Answer:
To do this you'll need to use malloc to assign memory to the pointers used. You'll also need to use free to unassign that memory at the end of the program using the free. Both of these are in stdlib.h.
#include <stdlib.h>
#include <stdio.h>
#define SIZE_X 3
#define SIZE_Y 4
int main(void){
int **matrix, i, j;
// allocate the memory
matrix = (int**)malloc(SIZE_X * sizeof(int*));
for(i = 0; i < SIZE_X; i++){
matrix[i] = (int *)malloc(SIZE_Y * sizeof(int));
}
// assign the values
for(i = 0; i < SIZE_X; i++){
for(j = 0; j < SIZE_Y; j++){
matrix[i][j] = SIZE_Y * i + j + 1;
}
}
// print it out
for(i = 0; i < SIZE_X; i++){
for(j = 0; j < SIZE_X; j++){
printf("%d, %d: %d\n", i, j, matrix[i][j]);
}
}
// free the memory
for(i = 0; i < SIZE_X; i++){
free(matrix[i]);
}
free(matrix);
return 0;
}
Answer:
True.
Explanation:
(Facts from Google): The answer is true because small data is defined as data that is small enough for human comprehension. Big data is data that comes in large chunks and is too large for traditional data processing. Small data is most likely all about finding the causation because it is understandable, and therefore can be read.
D. Speak your ideas with respect on the internet .
Answer:
The answer is "Option A".
Explanation:
- In the given C++ Language program on line 8 compile-time error will occur, because in the code the conditional statement is used. In if block, we check two conditions together, which is the number variable value is greater than equal to 0 and check less than equal to 100.
- In this condition statement, a AND operator is used that execute when both condition is true, but in the last condition, we do not define a variable name that, checks value. That's why the program will give an error on line 8.
The above statement is FALSE.
A photo's color intensity can be modified by changing the brightness and CONTRAST.
There are four common image controls that makes an image easy to view. These controls are brightness, contrast, saturation, and sharpness.
Brightness control simply brightens the whole image from the shadows to the highlights equally.
Contrast control is the separation between the darkest and brightest areas of the image.
Saturation control is the separation of colors in the image.
Sharpness control is defined as the edge contrast, meaning the edges in the image are the ones being contrasted.
