Slope Trick
Author: Benjamin Qi
Slope trick refers to a way to manipulate piecewise linear convex functions. Includes a simple solution to USACO Landscaping.
Tutorials
Resources | |||
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CF | 3 problems using this trick | ||
CF | clarifying the above and another example problem |
From the latter link (modified):
Slope trick is a way to represent a function that satisfies the following conditions:
- It can be divided into multiple sections, where each section is a linear function (usually) with an integer slope.
- It is a convex/concave function. In other words, the slope of each section is non-decreasing or non-increasing when scanning the function from left to right.
It's generally applicable as a DP optimization.
Pro Tip
Usually you can come up with a slower (usually ) DP first and then optimize it to with slope trick.
The rest of this module assumes that you know the basic idea of this trick. In particular, you should be at least somewhat familiar with the time solution to the first problem in zscoder's tutorial:
It's ok if you found the explanations confusing; the example below should help clarify.
Buy Low Sell High
Slow Solution
Let denote the maximum amount of money you can have on day if you have exactly shares of stock on that day. The final answer will be . This solution runs in time.
Slow Code
If we run this on the first sample case, then we get the following table:
Input: 9 10 5 4 7 9 12 6 2 10 Output: dp[0] = { 0} dp[1] = { 0, -10} dp[2] = { 0, -5, -15} dp[3] = { 0, -4, -9, -19} dp[4] = { 3, -2, -9, -16, -26} dp[5] = { 7, 0, -7, -16, -25, -35} dp[6] = { 12, 5, -4, -13, -23, -35, -47} dp[7] = { 12, 6, -1, -10, -19, -29, -41, -53} dp[8] = { 12, 10, 4, -3, -12, -21, -31, -43, -55} dp[9] = { 20, 14, 7, -2, -11, -21, -31, -41, -53, -65}
However, the DP values look quite special! Specifically, let
Then for all . In other words, as a function of is concave down.
Full Solution
Explanation
My Code
Extension
Stock Trading (USACO Camp): What if your amount of shares can go negative, but you can never have more than shares or less than ?
Potatoes & Fertilizers
Simplifying the Problem
Instead of saying that moving fertilizer from segment to segment costs , we'll say that it costs to move fertilizer from a segment to an adjacent segment.
Let the values of after all the transfers be . If we know this final sequence, how much did the transfers cost (in the best case scenario)? It turns out that this is just
We can show that this is a lower bound and that it's attainable. The term denotes the number of units of fertilizer that move from segment to segment . Namely, if is positive then units of fertilizer moved from segment to segment ; otherwise, units of fertilizer moved in the opposite direction. Note that it is never optimal to have fertilizer moving in both directions.
Let and define for each . Similarly, define and . Since we want for all , we should have Conversely, every sequence that satisfies this property corresponds to a valid way to assign values of .
Now you can verify that . This makes sense since moving one unit of fertilizer one position is equivalent to changing one of the by one (although always remain the same).
Slow Solution
For each and , let be the minimum cost to determine such that . Note that by definition, . We can easily calculate these values in time.
Full Solution
Explanation
My Code
USACO Landscaping
Status | Source | Problem Name | Difficulty | Tags | Solution | URL |
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Plat | Hard | Show TagsSlope Trick | External Sol |
This looks similar to the previous task (we're moving dirt instead of fertilizer), so it's not too hard to guess that slope trick is applicable.
Slow Solution
Let equal the number of ways to move dirt around the first flowerbeds such that the first flowerbeds all have the correct amount of dirt while the -th flowerbed has extra units of dirt (or lacks units of dirt if is negative). The answer will be .
Full Solution
Explanation
My Solution
Extension
We can solve this problem when is not so small by maintaining a map from to for all such that the latter quantity is nonzero. Then the operation "add to for all " corresponds to a point update in the map (advance()
in the code below).
Code (from Alex Wei)
Problems
Although we haven't provided any examples of this, some of the problems below will require you to merge two slope containers (usually priority queues).
Module Progress:
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