A sequence of numbers is called arithmetic if it consists of at least three elements and if the difference between any two consecutive elements is the same.

For example, these are arithmetic sequences:

1, 3, 5, 7, 9
7, 7, 7, 7
3, -1, -5, -9

The following sequence is not arithmetic.

1, 1, 2, 5, 7

A zero-indexed array A consisting of N numbers is given. A subsequence slice of that array is any sequence of integers (P0, P1, ..., Pk) such that 0 ≤ P0 < P1 < ... < Pk < N.

A subsequence slice (P0, P1, ..., Pk) of array A is called arithmetic if the sequence A[P0], A[P1], ..., A[Pk-1], A[Pk] is arithmetic. In particular, this means that k ≥ 2.

The function should return the number of arithmetic subsequence slices in the array A.

The input contains N integers. Every integer is in the range of -231 and 231-1 and 0 ≤ N ≤ 1000. The output is guaranteed to be less than 231-1.

Example:

Input: [2, 4, 6, 8, 10]

Output: 7

Explanation:
All arithmetic subsequence slices are:
[2,4,6]
[4,6,8]
[6,8,10]
[2,4,6,8]
[4,6,8,10]
[2,4,6,8,10]
[2,6,10]

Approach #1: DP. [C++]

class Solution {
public:
int numberOfArithmeticSlices(vector<int>& A) {
if (A.size() == 0) return 0;
vector<map<int, int>> dp(A.size()+1); int res = 0;
for (int i = 0; i < A.size(); ++i) {
for (int j = 0; j < i; ++j) {
long dif = (long)A[i] - A[j];
if (dif < INT_MIN || dif > INT_MAX) continue;
int d = (int)dif;
dp[i][d] += 1;
if (dp[j].find(d) != dp[j].end()) {
dp[i][d] += dp[j][d];
res += dp[j][d];
}
}
} return res;
}
};

  

Analysis:

1. res is the final count of all valid  arithmetic subsequence slices;

2. dp will store the intermediate results [i, [dif, count]], with i indexed into the array and dif as the key. count is the number of result with the intermediate results.

3. for each index i, we find the total number of "generalized" arithmetic subsequence slices ending at it with all possible differences. This is done by attaching A[i] to all slices of dp[j][d] with j less than i.

4. Within the inner loop, we first use a long variable diff to filter out invalid cases, then get the count of all valid slices (with element >= 3) as dp[j][d] add it to the final count. At last we update the count of all "generalized" slices for dp[i][d] by adding the two parts together: the orginal value of dp[i][d], the counts from dp[j][d].

Reference:

https://leetcode.com/problems/arithmetic-slices-ii-subsequence/

446. Arithmetic Slices II - Subsequence的更多相关文章

  1. LeetCode 446. Arithmetic Slices II - Subsequence

    原题链接在这里:https://leetcode.com/problems/arithmetic-slices-ii-subsequence/ 题目: A sequence of numbers is ...

  2. 446 Arithmetic Slices II - Subsequence 算数切片之二 - 子序列

    详见:https://leetcode.com/problems/arithmetic-slices-ii-subsequence/description/ C++: class Solution { ...

  3. 第六周 Leetcode 446. Arithmetic Slices II - Subsequence (HARD)

    Leetcode443 题意:给一个长度1000内的整数数列,求有多少个等差的子数列. 如 [2,4,6,8,10]有7个等差子数列. 想了一个O(n^2logn)的DP算法 DP[i][j]为 对于 ...

  4. Arithmetic Slices II - Subsequence LT446

    446. Arithmetic Slices II - Subsequence Hard A sequence of numbers is called arithmetic if it consis ...

  5. [LeetCode] Arithmetic Slices II - Subsequence 算数切片之二 - 子序列

    A sequence of numbers is called arithmetic if it consists of at least three elements and if the diff ...

  6. Leetcode: Arithmetic Slices II - Subsequence

    A sequence of numbers is called arithmetic if it consists of at least three elements and if the diff ...

  7. [Swift]LeetCode446. 等差数列划分 II - 子序列 | Arithmetic Slices II - Subsequence

    A sequence of numbers is called arithmetic if it consists of at least three elements and if the diff ...

  8. LeetCode446. Arithmetic Slices II - Subsequence

    A sequence of numbers is called arithmetic if it consists of at least three elements and if the diff ...

  9. [LeetCode] Arithmetic Slices 算数切片

    A sequence of number is called arithmetic if it consists of at least three elements and if the diffe ...

随机推荐

  1. Best free online svn repositories

    Maybe you want to develop in a custom team environment or you usualy work on different machines (tha ...

  2. Maven(九)”编码 gbk 的不可映射字符“ 问题解决方案

    解决这个问题的思路: 在maven的编译插件中声明正确的字符集编码编码——编译使用的字符集编码与代码文件使用的字符集编码一致!! 安装系统之后,一般中文系统默认字符集是GBK.我们安装的软件一般都继承 ...

  3. 【328】Python 控制鼠标/键盘+图片识别 综合应用

    本文是基于 [267]实现跨网络传数据 的基础上的,由于在弹出 putty 之后,需要手动输入命令(pass.sh.get.sh)来实现数据的传递,另外就是处理完之后需要手动关闭 putty,本文解决 ...

  4. The superclass "javax.servlet.http.HttpServlet" was not found on the Java Build Path问题的解决

    这个问题的解决有二种解决办法: 1.加apache tomcat的运行环境即可 选中项目点击右键 以上这种做法是在eclipse中的做法 2.如果是maven工程,还可以采用maven做法 就在这个工 ...

  5. Radial Blur

    [Radial Blur] 核心代码如下: v2f vert (appdata_img v) { v2f o; o.pos = mul(UNITY_MATRIX_MVP, v.vertex); o.u ...

  6. python's @property

    [python's @property] 参考:http://docs.python.org/3/library/functions.html?highlight=property#property

  7. go_接口

    duck typeing 隐式的实现接口的方法就等于实现了接口 main函数 package main import ( "fmt" "learngo/retriever ...

  8. linux sudo 系统环境变量 用户环境变量

    1. sudo就是普通用户临时拥有root的权限.好处在于,大多数时候使用用户自定义的配置,少数情况可以通过sudo实现root权限做事. 故而,需要注意的一点是,在你使用了sudo后,你临时不再是原 ...

  9. 第六章 Windows应用程序对键盘与鼠标的响应 P121 6-8

    基于键盘与鼠标应用的程序设计 一.实验目的 1.掌握键盘与鼠标在应用程序中的消息响应机制.   二.实验内容及步骤 实验任务 1.熟悉键盘的消息响应: 2.熟悉鼠标的消息响应: 实验内容 设计一个窗口 ...

  10. python高性能编程方法一-乾颐堂

    阅读 Zen of Python,在Python解析器中输入 import this. 一个犀利的Python新手可能会注意到"解析"一词, 认为Python不过是另一门脚本语言. ...