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TheAlgorithms/C++: dynamic_programming/0_1_knapsack.cpp Source File

std::array<int, n> &value) {

std::vector<std::vector<int> > maxValue(n + 1,

std::vector<int>(capacity + 1, 0));

items =

(weight) /

(weight[0]);

(

i = 0; i < items + 1; ++i) {

(

j = 0; j < capacity + 1; ++j) {

(i == 0 || j == 0) {

}

(weight[i - 1] <= j) {

profit1 = value[i - 1] + maxValue[i - 1][j - weight[i - 1]];

profit2 = maxValue[i - 1][j];

maxValue[i][j] = std::max(profit1, profit2);

maxValue[i][j] = maxValue[i - 1][j];

maxValue[items][capacity];

std::array<int, n1> weight1 = {10, 20, 30};

std::array<int, n1> value1 = {60, 100, 120};

capacity1 = 50;

capacity1, weight1, value1);

expected_max_value1 = 220;

assert(max_value1 == expected_max_value1);

std::cout <<

<< n1 <<

<< max_value1 << std::endl;

std::array<int, n2> weight2 = {24, 10, 10, 7};

std::array<int, n2> value2 = {24, 18, 18, 10};

capacity2 = 25;

capacity2, weight2, value2);

expected_max_value2 = 36;

assert(max_value2 == expected_max_value2);

std::cout <<

<< n2 <<

<< max_value2 << std::endl;

int maxKnapsackValue(const int capacity, const std::array< int, n > &weight, const std::array< int, n > &value)

Picking up all those items whose combined weight is below the given capacity and calculating the valu...

static void test()

Function to test the above algorithm.

int main()

Main function.

Dynamic Programming algorithms.

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