y = x − 1
Explain how you will solve the pair of equations by substitution. Show all the steps and write the solution in (x, y) form.
The coordinate (x,y)=(-2,-3).
We have given the following pair of equations
y = 3x + 3.....(1)
y = x − 1.....(2)
Here we use the substitution method
The value of one variable from one equation is substituted in the other equation
So the given system of linear equation
We have substitute the value of y from equation 2 into the value of y in equation one
So we get
x − 1= 3x + 3
add like terms
x-3x=3+1
-2x=4
x=4/-2
x=-2
Plug x=-2 in equation 2 we get,
y = -2 − 1
y=-3
Therefore we get the coordinate(x,y)=(-2,-3).
To learn more about the substitution method visit:
A. 29
B. 2 V 29
C. 3 V 14
D. V58
Answer:
The answer should be 7.615773...
or
Step-by-step explanation:
I hope this helps.
how do you now what to mutliply by like 5.1 x 5.1 the multiply by 3.14
=
⎝
⎛
0
1
0
1
−4
1
0
1
0
⎠
⎞
Answer:
Step-by-step explanation:
a) To filter the given 4x4 gray level image with a 3x3 average filter using zero padding, follow these steps:
1. Apply zero padding to the image by adding an extra layer of zeros around the edges. This ensures that the filter can be applied to all pixels, including those at the image borders.
2. Place the 3x3 average filter over each pixel in the image, centered on that pixel.
3. Multiply the corresponding filter coefficients with the pixel values within the filter region and sum them up.
4. Divide the sum by the total number of coefficients in the filter (which is 3x3 = 9 in this case) to get the average value.
5. Replace the original pixel value with the computed average value.
6. Repeat steps 2-5 for all pixels in the image.
b) To filter the given 4x4 gray level image with the Laplacian filter using the given mask:
1. Place the Laplacian filter mask over each pixel in the image, centered on that pixel.
2. Multiply the corresponding mask coefficients with the pixel values within the filter region and sum them up.
3. Replace the original pixel value with the computed sum.
4. Repeat steps 1-3 for all pixels in the image.
The resulting image will be the filtered output, where each pixel has been modified according to the chosen filter method.