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C++ implementation of minimum-calorie knapsack problem. (Dynamic programming algorithm demonstration)

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Minimum-Calorie Knapsack Problem

Author: Cody Nault

Date: 5/29/2015

This is a C++ implementation of a classic Knapsack problem with a restaurant twist. The goal here is to take in a list of food items, with their corresponding cost and calorie count, and find the minimum number of calories that we can but with exactly X amount of money. This program demonstrates both memoized and iterative dynamic programming techniques of finding a solution efficiently. It then displays a solution that will lead to the optimal result.

Installation

To Install the application simple run make from the current project directory. make compiles files to the bin directory

Running

To run simply call ./chipotle from the project directory. Graph data input files are supplied in the application using standard input.

Additional Notes

My code exists in 2 different files src/chipotle.C include/chipotle.h Both are required for successful compilation

Results

The following commands where run from the root directory and produced these results which match the expected output.

$ ./chipotle < bin/inSample2.txt Iterative: Not possible to spend exactly: 950

Memoized: Not possible to spend exactly: 950

$./chipotle < bin/inSample3.txt Iterative: Possible to spend exactly: 1000000 Minimum calories: 725166 B 2 C 3620 D 2

Memoized: Possible to spend exactly: 1000000 Minimum calories: 725166 B 2 C 3620 D 2

$./chipotle < bin/inSample4.txt Iterative: Possible to spend exactly: 1978624 Minimum calories: 1758977 C 1 D 1 H 1 K 4394

Memoized: Possible to spend exactly: 1978624 Minimum calories: 1758977 C 1 D 1 H 1 K 4394

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C++ implementation of minimum-calorie knapsack problem. (Dynamic programming algorithm demonstration)

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