A - 内積の計算 / Dot Product Calculation Editorial by admin
Claude 4.6 Opus (Thinking)Overview
This is a problem of computing the dot product (sum of component-wise products) of two 7-dimensional vectors.
Discussion
The dot product is obtained by multiplying the corresponding components of two vectors and summing all the results.
For example, if \(\mathbf{a} = (1, 2, 3, 4, 5, 6, 7)\) and \(\mathbf{b} = (2, 0, 1, 0, 1, 0, 1)\):
\[\mathbf{a} \cdot \mathbf{b} = 1 \times 2 + 2 \times 0 + 3 \times 1 + 4 \times 0 + 5 \times 1 + 6 \times 0 + 7 \times 1 = 2 + 0 + 3 + 0 + 5 + 0 + 7 = 17\]
Since the dimension of the vectors is fixed at \(7\) (which is small) and the absolute value of each component is at most \(100\) (also small), a straightforward computation is sufficient. No special algorithms or optimization techniques are needed.
Algorithm
- Read the first line and store the 7 integers in a list \(a\).
- Read the second line and store the 7 integers in a list \(b\).
- Sum up the products of corresponding components \(A_i \times B_i\) (\(i = 1, 2, \ldots, 7\)).
- Output the total sum.
In the code, Python’s zip(a, b) is used to extract pairs of corresponding elements \((A_i, B_i)\) from the two lists, compute the product \(x \times y\) for each pair, and sum them up using sum.
a = list(map(int, input().split())) # Read the components of vector a
b = list(map(int, input().split())) # Read the components of vector b
print(sum(x * y for x, y in zip(a, b))) # Compute and output the dot product
To illustrate how zip(a, b) works concretely: when \(a = [1, 2, 3, ...]\) and \(b = [4, 5, 6, ...]\), it generates the pairs \((1, 4), (2, 5), (3, 6), \ldots\) in order.
Complexity
- Time complexity: \(O(N)\) (Since \(N = 7\) is fixed, this is effectively \(O(1)\))
- Space complexity: \(O(N)\) (Used to store the two lists; since \(N = 7\), this is effectively \(O(1)\))
Implementation Notes
Using
zipallows you to pair corresponding elements of two lists and iterate over them concisely. You can achieve the same result using aforloop with indices (for i in range(7): result += a[i] * b[i]), but usingzipis more Pythonic.Since the absolute value of each component is at most \(100\) and the dimension is \(7\), the absolute value of the dot product is at most \(100 \times 100 \times 7 = 70000\), so there is no need to worry about integer overflow.
Source Code
a = list(map(int, input().split()))
b = list(map(int, input().split()))
print(sum(x * y for x, y in zip(a, b)))
This editorial was generated by claude4.6opus-thinking.
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