LKS - Large Knapsack

The knapsack problem or rucksack problem is a problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. It derives its name from the problem faced by someone who is constrained by a fixed-size knapsack and must fill it with the most valuable items.

Just implement 0/1 Knapsack.


First line contains two integers K and N, where K in the maximum knapsack size and N is the number of items. N lines follow where ith line describes ith item in the form vi and wi where vi is the value and wi is the weight of ith item.


Output a single number - maximum value of knapsack. (All operations and the answer are guaranteed to fit in signed 32-bit integer.)

Time limit changed to 2s on 02.07.11.


10 3
7 3
8 8
4 6



K <= 2000000
N <= 500
Vi <= 10^7
Wi <= 10^7

hide comments
bhavya singh: 2016-06-29 13:26:00

TLE in C
AC in C++
why ? :/

sanjay: 2016-05-28 14:07:53


ranjanakash166: 2016-03-29 20:30:22

its getting internal error in c++ 5.1 while the same code got AC in c++ 4.3.2!!!

darragh: 2016-02-20 21:32:58

If you want to know how to do it in 0.0 time just look up best first branch and bound.

minhthai: 2016-02-18 11:49:53

even O(k) space in java cannot get AC :(( any hint?

Shubham Khandelwal: 2016-02-03 18:32:06

Was getting TLE but changing array type from long long to int, turned to AC. O(N*k) gets AC

manas0008: 2016-02-02 17:33:20

Do only space optimisation but not time.First try WACHOVIA problem.

sudip_95: 2016-01-28 09:35:05

solved in 1.45s after optimizing. Can't understand how it can be solved in 0.00s. Can anyone explain how?

shantanu tripathi: 2016-01-11 16:44:25

lots of optimization needed from memory to time complexity.... nice :)

jefry33: 2015-12-12 07:42:33

Guys, can you help me? how to decrease memory for this problem? i using dynamic programming and it using large memory in Array...

Added by:Shikhar
Time limit:2s
Source limit:50000B
Memory limit:1536MB
Cluster: Cube (Intel G860)
Languages:All except: ASM64