knapsack problem I
difficulty level: B; run time limit: 1000ms; run space limit: 51200KB; code length limit: 2000000B
Questions Description
has a backpack volume of v and n items, and gives each item a volume. Request from n items, any number of packs into the backpack, so that the remaining space of the backpack
Poke here: 2844Review the knapsack problemTest instructions: Tell you the value and quantity of the coins in N, how many different denominations can be composed, the denomination is limited in the interval [1, M]Idea: Cover one side with a backpack, take the space of the coin for its own value, then when the dp[i] = = i, the space for I backpack back filled, that can constitute the case of denomination I1#i
For a given tree, each node has a weight value. You must select the K points with the highest total weight. At the same time, any of the K points cannot be the ancestor of other nodes ..
Analysis: Ha, I feel like a tree-shaped backpack as soon as I see the question, but there are too many nodes and 150000 nodes. If I save it with a two-dimensional array, it's easy to write, however, the memory is definitely exploding, so a temporary array is enabled
Tags: Small trouble DP full backpack Question: There are d kinds of stocks, each of which has a purchase amount and income,You have the principal C. What is the maximum investment income after year? Analysis: Here, we can know that each type of stock can be purchased for an unlimited number of times, so we can see that it is a full backpack problem, and we can regard the principal C as a
Backpack |Given n items with a size Ai, an integer m denotes the size of a backpack. How can I fill this backpack?ExampleIf we have 4 items with a size [2, 3, 5, 7] , the backpack size is one, we can select [2, 3, 5] , so, the max size we can fill thi s backpack is 10 . If T
If it's a backpack interface that uses a grid backpack, like the "Diablo" backpack, that's how I define the structure. The discovery is similar to the original paper-opening algorithm, but it happens in reverse. Anyway, it's good to think about it and realize it.The placeholder for an item, the default upper-left corner is the (0,0) point. Planning in filling in
After reading the multiple backpacks mentioned in section 9, this question should be easily made.
Model:
YesN items and a backpack with a capacity of v. A maximum of N [I] items are available for the I-th item. The cost per item is C [I] and the value is W [I]. Solving which items are loaded into a backpack can make the total cost of these items not exceed the capacity of the
First, the problem description0-1 knapsack problem, part knapsack problem. The DP algorithm of 0-1 knapsack, the greedy algorithm of partial knapsack and DP algorithm are implemented respectively.Second, the principle of the algorithm(1) 0-1-pack DP algorithm0-1 knapsack problem: There are n items and a backpack with a capacity of W. The weight of article I is w[i], the value is v[i]. The solution of which items are loaded into the
Appendix: backpack problems in usaco
Usaco, short for USA computing Olympus, organizes many global computer competitions.
Usaco trainng is a very suitable Question Bank for beginners. I think it is characterized by a high quality and gradual process of questions. It also has good texts and question analysis. Text knapsack problems is also worth reading.
In addition, usaco contest is a global competition series organized by usaco all the year roun
Tags: algorithm Dynamic Planning
0-1 backpack problems:
There are n items and a backpack with a capacity of v. The weight of the I-th item is W [I], and the value is V [I]. Solving which items are loaded into a backpack can make the total weight of these items not exceed the size of the backpack, and the tota
Backpack Management
Lattice management
Item Management
Item Information Management
a simple backpack function, should be divided into 3 parts, namely Backpack management , lattice , items . class Inventory -This category is mainly used to manage the entire backpack, including the sorting of items, pick
This question is very novel .....
When I used to perform a backpack, why didn't I think I could find the k-th optimal solution? I knew that I could just write a DP [vol] and directly find the optimal solution that I could achieve =-=
At the beginning, I ignored a little bit of DP [x] 1-vol stored in the optimal solution that can be stored in the current x volume... so if I choose to traverse this array to find the k-th solution, it will definitely not
. N The second line contains n positive integers, indicating the price of each dish. The price cannot exceed 50.The third row contains a positive integer m, indicating the balance on the card. M
N = 0 indicates that the data has ended.
For each group of inputs, output a line containing an integer, indicating the possible minimum balance on the card.
Sample Input
1505101 2 3 2 1 1 2 3 2 1500
Sample output
-4532
Sourceuestc 6th Programming Contest online
Recommendlcy
Algorithm: greedy idea + 01
. I have read the first few articles about backpack 9 these two days, and I am very familiar with it. 01 The V (volume of the backpack) starts to update when the backpack is updated. The full backpack can be updated directly from the current item (V [I. The reason is that a full ba
http://poj.org/problem?id=1015The question is: in a distant country Frobnia, the suspect is guilty and must be decided by the jury. The jury was chosen by the judge from the public. A random selection of N-individuals as a jury candidate, and then from the N-person selected m people to form a jury. The option for M-Men is that the prosecution and the defense will rate all candidates based on their liking for the candidate, with a score of 0 to 20. To be fair, the judge's principle of electing a
HDU 1284 coin exchange problem (full backpack: Entry question), hdu1284
HDU 1284 coin exchange problem (full backpack: Getting Started)
Http://acm.hdu.edu.cn/showproblem.php? Pid = 1, 1284
Question:
In a country with only one cent, two cent, and three cent coins, there are many exchange methods to convert money N (N
Analysis: Basic full backpack problems.
This q
Question address: http://poj.org/problem? Id = 1837
At the beginning of this question, there is really no idea. Even if someone says it is a 01 backpack, they still don't know how to replace the model with a 01 backpack.
In a classic backpack, items are generally composed of items (WI, vi). Wi indicates its weight and VI indicates its value. Then, a fixed-capacit
I haven't done any DP questions for a long time. I saw the puzzle question of FB, which is obviously a backpack problem, but I still can't write code. Therefore, the dedicated exercise code is king.
This topic is basically the 01 backpack, but it is still not written. It was just half a day after someone else's program was imitated. This article is your own study notes. If you think it is simple, please mak
; =S1 Lt; = 100, 10 lt; =P1S1S2P1P2N=M= 0.
Output
For each test case, print the maximal number of people you can serve.
Sample Input
2 10010 8 10 10 13 1112 20 6 10 17 243 6510 5 7 10 13 1410 5 8 11 14 1510 5 9 12 15 160 0
Sample output
52Ask a friend to prepare n kinds of raw materials. Each raw material has six parameters: X, Y, S1, P1, S2, and P2. The meaning is: For the I raw materials, the demand for each person is X, and there is still the amount of Y, each raw material has two kinds of p
Test instructions: There are n cows, each cow has a smart value and a fun value, may be positive also may be negative, asked to select N cows to make their smart value and s and fun and F are not negative, and the s+f value is the most demanding.Analysis:A good backpack DP problem, we use the smart value as the volume of the item, the fun value as the value of the item, each item can only be taken once, we ask for each
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