Posts published in July 2018

花花酱 LeetCode 877. Stone Game

By zxi on July 28, 2018

Problem

Alex and Lee play a game with piles of stones. There are an even number of piles arranged in a row, and each pile has a positive integer number of stones piles[i].

The objective of the game is to end with the most stones. The total number of stones is odd, so there are no ties.

Alex and Lee take turns, with Alex starting first. Each turn, a player takes the entire pile of stones from either the beginning or the end of the row. This continues until there are no more piles left, at which point the person with the most stones wins.

Assuming Alex and Lee play optimally, return True if and only if Alex wins the game.

Example 1:

Input: [5,3,4,5]
Output: true
Explanation: 
Alex starts first, and can only take the first 5 or the last 5.
Say he takes the first 5, so that the row becomes [3, 4, 5].
If Lee takes 3, then the board is [4, 5], and Alex takes 5 to win with 10 points.
If Lee takes the last 5, then the board is [3, 4], and Alex takes 4 to win with 9 points.
This demonstrated that taking the first 5 was a winning move for Alex, so we return true.

Note:

2 <= piles.length <= 500
piles.length is even.
1 <= piles[i] <= 500
sum(piles) is odd.

Solution 1: min-max (TLE)

Time complexity: O(2^n)

Space complexity: O(n)

// Author: Huahua

// Running time: TLE 26/46 passed.

class Solution {

public:

bool stoneGame(vector<int>& piles) {

return score(piles, 0, piles.size() - 1) > 0;

}

private:

int score(const vector<int>& piles, int l, int r) {

if (l == r) return piles[l];

return max(piles[l] - score(piles, l + 1, r),

piles[r] - score(piles, l, r - 1));

}

};

Solution 2: min-max + memorization

Time complexity: O(n^2)

Space complexity: O(n^2)

// Author: Huahua

// Running time: 12 ms

class Solution {

public:

bool stoneGame(vector<int>& piles) {

const int n = piles.size();

m_ = vector<vector<int>>(n, vector<int>(n, INT_MIN));

return score(piles, 0, n - 1) > 0;

}

private:

vector<vector<int>> m_;

int score(const vector<int>& piles, int l, int r) {

if (l == r) return piles[l];

if (m_[l][r] == INT_MIN)

m_[l][r] = max(piles[l] - score(piles, l + 1, r),

piles[r] - score(piles, l, r - 1));

return m_[l][r];

}

};

Solution 3: min-max + DP

Time complexity: O(n^2)

Space complexity: O(n^2)

// Author: Huahua

// Running time: 8 ms

class Solution {

public:

bool stoneGame(vector<int>& piles) {

const int n = piles.size();

// dp[i][j] := max(your_stones - op_stones) for piles[i] ~ piles[j]

vector<vector<int>> dp(n, vector<int>(n, 0));

for (int i = 0; i < n; ++i)

dp[i][i] = piles[i];

for (int l = 2; l <= n; ++l)

for (int i = 0; i < n - l + 1; ++i) {

int j = i + l - 1;

dp[i][j] = max(piles[i] - dp[i + 1][j], piles[j] - dp[i][j - 1]);

}

return dp[0][n - 1] > 0;

}

};

O(n) Space

// Author: Huahua

// Running time: 4 ms

class Solution {

public:

bool stoneGame(vector<int>& piles) {

const int n = piles.size();

// dp[i] := max(your_stones - op_stones) for piles[i] to piles[i + l - 1]

vector<int> dp(piles);

for (int l = 2; l <= n; ++l)

for (int i = 0; i < n - l + 1; ++i)

dp[i] = max(piles[i] - dp[i + 1], piles[i + l - 1] - dp[i]);

return dp[0] > 0;

}

};

Problem

Given a list of non-overlapping axis-aligned rectangles rects, write a function pick which randomly and uniformily picks an integer point in the space covered by the rectangles.

Note:

An integer point is a point that has integer coordinates.
A point on the perimeter of a rectangle is included in the space covered by the rectangles.
ith rectangle = rects[i] = [x1,y1,x2,y2], where [x1, y1] are the integer coordinates of the bottom-left corner, and [x2, y2] are the integer coordinates of the top-right corner.
length and width of each rectangle does not exceed 2000.
1 <= rects.length <= 100
pick return a point as an array of integer coordinates [p_x, p_y]
pick is called at most 10000 times.

Example 1:

Input: 
["Solution","pick","pick","pick"]
[[[[1,1,5,5]]],[],[],[]]
Output: 
[null,[4,1],[4,1],[3,3]]

Example 2:

Input: 
["Solution","pick","pick","pick","pick","pick"]
[[[[-2,-2,-1,-1],[1,0,3,0]]],[],[],[],[],[]]
Output: 
[null,[-1,-2],[2,0],[-2,-1],[3,0],[-2,-2]]

Explanation of Input Syntax:

The input is two lists: the subroutines called and their arguments. Solution‘s constructor has one argument, the array of rectangles rects. pick has no arguments. Arguments are always wrapped with a list, even if there aren’t any.

Solution: Binary Search

Same as LeetCode 880. Random Pick with Weight

Use area of the rectangles as weights.

Time complexity: Init: O(n) Pick: O(logn)

Space complexity: O(n)

// Author: Huahua

// Running time: 92 ms

class Solution {

public:

Solution(vector<vector<int>> rects): rects_(std::move(rects)) {

sums_ = vector<int>(rects_.size());

for (int i = 0; i < rects_.size(); ++i) {

sums_[i] = (rects_[i][2] - rects_[i][0] + 1) * (rects_[i][3] - rects_[i][1] + 1);

if (i > 0) sums_[i] += sums_[i - 1];

}

vector<int> pick() {

const int s = nextInt(sums_.back()) + 1;

int index = lower_bound(sums_.begin(), sums_.end(), s) - sums_.begin();

const auto& rect = rects_[index];

return {rect[0] + nextInt(rect[2] - rect[0] + 1),

rect[1] + nextInt(rect[3] - rect[1] + 1)};

}

private:

vector<int> sums_;

vector<vector<int>> rects_;

// Returns a random int in [0, n - 1]

int nextInt(int n) {

return rand() / static_cast<double>(RAND_MAX) * n;

}

};

Problem

Given an array w of positive integers, where w[i] describes the weight of index i, write a function pickIndex which randomly picks an index in proportion to its weight.

Note:

1 <= w.length <= 10000
1 <= w[i] <= 10^5
pickIndex will be called at most 10000 times.

Example 1:

Input: 
["Solution","pickIndex"]
[[[1]],[]]
Output: [null,0]

Example 2:

Input: 
["Solution","pickIndex","pickIndex","pickIndex","pickIndex","pickIndex"]
[[[1,3]],[],[],[],[],[]]
Output: [null,0,1,1,1,0]

Explanation of Input Syntax:

The input is two lists: the subroutines called and their arguments. Solution‘s constructor has one argument, the array w. pickIndex has no arguments. Arguments are always wrapped with a list, even if there aren’t any.

Solution: Binary Search

Convert PDF to CDF
Uniformly sample a value s in [1, sum(weights)].
Use binary search to find first index such that PDF[index] >= s.

Time complexity: Init O(n), query O(logn)

Space complexity: O(n)

C++

// Author: Huahua

// Running time: 184 ms

class Solution {

public:

Solution(vector<int> w) {

sums_ = std::move(w);

for (int i = 1; i < sums_.size(); ++i)

sums_[i] += sums_[i - 1];

}

int pickIndex() {

int s = rand() / static_cast<double>(RAND_MAX) * sums_.back() + 1;

return lower_bound(sums_.begin(), sums_.end(), s) - sums_.begin();

// or

// int l = 0;

// int r = sums_.size();

// while (l < r) {

// int m = (r - l) / 2 + l;

// if (sums_[m] < s)

// l = m + 1;

// else

// r = m;

// }

// return l;

}

private:

vector<int> sums_;

};

Problem

Given the radius and x-y positions of the center of a circle, write a function randPoint which generates a uniform random point in the circle.

Note:

input and output values are in floating-point.
radius and x-y position of the center of the circle is passed into the class constructor.
a point on the circumference of the circle is considered to be in the circle.
randPoint returns a size 2 array containing x-position and y-position of the random point, in that order.

Example 1:

Input: 
["Solution","randPoint","randPoint","randPoint"]
[[1,0,0],[],[],[]]
Output: [null,[-0.72939,-0.65505],[-0.78502,-0.28626],[-0.83119,-0.19803]]

Example 2:

Input: 
["Solution","randPoint","randPoint","randPoint"]
[[10,5,-7.5],[],[],[]]
Output: [null,[11.52438,-8.33273],[2.46992,-16.21705],[11.13430,-12.42337]]

Explanation of Input Syntax:

The input is two lists: the subroutines called and their arguments. Solution‘s constructor has three arguments, the radius, x-position of the center, and y-position of the center of the circle. randPoint has no arguments. Arguments are always wrapped with a list, even if there aren’t any.

Solution: Polar Coordinate

uniform sample an angle a: [0, 2*Pi)

uniform sample a radius r: [0, 1)

Number of random points in a cycle should be proportional to the square of distance to the center.

e.g. there are 4 times of points with distance d than points with distance d/2.

Thus sqrt(r) is uniformly distributed.

r’ = sqrt(r),

C++

// Author: Huahua

// Running time: 116 ms

class Solution {

public:

Solution(double radius, double x_center, double y_center)

:r_(radius), x_(x_center), y_(y_center) {}

vector<double> randPoint() {

double a = rand() / static_cast<double>(RAND_MAX) * 2 * M_PI;

double r = sqrt(rand() / static_cast<double>(RAND_MAX)) * r_;

return {x_ + r * cos(a), y_ + r * sin(a)};

}

private:

double r_;

double x_;

double y_;

};

Posts published in July 2018

花花酱 LeetCode 877. Stone Game

Problem

Solution 1: min-max (TLE)

Solution 2: min-max + memorization

Solution 3: min-max + DP

Related Problems

花花酱 LeetCode 882. Random Point in Non-overlapping Rectangles

Problem

Solution: Binary Search

Related Problems

花花酱 LeetCode 880. Random Pick with Weight

Problem

Solution: Binary Search

Related Problems

花花酱 LeetCode 883. Generate Random Point in a Circle

Problem

Solution: Polar Coordinate

C++

Posts published in July 2018

花花酱 LeetCode 877. Stone Game

Problem

Solution 1: min-max (TLE)

Solution 2: min-max + memorization

Solution 3: min-max + DP

Related Problems

花花酱 LeetCode 876. Middle of the Linked List

Problem

Solution: Slow + Fast Pointers

花花酱 LeetCode 882. Random Point in Non-overlapping Rectangles

Problem

Solution: Binary Search

Related Problems

花花酱 LeetCode 880. Random Pick with Weight

Problem

Solution: Binary Search

Related Problems

花花酱 LeetCode 883. Generate Random Point in a Circle

Problem

Solution: Polar Coordinate

C++