a full two-dimensional table memory requires 2n entries,
时间: 2024-05-28 13:10:37 浏览: 16
where n is the number of memory locations in each dimension. This is because each memory location in a two-dimensional table requires two indices to access it - one for each dimension. So if there are n memory locations in each dimension, there are n indices for each dimension, giving a total of 2n indices to access all the memory locations. Therefore, the total number of entries required is 2n x 2n = 4n².
相关问题
1-dimensional array given. Array must be at least two-dimensional
To convert a 1-dimensional array into a 2-dimensional array, you need to decide on the number of rows and columns for the new array. The total number of elements in the 1-dimensional array should be equal to the product of the number of rows and columns in the 2-dimensional array.
Here's an example code snippet in Python that converts a 1-dimensional array of length n into a 2-dimensional array of size m x n:
```
import numpy as np
# define input 1D array
arr_1d = np.array([1, 2, 3, 4, 5, 6])
# define number of rows and columns for 2D array
m = 2
n = 3
# convert 1D array to 2D array
arr_2d = arr_1d.reshape(m, n)
print(arr_2d)
```
Output:
```
array([[1, 2, 3],
[4, 5, 6]])
```
The `reshape()` function is used to transform the 1D array into a 2D array of size `m` rows and `n` columns. The resulting array will have `m*n` elements, which should match the size of the original 1D array.
1-dimensional array given. Array must be at least two-dimensional报错
This error occurs when a one-dimensional array is being treated as a two-dimensional array. This can happen when trying to access an element using two indices instead of one, or when trying to perform operations that are only applicable to multi-dimensional arrays.
To fix the error, you need to make sure that the array is correctly defined and accessed as a one-dimensional array. If you need to work with a multi-dimensional array, you will need to create it as such and populate it with the appropriate values.
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