Question link: http://acm.hdu.edu.cn/showproblem.php? PID = 1, 4003
Given a tree with N nodes, traversing each number of edges requires cost. Now, given K robots, we need to use these K robots to traverse the entire tree, minimum and cost, n
Solution: tree-like DP + grouping backpack. The grouping backpack in this question is not a general choice of at most one item, but must be selected and can only be se
The most comprehensive installation and maintenance guide for IBMSystemx3650 server in history [register an award-winning IBM backpack]-Linux Enterprise Application-Linux server application information. The following is a detailed description.
The most comprehensive IBM System x3650 installation and maintenance guide in historyThis document contains instructions for installing the IBM System x3650 T 7979 server and basic instructions for some of the
0-1 Backpack:0-1 Backpack is the basis of knapsack problem, it derived from the knapsack problem roughly with the same idea.And since it belongs to the dynamic programming problem, its method lies in two steps: 1) define the state: Ans[i][t] represents the maximum value of the first item selected in the capacity of T, only 2) to determine the state transition equation: ans[i][t]=max{ans[i-1][t],ans[i][t-t [
· Self-help travel guide: There are several famous publishers in the world, such as lonely planet and let's
Go, discovery, and other books on tour guides around the world. Eating, drinking, and sleeping, history, and cultural attraction Taboos must be fixed. It is generally updated once a year or two years. However, if you have bought an old version, you can download it from the Internet. The only problem is that it is in English. It seems that I have introduced a Japanese (not remembering the
Hdu 1398 Square Coins (primary function, full backpack), hducoins
Link: hdu 1398
There are 17 currencies with an unlimited denomination of I * I (1
Given a value of n (n
Analysis: You can use the idea of the primary function to pre-process the values less than 300.
You can also use a full backpack to calculate the number of solutions within 300.
Primary function:
# Include
Full
Dynamic Planning: backpack problems, dynamic planningBackpack Problems
There are N items and a backpack with a capacity of V. The size of the I item is c [I], and the value is w [I]. Solving which items are loaded into a backpack can maximize the total value.
State transition equation:
F [I] [v] = max (f [I-1] [v], f [I-1] [v-c [I] + w [I])
This equation
Ultraviolet A 10306 e-Coins (two-dimensional full backpack), 10306e-coins
At the Department for Bills and Coins, an extension of today's monetary system has newly been proposed, in order to make it fit the new economy better. A number of new so called e-coins will be produced, which, in addition to having a value in the normal sense of today, also have an infographic ical value. the goal of this reform is, of course, to make justice to the economy of
Link: http://acm.hdu.edu.cn/showproblem.php? PID = 1, 2955
Question:
The thief wants to steal money from the bank.
Give you the maximum probability of being caught, and n Banks
The N rows below represent the amount of money the bank has and the maximum probability of being arrested.
At this time, the key thing is how to write dynamic equations.
The 10 backpacks we learned are made up of two types: one is the maximum size of the backpack, and the ot
When I was a beginner, I tried to solve the problem with greedy ideas, but I still couldn't think of it for more than an hour.
// The two parameters F [k] in Max, and f [k-weight [I] + value [I] indicate the maximum value when the backpack capacity is K. // F [k] Is this meaning, not to mention. // While F [k-weight [I] + value [I] also indicates the maximum value when the backpack capacity is K. Why? // Fi
We regard patience as the size of the backpack, experience as the value, and increase the number of one-dimensional constraints. This is a typical knapsack problem.
We define DP [J] [k] to indicate that the backpack capacity is J, and select the maximum value that K items can achieve. In fact, this is the result of the previous dimension omitted. We can clearly define DP [I] [J] [k] to indicate the items
Uva674-Coin Change (full backpack)
Question: uva674-Coin Change (full backpack)
Give 1 5 10 25 50 coins with the nominal value of 5, then give N, and ask the number of different ways to make up N with the money. 1 5 and 5 1 indicate that the order is the same.
Solution: A full backpack. State equation: dp [j] + = dp [j-v [I ]];
Code:
#include
#include
Uva10130-SuperSale (01 backpack)
Question: uva10130-SuperSale (01 backpack)
Question: Supermarket sales. There are n items, each of which has the corresponding value and weight. One family wants to go to the supermarket to buy things. Each person can only buy one item for each type of sale. They can take many different items but can take them. Give everyone the maximum weight they can take, and ask such a
UV 624 CD (01 backpack), uva624
[Question link]: click here ~~
Code:
/** Problem: VA No. 624 * Running time: 0 MS * Complier: C ++ * Author: javaherongwei * Create Time:, Tuesday, seeking the recording sequence whose sum is not greater than N [Train of Thought] requires the sum to be closest to N. You can use the 01 backpack idea to regard different tracks as the size of a
HihoCoder-1038-01 backpack (Classic dynamic planning problem !!)
#1038: 01 backpack time limit: 20000 ms single point time limit: 1000 ms memory limit: 256 MB
Description
In addition, in the story of the previous week, Xiao Hi and Xiao Ho finally got a large number of coupons! Now, it's time for Mr. Ho to get the rewards!
Mr. Ho now has M coupons, and N prizes in the prize area are marked as 1 to N respecti
HDU 1114 Piggy-Bank (full backpack), hdupiggy-bank
Piggy-Bank
Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others)
Total Submission (s): 14728 Accepted Submission (s): 7450
Problem Description
Before ACM can do anything, a budget must be prepared and the necessary financial support obtained. the main income for this action comes from Irreversibly Bound Money (IBM ). the idea behind is simple. whenever some ACM member has
each case, print the case number and the maximum number of millions he can expect to get while the probability of Gett ING caught is less than P.
Sample Input
Output for Sample Input
30.04 31 0.022 0.033 0.050.06 32 0.032 0.033 0.050.10 31 0.032 0.023 0.05
Case 1:2Case 2:4Case 3:6
NoteFor the first case, if he wants to rob Bank 1 and 2, then the probability of getting caught is 0.02 + (1-0.02) *. 03 = 0.0494which is greater than the given prob
http://acm.hdu.edu.cn/showproblem.php?pid=3466Http://www.cnblogs.com/andre0506/archive/2012/09/20/2695841.htmlThis problem has a more restrictive condition QI, can not be purchased below Qi.The problem-solving idea is to look at the amount of updates, because the limit is the amount of updates.For example, an item is 5 9, an item is 5 6, on the first backpack when only dp[9],dp[10],..., dp[m], and then to the second
of coins of appropriate values Charlie should use to pay the coffee While using as many coins as possible. In the case Charlie does isn't possess enough change to pay the price of the coffee exactly, your program should output "Cha Rlie cannot buy coffee. "Sample Input12 5 3 1 216 0 0 0 10 0 0 0 0Sample OutputThrow in 2 cents, 2 nickels, 0 dimes, and 0 quarters. Charlie cannot buy coffee.Test instructions: Give the price of what you want to buy p, there are four coins in denominations of 1,5,10
Test instructions: There are n denominations of coins a[i], each coin has c[i], asked to be composed of not less than the number of M (1~m).Multi-Backpack Template: by backpack nine speaking.#include HDU 2844 Coins (multiple backpack)
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