Race to Finish Line - Google Top Interview Questions


Problem Statement :


You are driving a car in a one-dimensional line and are currently at position = 0 with speed = 1. You can make one of two moves:

Accelerate: position += speed and speed *= 2

Reverse: speed = -1 if speed > 0 otherwise speed = 1.

Return the minimum number of moves it would take to reach target.

Constraints

1 ≤ target ≤ 100,000

Example 1

Input

target = 7

Output

3

Explanation


We can accelerate 3 times to reach 7. 0 -> 1 -> 3 -> 7



Example 2


Input

target = 6

Output

5

Explanation

We can accelerate 3 times to reach 7. 0 -> 1 -> 3 -> 7. Then we reverse to change our speed to -1. Then we accelerate to reach 6.



Solution :



title-img




                        Solution in C++ :

int dp[100005];
// dp[i] is the minimum time needed to travel exactly a distance of i

int solve(int target) {
    if (dp[target]) {
        return dp[target];
    }
    int time = 0;
    int speed = 1;
    int position = 0;
    // this is achievable by accelerating, then reversing twice, repeating "target" times until we
    // get to the target
    int besttime = 3 * target;
    while (true) {
        position += speed;
        time++;
        if (position == target) {
            besttime = min(besttime, time);
            break;
        }
        // reverse once, but since we're after the target we don't continue traveling further
        // forward
        if (position > target) {
            besttime = min(besttime, time + 1 + solve(position - target));
            break;
        }
        // reverse twice to reset speed to 1
        besttime = min(besttime, time + 2 + solve(target - position));
        // reverse in the middle, but don't reverse all the way
        if (speed > 1) {
            int candtime = time + 2;
            int candposition = target - position;
            for (int revspeed = 1; candposition + revspeed < target; revspeed *= 2) {
                candposition += revspeed;
                candtime++;
                besttime = min(besttime, candtime + solve(candposition));
            }
        }
        speed *= 2;
    }
    dp[target] = besttime;
    return besttime;
}
                    


                        Solution in Java :

import java.util.*;

class Solution {
    public int solve(int target) {
        if (target == 0)
            return 0;
        boolean[][] ff = new boolean[38][target * 2 + 1];
        LinkedList<Integer> ll1 = new LinkedList(), ll2 = new LinkedList();
        ll1.add(0);
        ll2.add(0);
        ff[0][0] = true;
        int lay = 0, count = 1;
        while (!ll1.isEmpty()) {
            int p = ll1.poll(), s = ll2.poll();
            int speed = s < 19 ? 1 << s : -(1 << (s - 19));
            if (p + speed == target)
                return lay + 1;
            if (p + speed >= 0 && p + speed < ff[0].length && !ff[s + 1][p + speed]) {
                ll1.add(p + speed);
                ll2.add(s + 1);
                ff[s + 1][p + speed] = true;
            }
            s = s < 19 ? 19 : 0;
            if (!ff[s][p]) {
                ll1.add(p);
                ll2.add(s);
                ff[s][p] = true;
            }
            --count;
            if (count == 0) {
                ++lay;
                count = ll1.size();
            }
        }
        return -1;
    }
}
                    


                        Solution in Python : 
                            
class Solution:
    def solve(self, target):
        self.ans = int(1e9)
        hi = 1
        while (1 << hi) < target:
            hi += 1
        self.dfs(hi, 0, 0, 0, target)
        return self.ans

    def dfs(self, digit, cost, pos, neg, target):
        tot = cost + max(2 * (pos - 1), 2 * neg - 1)
        if tot >= self.ans:
            return
        if target == 0:
            self.ans = min(self.ans, tot)
            return
        step = (1 << digit) - 1
        if step * 2 < abs(target):
            return
        self.dfs(digit - 1, cost, pos, neg, target)
        self.dfs(digit - 1, cost + digit, pos + 1, neg, target - step)
        self.dfs(digit - 1, cost + digit * 2, pos + 2, neg, target - step * 2)
        self.dfs(digit - 1, cost + digit, pos, neg + 1, target + step)
        self.dfs(digit - 1, cost + digit * 2, pos, neg + 2, target + step * 2)
                    


View More Similar Problems

Castle on the Grid

You are given a square grid with some cells open (.) and some blocked (X). Your playing piece can move along any row or column until it reaches the edge of the grid or a blocked cell. Given a grid, a start and a goal, determine the minmum number of moves to get to the goal. Function Description Complete the minimumMoves function in the editor. minimumMoves has the following parameter(s):

View Solution →

Down to Zero II

You are given Q queries. Each query consists of a single number N. You can perform any of the 2 operations N on in each move: 1: If we take 2 integers a and b where , N = a * b , then we can change N = max( a, b ) 2: Decrease the value of N by 1. Determine the minimum number of moves required to reduce the value of N to 0. Input Format The first line contains the integer Q.

View Solution →

Truck Tour

Suppose there is a circle. There are N petrol pumps on that circle. Petrol pumps are numbered 0 to (N-1) (both inclusive). You have two pieces of information corresponding to each of the petrol pump: (1) the amount of petrol that particular petrol pump will give, and (2) the distance from that petrol pump to the next petrol pump. Initially, you have a tank of infinite capacity carrying no petr

View Solution →

Queries with Fixed Length

Consider an -integer sequence, . We perform a query on by using an integer, , to calculate the result of the following expression: In other words, if we let , then you need to calculate . Given and queries, return a list of answers to each query. Example The first query uses all of the subarrays of length : . The maxima of the subarrays are . The minimum of these is . The secon

View Solution →

QHEAP1

This question is designed to help you get a better understanding of basic heap operations. You will be given queries of types: " 1 v " - Add an element to the heap. " 2 v " - Delete the element from the heap. "3" - Print the minimum of all the elements in the heap. NOTE: It is guaranteed that the element to be deleted will be there in the heap. Also, at any instant, only distinct element

View Solution →

Jesse and Cookies

Jesse loves cookies. He wants the sweetness of all his cookies to be greater than value K. To do this, Jesse repeatedly mixes two cookies with the least sweetness. He creates a special combined cookie with: sweetness Least sweet cookie 2nd least sweet cookie). He repeats this procedure until all the cookies in his collection have a sweetness > = K. You are given Jesse's cookies. Print t

View Solution →