public RucksackNaive(RucksackInput I)
{
B = I.MaxVolume;
n = I.Length;
vol = new SpecialArray <float>(I.Wares.Select(_ => (float)_.Volume));
p = new SpecialArray <float>(I.Wares.Select(_ => (float)_.Price));
}
public ARkRucksack(RucksackInput I, float k)
{
this.k = k;
var waren = I.Wares.Select(w => new Ware(w.Volume, (int)(w.Price / k)));
RucksackInput Ired = new RucksackInput(I.MaxVolume, waren.ToArray());
algo = new DynRucksack(Ired);
}
public DynRucksack(RucksackInput I)
{
B = I.MaxVolume;
n = I.Length;
vol = new SpecialArray <float>(I.Wares.Select(_ => (float)_.Volume));
p = new SpecialArray <float>(I.Wares.Select(_ => (float)_.Price));
Psum = (int)p.Sum();
Pmax = (int)p.Max();
FTable = new Table <float>(n, Psum, initValue: float.NaN);
}
public FPASRucksack(RucksackInput I, float eps)
{
if (eps <= 0.0 || eps >= 1.0)
{
throw new ArgumentOutOfRangeException(nameof(eps));
}
int n = I.Length;
float Pmax = I.Wares.Max(x => x.Price);
float k = eps * (Pmax / n);
algo = new ARkRucksack(I, k);
}
static void Main(string[] args)
{
//var testData1 = new RucksackInput(
// 5000,
// new Ware(10, 60),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 400),
// new Ware(200, 100),
// new Ware(200, 100),
// new Ware(200, 100),
// new Ware(200, 100),
// new Ware(200, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(20, 100),
// new Ware(30, 120)
//);
//var testData2 = new RucksackInput(
// 3,
// new Ware(1, 1),
// new Ware(1, 2)
//);
//// P08 from https://people.sc.fsu.edu/~jburkardt/datasets/knapsack_01/knapsack_01.html
//// optimal profit of 13549094
//var testData3 = new RucksackInput(
// 6404180,
// new Ware(382745, 825594),
// new Ware(799601, 1677009),
// new Ware(909247, 1676628),
// new Ware(729069, 1523970),
// new Ware(467902, 943972),
// new Ware(44328, 97426),
// new Ware(34610, 69666),
// new Ware(698150, 1296457),
// new Ware(823460, 1679693),
// new Ware(903959, 1902996),
// new Ware(853665, 1844992),
// new Ware(551830, 1049289),
// new Ware(610856, 1252836),
// new Ware(670702, 1319836),
// new Ware(488960, 953277),
// new Ware(951111, 2067538),
// new Ware(323046, 675367),
// new Ware(446298, 853655),
// new Ware(931161, 1826027),
// new Ware(31385, 65731),
// new Ware(496951, 901489),
// new Ware(264724, 577243),
// new Ware(224916, 466257),
// new Ware(169684, 369261)
//);
//aufgabe 1 b
//int i = 1;
//aufgabe 1 c
int i = 10 ^ 5;
//var input = new RucksackInput(
// //Volumen Rucksack:
// 65,
// // Volumen, Nutzen
// new Ware(23, 15*i),//Essen
// new Ware(33, 23*i),//Zelt
// new Ware(11, 15*i),//Getränke
// new Ware(35, 33*i),//Pullover
// new Ware(11, 32*i) //MP3-Player
//);
var input = new RucksackInput(
//Volumen Rucksack:
50,
// Volumen, Nutzen
new Ware(30, 120), //Essen
new Ware(20, 100), //Zelt
new Ware(10, 60)
);
var algo = new DynRucksack(input);
//var algo = new ARkRucksack(input, 10);
//var algo = new FPASRucksack(input, (float)0.1);
//var algo = new RucksackNaive(input);
var sw = new Stopwatch();
sw.Start();
RucksackResult result = algo.Compute();
sw.Stop();
Console.WriteLine($"The price is {result.Price}, the used volume is {result.UsedVolume} and the repeat count is {result.Repeats} and took {sw.Elapsed}.");
Console.WriteLine(result.Table.ToString());
Console.ReadKey();
}
