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  • Update : 2017-12-18
  • Size : 723kb
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  • Author :为****
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Introduction - If you have any usage issues, please Google them yourself
Given n items and a knapsack. The weight of the item I is wi, the volume is Bi, its value is VI, the capacity of the knapsack is C, the volume is d. How do you choose to choose the items in the backpack to make the most of the total value of the items in the backpack? When choosing a backpack, there are only two options for each item I, that is, to be loaded into a backpack or not to be loaded into a backpack. You can't load an item I into a backpack many times, and you can't just load a part of the item I. A dynamic programming algorithm for solving this problem is designed and the computational complexity of the algorithm is analyzed.
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背包
背包\303
背包\303\303.cpp 1431 2017-11-13
背包\303\303.dsp 4514 2017-11-13
背包\303\303.dsw 512 2017-11-13
背包\303\303.ncb 50176 2017-11-30
背包\303\303.opt 48640 2017-11-30
背包\303\303.plg 1271 2017-11-13
背包\303\Debug
背包\303\Debug\303.exe 544811 2017-11-13
背包\303\Debug\303.ilk 786576 2017-11-13
背包\303\Debug\303.obj 249107 2017-11-13
背包\303\Debug\303.pch 269216 2017-11-13
背包\303\Debug\303.pdb 1090560 2017-11-13
背包\303\Debug\StdAfx.obj 1730 2017-11-13
背包\303\Debug\vc60.idb 74752 2017-11-30
背包\303\Debug\vc60.pdb 118784 2017-11-13
背包\303\ReadMe.txt 1190 2017-11-13
背包\303\StdAfx.cpp 290 2017-11-13
背包\303\StdAfx.h 769 2017-11-13
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