therefore, Subtract 8.5 from both sides to solve equation.
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Answer:
Subtract 8.5
Step-by-step explanation:
To solve the equation, y has to be isolated (only y will be on one side of the equation)
To do this, we have to get rid of the 8.5, so it has to be subtracted from both sides.
So, the correct answer is subtract 8.5
every dog
pet store
there are 3 cats at the pet store. What's the ratio?
Answer:
1/3?
Step-by-step explanation:
pls show work/explanation!
Answer:
Step-by-step explanation:
Equation of a line
To define the equation of a line, we only need two points through which it passes. The graph shows two clear points to choose: (0,2) and (1,-1)
Set up the equation of the line by using the formula
Operating
Rearranging
b. Write down the fixed-step-size gradient algorithm for solving this optimization problem.
c. Suppose that Find the largest range of values for α such that the algorithm in part b converges to the solution of the problem.
Answer:
Answer for the question :
Consider the optimization problem where A m × n , m ≥ n , and b m .
a. Show that the objective function for this problem is a quadratic function, and write down the gradient and Hessian of this quadratic.
b. Write down the fixed-step-size gradient algorithm for solving this optimization problem.
c. Suppose that Find the largest range of values for α such that the algorithm in part b converges to the solution of the problem.
is explained din the attachment.
Step-by-step explanation: