Concept:
The function is defined recursively depending on whether the input is even or odd:
• If \(n\) is even: \( f(2n) = f(n) \), which reduces the argument.
• If \(n\) is odd: \( f(2n+1) = (f(n))^2 - 2 \).
Thus, every value of \(f(n)\) can be reduced step-by-step to smaller values until it ultimately depends on \(f(1)\).
Step 1: Base value
\[
f(1) = 1
\]
Step 2: Understanding the recursive behavior
Let us observe what happens when values are substituted:
• If \( f(n) = 1 \), then
\[
f(2n+1) = 1^2 - 2 = -1
\]
• If \( f(n) = -1 \), then
\[
f(2n+1) = (-1)^2 - 2 = 1 - 2 = -1
\]
Thus, once the value becomes \(-1\), it remains \(-1\) for all further odd expansions.
Step 3: Compute initial values explicitly
\[
\begin{aligned}
f(1)&=1 \\
f(2)&=f(1)=1 \\
f(3)&=(f(1))^2-2= -1 \\
f(4)&=f(2)=1 \\
f(5)&=(f(2))^2-2= -1 \\
f(6)&=f(3)= -1 \\
f(7)&=(f(3))^2-2= -1 \\
f(8)&=f(4)=1 \\
f(9)&=(f(4))^2-2= -1 \\
f(10)&=f(5)= -1
\end{aligned}
\]
Continuing similarly, we see a clear pattern.
Step 4: Identify which numbers give \( f(n)=1 \)
A number gives \(f(n)=1\) only if repeated division by 2 eventually reduces it to 1.
Thus, numbers of the form \(2^k\) give:
\[
f(1)=1,\quad f(2)=1,\quad f(4)=1,\quad f(8)=1,\quad f(16)=1
\]
So, within 1 to 25:
\[
\text{Numbers giving } f(n)=1: \{1,2,4,8,16\}
\]
Total count:
\[
5
\]
Step 5: Count remaining values
Total numbers from 1 to 25:
\[
25
\]
Thus,
\[
\text{Numbers giving } f(n)=-1 = 25 - 5 = 20
\]
Step 6: Compute the required sum
\[
\sum_{n=1}^{25} f(n) = 5(1) + 20(-1)
\]
\[
= 5 - 20 = -15
\]
Step 7: Final Answer
\[
\boxed{-15}
\]