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Home/ Questions/Q 8403565
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Editorial Team
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Editorial Team
Asked: June 9, 20262026-06-09T22:22:39+00:00 2026-06-09T22:22:39+00:00

I’m dealing with the BigInteger class with numbers in the order of 2 raised

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I’m dealing with the BigInteger class with numbers in the order of 2 raised to the power 10,000,000.

The BigInteger Log function is now the most expensive function in my algorithm and I am desperately looking for an alternative.

Since I only need the integral part of the log, I came across this answer which seems brilliant in terms of speed but for some reason I am not getting accurate values. I do not care about the decimal part but I do need to get an accurate integral part whether the value is floored or ceiled as long as I know which.

Here is the function I implemented:

public static double LogBase2 (System.Numerics.BigInteger number)
{
    return (LogBase2(number.ToByteArray()));
}

public static double LogBase2 (byte [] bytes)
{
    // Corrected based on [ronalchn's] answer.
    return (System.Math.Log(bytes [bytes.Length - 1], 2) + ((bytes.Length - 1) * 8));
}

The values are now incredibly accurate except for corner cases. The values 7 to 7.99999, 15 to 15.9999, 23 to 23.9999 31 to 31.9999, etc. return -Infinity. The numbers seem to revolve around byte boundaries. Any idea what’s going on here?

Example:

LogBase2(                    1081210289) = 30.009999999993600 != 30.000000000000000
LogBase2(                    1088730701) = 30.019999999613300 != 30.000000000000000
LogBase2(                    2132649894) = 30.989999999389400 != 30.988684686772200
LogBase2(                    2147483648) = 31.000000000000000 != -Infinity
LogBase2(                    2162420578) = 31.009999999993600 != -Infinity
LogBase2(                    4235837212) = 31.979999999984800 != -Infinity
LogBase2(                    4265299789) = 31.989999999727700 != -Infinity
LogBase2(                    4294967296) = 32.000000000000000 != 32.000000000000000
LogBase2(                    4324841156) = 32.009999999993600 != 32.000000000000000
LogBase2(                  545958373094) = 38.989999999997200 != 38.988684686772200
LogBase2(                  549755813887) = 38.999999999997400 != 38.988684686772200
LogBase2(                  553579667970) = 39.009999999998800 != -Infinity
LogBase2(                  557430119061) = 39.019999999998900 != -Infinity
LogBase2(                  561307352157) = 39.029999999998300 != -Infinity
LogBase2(                  565211553542) = 39.039999999997900 != -Infinity
LogBase2(                  569142910795) = 39.049999999997200 != -Infinity
LogBase2(                 1084374326282) = 39.979999999998100 != -Infinity
LogBase2(                 1091916746189) = 39.989999999998500 != -Infinity
LogBase2(                 1099511627775) = 39.999999999998700 != -Infinity
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-09T22:22:41+00:00Added an answer on June 9, 2026 at 10:22 pm

    Try this:

    public static int LogBase2(byte[] bytes)
    {
        if (bytes[bytes.Length - 1] >= 128) return -1; // -ve bigint (invalid - cannot take log of -ve number)
        int log = 0;
        while ((bytes[bytes.Length - 1]>>log)>0) log++;
        return log + bytes.Length*8-9;
    }
    

    The reason for the most significant byte being 0 is because the BigInteger is a signed integer. When the most significant bit of the high-order byte is 1, an extra byte is tacked on to represent the sign bit of 0 for positive integers.

    Also changed from using the System.Math.Log function because if you only want the rounded value, it is much faster to use bit operations.


    If you have Microsoft Solver Foundation (download at http://msdn.microsoft.com/en-us/devlabs/hh145003.aspx), then you can use the BitCount() function:

    public static double LogBase2(Microsoft.SolverFoundation.Common.BigInteger number)
    {
        return number.BitCount;
    }
    

    Or you can use the java library. Add a reference to the vjslib library (found in the .NET tab – this is the J# implementation of the java library).

    You can now add “using java.math” in your code.

    java.math.BigInteger has a bitLength() function

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