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Home/ Questions/Q 418735
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T18:42:29+00:00 2026-05-12T18:42:29+00:00

Imagine I have var points = new Point[] { new Point(1, 2), new Point(2,

  • 0

Imagine I have

 var points = new Point[]
 {
     new Point(1, 2),
     new Point(2, 3)
 };

To get the point with the minimum X I could:

 var result = points.OrderBy(point => point.X).First();

But for large arrays, I don’t think this is the faster option. There is a faster alternative?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-12T18:42:29+00:00Added an answer on May 12, 2026 at 6:42 pm

    It is better to use

    int x = points.Min(p => p.X);
    var result = points.First(p => p.X == x);
    

    as this eliminates the necessity of sorting this list (i.e., it is O(n) as opposed to, say, O(n log n)). Further, it’s clearer than using OrderBy and First.

    You could even write an extension method as follows:

    static class IEnumerableExtensions {
        public static T SelectMin<T>(this IEnumerable<T> source, Func<T, int> selector) {
            if (source == null) {
                throw new ArgumentNullException("source");
            }
    
            int min = 0;
            T returnValue = default(T);
            bool flag = false;
    
            foreach (T t in source) {
                int value = selector(t);
                if (flag) {
                    if (value < min) {
                        returnValue = t;
                        min = value;
                    }
                }
                else {
                    min = value;
                    returnValue = t;
                    flag = true;
                }
            }
    
            if (!flag) {
                throw new InvalidOperationException("source is empty");
            }
    
            return returnValue;
        }
    

    Usage:

    IEnumerable<Point> points;
    Point minPoint = points.SelectMin(p => p.X);
    

    You can generalize to your needs. The advantage of this is that it avoids potentially walking the list twice.

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