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| 1 | +package com.mycompany; |
| 2 | + |
| 3 | +/* |
| 4 | + Algo question: |
| 5 | + N people, M restaurants, on a one-dimensional street. All the people are to meet at one restaurant, |
| 6 | + find the restaurant, where total travel distance from all people to that restaurant is the shortest among all restaurants. |
| 7 | +
|
| 8 | + The problem can be solved with brutal force with O(n*m) complexity. Question is how to solve it faster than brutal force. |
| 9 | + Describe the algorithm, and why it is better than brutal force. Coding is not required |
| 10 | +
|
| 11 | + [zc] this is one dimensional street. |
| 12 | +
|
| 13 | + A list of people can be represented with their coordinates (p1, p2, ... pn). |
| 14 | +
|
| 15 | + A list of restaurant can be represented with their coordinates (r1, r2, ... rm) |
| 16 | +
|
| 17 | + The distance between i-th people and j-th restaurant can be calculated as ABS(pi - rj) |
| 18 | +
|
| 19 | + Time Complexity of BruteForce Algorithm 1: O(M * N) |
| 20 | +
|
| 21 | + Time Complexity of Proposed Algorithm 2 : O(M+N) |
| 22 | + This Algorithm tries to compute the distance in two passes of the Combined Sorted List |
| 23 | + Once from Left to Right and Another time from Right to Left |
| 24 | + Time Complexity of the Algorithm : |
| 25 | + O(M+N) : counting sort |
| 26 | + O(M+N) : Left to Right Traversal |
| 27 | + O(M+N) : Right to Left Traversal |
| 28 | + O(M) : traversal over the restautart list to find the minimal cost |
| 29 | + Overall Complexity = O(3 * (M+N) + M), removing constant multiplier and lower order terms it is O(M+N) |
| 30 | +
|
| 31 | + Space Complexity : Needs O(M+N) extra storage for the combine list and O(M) addtional space to store |
| 32 | + two lists of Restaurant objects for Left to Right and Right to Left Traversal respectively. |
| 33 | +
|
| 34 | + */ |
| 35 | + |
| 36 | +import java.util.*; |
| 37 | + |
| 38 | +public class AlgoQuestion { |
| 39 | + |
| 40 | + public static void main(String[] args) { |
| 41 | + |
| 42 | + int[] people = new int[]{1,2,4,6,7}; |
| 43 | + int[] restaurants = new int[]{1,3,5}; |
| 44 | + int restaurantWithShortedDist = getShortestDistanceBruteForce(people, restaurants); |
| 45 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 46 | + |
| 47 | + restaurantWithShortedDist = getShortestTotalDistanceOptimal(people, restaurants); |
| 48 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 49 | + |
| 50 | + people = new int[]{3,4,2,5,9}; |
| 51 | + restaurants = new int[]{4,6,7}; |
| 52 | + restaurantWithShortedDist = getShortestDistanceBruteForce(people, restaurants); |
| 53 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 54 | + |
| 55 | + restaurantWithShortedDist = getShortestTotalDistanceOptimal(people, restaurants); |
| 56 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 57 | + |
| 58 | + people = new int[]{2,6,8,10,11}; |
| 59 | + restaurants = new int[]{7,9}; |
| 60 | + restaurantWithShortedDist = getShortestDistanceBruteForce(people, restaurants); |
| 61 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 62 | + |
| 63 | + restaurantWithShortedDist = getShortestTotalDistanceOptimal(people, restaurants); |
| 64 | + System.out.println("Nearest Restaurant for all people is: " + (restaurantWithShortedDist)); |
| 65 | + |
| 66 | + } |
| 67 | + |
| 68 | + public static int getShortestDistanceBruteForce(int[] people, int[] restaurants) { |
| 69 | + int resultRestaurant= -1; |
| 70 | + int globalMin = Integer.MAX_VALUE; |
| 71 | + int totalOperations = 0; |
| 72 | + for (int r=0; r < restaurants.length; r++) { |
| 73 | + int currentRSum = 0; |
| 74 | + for (int p=0; p < people.length; p++) { |
| 75 | + currentRSum += Math.abs(people[p] - restaurants[r]); |
| 76 | + totalOperations++; |
| 77 | + if (currentRSum > globalMin) { |
| 78 | + break; |
| 79 | + } |
| 80 | + } |
| 81 | + if (currentRSum < globalMin) { |
| 82 | + globalMin = currentRSum; |
| 83 | + resultRestaurant = r; |
| 84 | + } |
| 85 | + } |
| 86 | + System.out.println("Minimum Distance for all people: " + globalMin); |
| 87 | + return resultRestaurant; |
| 88 | + } |
| 89 | + |
| 90 | + public static class Triple { |
| 91 | + //distance |
| 92 | + int d; |
| 93 | + //r == true indicates restaurant |
| 94 | + //otherwise person |
| 95 | + boolean r; |
| 96 | + int index; |
| 97 | + |
| 98 | + public Triple(Integer d, Integer indx, boolean r) { |
| 99 | + this.d = d; |
| 100 | + this.r = r; |
| 101 | + this.index = indx; |
| 102 | + } |
| 103 | + public int getDistance() { |
| 104 | + return d; |
| 105 | + } |
| 106 | + } |
| 107 | + |
| 108 | + public static class Restaurant { |
| 109 | + int currentCost; |
| 110 | + int cumCost; |
| 111 | + int cumPeopleCount; |
| 112 | + int peopleCount; |
| 113 | + int currentCostRight; |
| 114 | + |
| 115 | + Triple r; |
| 116 | + |
| 117 | + public Restaurant(Triple r) { |
| 118 | + this.r = r; |
| 119 | + } |
| 120 | + |
| 121 | + //assumes setCostAndCount method already called. |
| 122 | + public void setCumCost(Restaurant prev) { |
| 123 | + //if prev is null, it means i am the first restaurant in the list |
| 124 | + if(prev == null) { |
| 125 | + cumCost = 0; |
| 126 | + cumPeopleCount = peopleCount; |
| 127 | + return; |
| 128 | + } |
| 129 | + cumCost = prev.cumCost+ prev.currentCost + Math.abs(r.d - prev.r.d) * prev.cumPeopleCount; |
| 130 | + cumPeopleCount = peopleCount + prev.cumPeopleCount; |
| 131 | + } |
| 132 | + |
| 133 | + public void setCostAndCount(int c, int count) { |
| 134 | + currentCost = c; |
| 135 | + peopleCount = count; |
| 136 | + } |
| 137 | + |
| 138 | + public void updateCostAndCount(int costUpdate, int countUpdate) { |
| 139 | + currentCost += costUpdate; |
| 140 | + peopleCount += countUpdate; |
| 141 | + currentCostRight = costUpdate; |
| 142 | + } |
| 143 | + } |
| 144 | + |
| 145 | + //Linear implementation. |
| 146 | + public static int getShortestTotalDistanceOptimal(int[] people, int[] restaurants) { |
| 147 | + |
| 148 | + int[] restaurantDistance = new int[restaurants.length]; |
| 149 | + List<Restaurant> restaurantsListLR = new ArrayList<>(); |
| 150 | + List<Restaurant> restaurantsListRL = new ArrayList<>(); |
| 151 | + List<Triple> combined = new ArrayList<>(); |
| 152 | + for (int i=0; i< people.length; i++) { |
| 153 | + combined.add(new Triple(people[i], i, false)); |
| 154 | + } |
| 155 | + for (int i=0; i< restaurants.length; i++) { |
| 156 | + Triple t = new Triple(restaurants[i], i, true); |
| 157 | + combined.add(t); |
| 158 | + restaurantsListLR.add(new Restaurant(t)); |
| 159 | + restaurantsListRL.add(new Restaurant(t)); |
| 160 | + } |
| 161 | + |
| 162 | + //TODO: do a Counting sort for people with restaurants |
| 163 | + //based on the distance from origin. |
| 164 | + //This will be O(M+N) when changed to Counting Sort |
| 165 | + combined.sort(Comparator.comparing(Triple::getDistance)); |
| 166 | + |
| 167 | + int runningCost = 0; |
| 168 | + int runningCount = 0; |
| 169 | + |
| 170 | + Restaurant prev = null; |
| 171 | + Restaurant current = null; |
| 172 | + for (int i=0; i < combined.size(); i++) { |
| 173 | + Triple t = combined.get(i); |
| 174 | + if (t.r) { |
| 175 | + //restaurant handling |
| 176 | + current = restaurantsListLR.get(t.index); |
| 177 | + current.setCostAndCount(Math.abs((runningCount * t.d) - runningCost), runningCount); |
| 178 | + runningCost = 0; |
| 179 | + runningCount = 0; |
| 180 | + current.setCumCost(prev); |
| 181 | + prev = current; |
| 182 | + |
| 183 | + } else { |
| 184 | + //people handling |
| 185 | + runningCost += t.d; |
| 186 | + runningCount++; |
| 187 | + } |
| 188 | + } |
| 189 | + |
| 190 | + //if at the end of this loop we have runningCost it needs to be attributed |
| 191 | + //to current restaurant |
| 192 | + if (runningCount > 0) { |
| 193 | + current.updateCostAndCount(Math.abs((runningCount * current.r.d) - runningCost), runningCount); |
| 194 | + } |
| 195 | + |
| 196 | + runningCost = 0; |
| 197 | + runningCount = 0; |
| 198 | + prev = null; |
| 199 | + current = null; |
| 200 | + |
| 201 | + for (int i= combined.size() -1; i >=0; i--) { |
| 202 | + Triple t = combined.get(i); |
| 203 | + if (t.r) { |
| 204 | + //restaurant handling |
| 205 | + current = restaurantsListRL.get(t.index); |
| 206 | + current.setCostAndCount(Math.abs((runningCount * t.d) - runningCost), runningCount); |
| 207 | + runningCost = 0; |
| 208 | + runningCount = 0; |
| 209 | + current.setCumCost(prev); |
| 210 | + prev = current; |
| 211 | + |
| 212 | + } else { |
| 213 | + //people handling |
| 214 | + runningCost += t.d; |
| 215 | + runningCount++; |
| 216 | + } |
| 217 | + } |
| 218 | + |
| 219 | + //if at the end of this loop we have runningCost it needs to be attributed |
| 220 | + //to current restaurant |
| 221 | + if (runningCount > 0) { |
| 222 | + current.updateCostAndCount(Math.abs((runningCount * current.r.d) - runningCost), runningCount); |
| 223 | + } |
| 224 | + |
| 225 | + int minCost = Integer.MAX_VALUE; |
| 226 | + int minIndex = -1; |
| 227 | + for (int i=0; i < restaurantsListLR.size(); i++) { |
| 228 | + Restaurant rL = restaurantsListLR.get(i); |
| 229 | + Restaurant rR = restaurantsListRL.get(i); |
| 230 | + int totalCost = 0; |
| 231 | + if (i==0) { |
| 232 | + totalCost = rL.currentCost + rR.cumCost + (rR.currentCost - rR.currentCostRight); |
| 233 | + } else if (i==restaurantsListLR.size() -1) { |
| 234 | + totalCost = (rL.currentCost - rL.currentCostRight) + rL.cumCost + rR.currentCost; |
| 235 | + } else { |
| 236 | + totalCost = rL.currentCost + rR.currentCost + rL.cumCost + rR.cumCost; |
| 237 | + } |
| 238 | + if (totalCost < minCost) { |
| 239 | + minCost = totalCost; |
| 240 | + minIndex = i; |
| 241 | + } |
| 242 | + //System.out.println("Total Cost at Restaurant:" + i + "=" + totalCost); |
| 243 | + } |
| 244 | + |
| 245 | + System.out.println("Minimum Distance for all people: " + minCost); |
| 246 | + return minIndex; |
| 247 | + } |
| 248 | + |
| 249 | + //Assumption the Street is of fixed length so we can apply Counting Sort |
| 250 | + //for the combined list of People and Restaurants |
| 251 | + public static int getShortestTotalDistance(int[] people, int[] restaurants) { |
| 252 | + |
| 253 | + int[] restaurantDistance = new int[restaurants.length]; |
| 254 | + List<Triple> combined = new ArrayList<>(); |
| 255 | + for (int i=0; i< people.length; i++) { |
| 256 | + combined.add(new Triple(people[i], i, false)); |
| 257 | + } |
| 258 | + for (int i=0; i< restaurants.length; i++) { |
| 259 | + combined.add(new Triple(restaurants[i], i, true)); |
| 260 | + } |
| 261 | + |
| 262 | + //TODO: do a Counting sort for people with restaurants |
| 263 | + //based on the distance from origin. |
| 264 | + //This will be O(M+N) when changed to Counting Sort |
| 265 | + combined.sort(Comparator.comparing(Triple::getDistance)); |
| 266 | + |
| 267 | + //This loop is O(M+N) |
| 268 | + int personSumTillNow = 0; |
| 269 | + int personCountTillNow = 0; |
| 270 | + int restaurantSeenTillNow = -1; |
| 271 | + |
| 272 | + for (int i=0; i < combined.size(); i++) { |
| 273 | + Triple t = combined.get(i); |
| 274 | + if (t.r) { |
| 275 | + //restaurant handling |
| 276 | + restaurantDistance[t.index] = Math.abs(personCountTillNow * t.d - personSumTillNow); |
| 277 | + restaurantSeenTillNow = t.index; |
| 278 | + } else { |
| 279 | + //people handling |
| 280 | + personSumTillNow += t.d; |
| 281 | + personCountTillNow += 1; |
| 282 | + //update only restaurants seen till now |
| 283 | + for (int j=restaurantSeenTillNow; j >=0; j--) { |
| 284 | + restaurantDistance[j] += (Math.abs(t.d - restaurants[j])); |
| 285 | + } |
| 286 | + } |
| 287 | + } |
| 288 | + |
| 289 | + int resultRestaurant= -1; |
| 290 | + int globalMin = Integer.MAX_VALUE; |
| 291 | + for (int i=0; i < restaurantDistance.length; i++) { |
| 292 | + if (restaurantDistance[i] < globalMin) { |
| 293 | + globalMin = restaurantDistance[i]; |
| 294 | + resultRestaurant = i; |
| 295 | + } |
| 296 | + } |
| 297 | + System.out.println("Minimum Distance for all people: " + globalMin); |
| 298 | + return resultRestaurant; |
| 299 | + } |
| 300 | + |
| 301 | +} |
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