Problem:
0-1 Knapsack Problem

You have N items that you want to put them into a knapsack. Item i has value vi and weight wi.

You want to find a subset of items to put such that:

The total value of the items is as large as possible.

The items have combined weight at most W, that is capacity of the knapsack.

Find the maximum total value of items in the knapsack.

Input

N W
v1 w1
v2 w2
:
vN wN

The first line consists of the integers N and W. In the following lines, the value and weight of the i-th item are given.

Output

Print the maximum total values of the items in a line.

Constraints

1 ≤ N ≤ 100

1 ≤ vi ≤ 1000

1 ≤ wi ≤ 1000

1 ≤ W ≤ 10000

Sample Input 1

4 5
4 2
5 2
2 1
8 3

Sample Output 1

13

Sample Input 2

2 20
5 9
4 10

Sample Output 2

9

Solution in C# (judge verdict: Accepted)

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text.RegularExpressions;
using Library;
using static Library.Input;

namespace AtCoderTemplate {
    class ProgramB {
        static void Main () {
            int N = NextInt, W = NextInt;
            var dp = Enumerable.Repeat((long)int.MinValue, W + 1).ToArray();

            dp[0] = 0;
            for (int i = 0; i < N; i++)
            {
                int value = NextInt, weight = NextInt;
                for (int j = W; j - weight >= 0; j--)
                {
                    dp[j] = Math.Max(dp[j], dp[j - weight] + value);
                }
            }

            System.Console.WriteLine(dp.Max());
        }
    }
}

namespace Library {
    class Input {
        static IEnumerator<string> enumerator = new string[] { }.AsEnumerable ().GetEnumerator ();

        public static string Line => Console.ReadLine ();

        public static string[] StrArr => Line.Split (' ');

        public static int NextInt => int.Parse (NextWord ());

        public static long NextLong => long.Parse (NextWord ());

        public static List<int> IntList => StrArr.Select (int.Parse).ToList ();

        public static List<long> LongList => StrArr.Select (long.Parse).ToList ();

        public static IEnumerable<long[]> TakeLine (int N) {
            return Enumerable.Repeat (0, N).Select (_ => Console.ReadLine ().Split (' ').Select (long.Parse).ToArray ());
        }

        public static string NextWord () {
            while (!enumerator.MoveNext ()) {
                enumerator = StrArr.AsEnumerable ().GetEnumerator ();
            }
            return enumerator.Current;
        }
    }
}

namespace Library {
    
    class Modular {
        public const int mod = 1000000007;
        public readonly long value;
        public Modular (long value) { this.value = value; }
        public static implicit operator Modular (long a) {
            var m = a % mod;
            return new Modular ((m < 0) ? m + mod : m);
        }
        public static Modular operator + (Modular a, Modular b) {
            return a.value + b.value;
        }
        public static Modular operator - (Modular a, Modular b) {
            return a.value - b.value;
        }
        public static Modular operator * (Modular a, Modular b) {
            return a.value * b.value;
        }
        public static Modular Pow (Modular a, int n) {
            switch (n) {
                case 0:
                    return 1;
                case 1:
                    return a;
                default:
                    var p = Pow (a, n / 2);
                    return p * p * Pow (a, n % 2);
            }
        }
        public static Modular operator / (Modular a, Modular b) {
            return a * Pow (b, mod - 2);
        }
        private static readonly List<int> facs = new List<int> { 1 };
        private static Modular Fac (int n) {
            for (int i = facs.Count; i <= n; ++i) {
                facs.Add ((int) (Math.BigMul (facs.Last (), i) % mod));
            }
            return facs[n];
        }
        public static Modular Ncr (int n, int r) {
            return (n < r) ? 0 :
                (n == r) ? 1 :
                Fac (n) / (Fac (r) * Fac (n - r));
        }
        public static explicit operator int (Modular a) {
            return (int) a.value;
        }
    }

}
namespace Library {
    class MyMath {
        public static long Gcd (long a, long b) {
            return b == 0 ? a : Gcd (b, a % b);
        }

        public static long Sqrt (long n) {
            if (n < 0) return 0;
            long a = 0, tmp = 0, b = 0;
            for (int i = 62; i >= 0; i -= 2) {
                tmp = (b << 1) + 1 <= (n >> i) ? 1 : 0;
                a = a << 1 | tmp;
                n -= (((b << 1) + 1) * tmp) << i;
                b = (b << 1) + tmp + tmp;
            }
            return a;
        }

        public static long Nck (int n, int k) {
            if (k == 0) return 1;
            if (n == 0) return 0;
            return n * Nck (n - 1, k - 1) / k;
        }
    }
}

namespace Library {
        public class PriorityQueue<T> {

        readonly List<T> _heap = new List<T> ();
        readonly Comparison<T> _comparison;

        public PriorityQueue (Comparison<T> comparison) {
            _comparison = comparison;
        }

        public PriorityQueue () : this (Comparer<T>.Default.Compare) { }

        public PriorityQueue (IComparer<T> comparer) : this (comparer.Compare) { }

        public void Enqueue (T item) {
            _heap.Add (item);

            int childID = _heap.Count - 1;
            int parentID = (childID - 1) / 2;

            while (childID > 0 && _comparison (_heap[parentID], _heap[childID]) > 0) {
                Swap (parentID, childID);
                childID = parentID;
                parentID = (parentID - 1) / 2;
            }
        }

        public T Dequeue () {
            var first = _heap.First ();
            _heap[0] = _heap.Last ();
            _heap.RemoveAt (_heap.Count - 1);

            int parentID = 0;
            int childID = parentID * 2 + 2;
            if (childID >= _heap.Count || _comparison (_heap[childID], _heap[childID - 1]) > 0) childID--;

            while (childID < _heap.Count && _comparison (_heap[parentID], _heap[childID]) > 0) {
                Swap (parentID, childID);
                parentID = childID;
                childID = parentID * 2 + 2;
                if (childID >= _heap.Count || _comparison (_heap[childID], _heap[childID - 1]) > 0) childID--;
            }

            return first;
        }

        void Swap (int parent, int child) {
            var tmp = _heap[parent];
            _heap[parent] = _heap[child];
            _heap[child] = tmp;
        }

        public T Peek () { return _heap[0]; }
        public int Count => _heap.Count;
        public bool Any () { return _heap.Any (); }
        public List<T> Data => _heap;
    }
}

namespace Library {
    
    public class UnionFind {
        public int[] Parents { get; set; }
        public UnionFind (int size) {
            Parents = Enumerable.Repeat (-1, size).ToArray ();
        }

        public int Find (int num) {
            if (Parents[num] < 0) return num;

            Parents[num] = Find (Parents[num]);
            return Parents[num];
        }

        public int Size (int num) {
            return -Parents[Find (num)];
        }

        public bool Same (int a, int b) {
            return Find (a) == Find (b);
        }

        public void Unite (int a, int b) {
            int x = Find (a), y = Find (b);

            if (Size (x) > Size (y)) {
                Parents[x] += Parents[y];
                Parents[y] = x;
            } else {
                Parents[y] += Parents[x];
                Parents[x] = y;
            }
        }
    }
}