Good Sequences(codeforces 264B)

这是一道关于寻找最长递增子序列的问题,序列中相邻元素的最大公约数必须大于1。需要找到这样的序列并输出其长度。题解涉及动态规划和质因数分解,其中关键在于正确初始化ans的值和优化质因数分解的范围。

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题目:
Squirrel Liss is interested in sequences. She also has preferences of integers. She thinks n integers a1, a2, …, an are good.

Now she is interested in good sequences. A sequence x1, x2, …, xk is called good if it satisfies the following three conditions:

  • The sequence is strictly increasing, i.e. xi < xi + 1 for each i
    (1 ≤ i ≤ k - 1).
  • No two adjacent elements are coprime, i.e. gcd(xi, xi + 1) > 1 for
    each i (1 ≤ i ≤ k - 1) (where gcd(p, q) denotes the greatest
    common divisor of the integers p and q).
  • All elements of the sequence are good integers.

Find the length of the longest good sequence.

input
The input consists of two lines. The first line contains a single integer n (1 ≤ n ≤ 10^5) — the number of good integers. The second line contains a single-space separated list of good integers a1, a2, …, an in strictly increasing order

### Codeforces Round 995 Problems and Solutions For a participant named Pasha who aims to solve all problems within the duration of a coding competition, it is important to calculate the minimum time required for submitting all solutions correctly[^1]. This involves understanding problem constraints, expected outputs, precision requirements, and specific conditions related to array sizes or permutations. #### Problem A: Minimal Submission Time Calculation Given multiple tasks with varying complexities, one must determine the least amount of time needed to complete these submissions successfully. The algorithm should consider both solving times and submission processes efficiently so as not to exceed contest limits while ensuring accuracy in responses provided by participants like K1o0n whose answers need validation through tests involving pairs of integers \(a_i\) and \(b_i\)[^2]. #### Problem B: Precision Output Requirements When dealing with numerical computations where exactness matters greatly—such as floating-point operations—it's crucial that any computed result has an absolute error no more significant than \(10^{-9}\). Such stringent tolerances ensure high fidelity across different platforms running similar algorithms but potentially yielding slightly varied results due to hardware differences during execution phases[^3]. #### Problem C: Permutation Construction Constraints Constructing valid sequences under given parameters requires adherence to strict rules about element counts (\(n\)), alongside additional integer values (\(m,k\)) defining further restrictions on how elements may appear inside said sequence structures without violating imposed boundaries set forth at initialization stages when specifying permissible ranges for individual components involved[^4]. #### Problem D: Array Size Validation Logic Validating whether certain properties hold true over collections necessitates careful examination against predefined criteria regarding their dimensions. For instance, identifying configurations containing exactly two subarrays meeting specified length thresholds would constitute invalid cases according to some problem statements found within competitive programming challenges hosted online[^5]. ```cpp // Example code snippet demonstrating basic logic checks for validating array sizes. #include <iostream> using namespace std; bool validateArraySizes(int* arr, int size) { int count = 0; for (int i = 0; i < size - 1; ++i) { if ((arr[i] >= 2 && arr[i + 1] >= 2)) count++; } return count != 2; } int main() { int exampleArr[] = { /* ... */ }; cout << boolalpha << validateArraySizes(exampleArr, sizeof(exampleArr)/sizeof(*exampleArr)); } ``` --related questions-- 1. How do we optimize the calculation process for determining minimal submission times? 2. What methods exist to improve computational efficiency when working towards achieving precise numeric outcomes? 3. Can you provide examples illustrating common pitfalls encountered during permutation construction based on defined parameter sets? 4. In what ways can logical operators assist programmers in verifying complex data structure attributes accurately?
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