24.777 777 777 777 777 783 86 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 24.777 777 777 777 777 783 86(10) to 64 bit double precision IEEE 754 binary floating point representation standard (1 bit for sign, 11 bits for exponent, 52 bits for mantissa)

What are the steps to convert decimal number
24.777 777 777 777 777 783 86(10) to 64 bit double precision IEEE 754 binary floating point representation (1 bit for sign, 11 bits for exponent, 52 bits for mantissa)

1. First, convert to binary (in base 2) the integer part: 24.
Divide the number repeatedly by 2.

Keep track of each remainder.

We stop when we get a quotient that is equal to zero.


  • division = quotient + remainder;
  • 24 ÷ 2 = 12 + 0;
  • 12 ÷ 2 = 6 + 0;
  • 6 ÷ 2 = 3 + 0;
  • 3 ÷ 2 = 1 + 1;
  • 1 ÷ 2 = 0 + 1;

2. Construct the base 2 representation of the integer part of the number.

Take all the remainders starting from the bottom of the list constructed above.

24(10) =

1 1000(2)


3. Convert to binary (base 2) the fractional part: 0.777 777 777 777 777 783 86.

Multiply it repeatedly by 2.

Keep track of each integer part of the results.

Stop when we get a fractional part that is equal to zero.


  • #) multiplying = integer + fractional part;
  • 1) 0.777 777 777 777 777 783 86 × 2 = 1 + 0.555 555 555 555 555 567 72;
  • 2) 0.555 555 555 555 555 567 72 × 2 = 1 + 0.111 111 111 111 111 135 44;
  • 3) 0.111 111 111 111 111 135 44 × 2 = 0 + 0.222 222 222 222 222 270 88;
  • 4) 0.222 222 222 222 222 270 88 × 2 = 0 + 0.444 444 444 444 444 541 76;
  • 5) 0.444 444 444 444 444 541 76 × 2 = 0 + 0.888 888 888 888 889 083 52;
  • 6) 0.888 888 888 888 889 083 52 × 2 = 1 + 0.777 777 777 777 778 167 04;
  • 7) 0.777 777 777 777 778 167 04 × 2 = 1 + 0.555 555 555 555 556 334 08;
  • 8) 0.555 555 555 555 556 334 08 × 2 = 1 + 0.111 111 111 111 112 668 16;
  • 9) 0.111 111 111 111 112 668 16 × 2 = 0 + 0.222 222 222 222 225 336 32;
  • 10) 0.222 222 222 222 225 336 32 × 2 = 0 + 0.444 444 444 444 450 672 64;
  • 11) 0.444 444 444 444 450 672 64 × 2 = 0 + 0.888 888 888 888 901 345 28;
  • 12) 0.888 888 888 888 901 345 28 × 2 = 1 + 0.777 777 777 777 802 690 56;
  • 13) 0.777 777 777 777 802 690 56 × 2 = 1 + 0.555 555 555 555 605 381 12;
  • 14) 0.555 555 555 555 605 381 12 × 2 = 1 + 0.111 111 111 111 210 762 24;
  • 15) 0.111 111 111 111 210 762 24 × 2 = 0 + 0.222 222 222 222 421 524 48;
  • 16) 0.222 222 222 222 421 524 48 × 2 = 0 + 0.444 444 444 444 843 048 96;
  • 17) 0.444 444 444 444 843 048 96 × 2 = 0 + 0.888 888 888 889 686 097 92;
  • 18) 0.888 888 888 889 686 097 92 × 2 = 1 + 0.777 777 777 779 372 195 84;
  • 19) 0.777 777 777 779 372 195 84 × 2 = 1 + 0.555 555 555 558 744 391 68;
  • 20) 0.555 555 555 558 744 391 68 × 2 = 1 + 0.111 111 111 117 488 783 36;
  • 21) 0.111 111 111 117 488 783 36 × 2 = 0 + 0.222 222 222 234 977 566 72;
  • 22) 0.222 222 222 234 977 566 72 × 2 = 0 + 0.444 444 444 469 955 133 44;
  • 23) 0.444 444 444 469 955 133 44 × 2 = 0 + 0.888 888 888 939 910 266 88;
  • 24) 0.888 888 888 939 910 266 88 × 2 = 1 + 0.777 777 777 879 820 533 76;
  • 25) 0.777 777 777 879 820 533 76 × 2 = 1 + 0.555 555 555 759 641 067 52;
  • 26) 0.555 555 555 759 641 067 52 × 2 = 1 + 0.111 111 111 519 282 135 04;
  • 27) 0.111 111 111 519 282 135 04 × 2 = 0 + 0.222 222 223 038 564 270 08;
  • 28) 0.222 222 223 038 564 270 08 × 2 = 0 + 0.444 444 446 077 128 540 16;
  • 29) 0.444 444 446 077 128 540 16 × 2 = 0 + 0.888 888 892 154 257 080 32;
  • 30) 0.888 888 892 154 257 080 32 × 2 = 1 + 0.777 777 784 308 514 160 64;
  • 31) 0.777 777 784 308 514 160 64 × 2 = 1 + 0.555 555 568 617 028 321 28;
  • 32) 0.555 555 568 617 028 321 28 × 2 = 1 + 0.111 111 137 234 056 642 56;
  • 33) 0.111 111 137 234 056 642 56 × 2 = 0 + 0.222 222 274 468 113 285 12;
  • 34) 0.222 222 274 468 113 285 12 × 2 = 0 + 0.444 444 548 936 226 570 24;
  • 35) 0.444 444 548 936 226 570 24 × 2 = 0 + 0.888 889 097 872 453 140 48;
  • 36) 0.888 889 097 872 453 140 48 × 2 = 1 + 0.777 778 195 744 906 280 96;
  • 37) 0.777 778 195 744 906 280 96 × 2 = 1 + 0.555 556 391 489 812 561 92;
  • 38) 0.555 556 391 489 812 561 92 × 2 = 1 + 0.111 112 782 979 625 123 84;
  • 39) 0.111 112 782 979 625 123 84 × 2 = 0 + 0.222 225 565 959 250 247 68;
  • 40) 0.222 225 565 959 250 247 68 × 2 = 0 + 0.444 451 131 918 500 495 36;
  • 41) 0.444 451 131 918 500 495 36 × 2 = 0 + 0.888 902 263 837 000 990 72;
  • 42) 0.888 902 263 837 000 990 72 × 2 = 1 + 0.777 804 527 674 001 981 44;
  • 43) 0.777 804 527 674 001 981 44 × 2 = 1 + 0.555 609 055 348 003 962 88;
  • 44) 0.555 609 055 348 003 962 88 × 2 = 1 + 0.111 218 110 696 007 925 76;
  • 45) 0.111 218 110 696 007 925 76 × 2 = 0 + 0.222 436 221 392 015 851 52;
  • 46) 0.222 436 221 392 015 851 52 × 2 = 0 + 0.444 872 442 784 031 703 04;
  • 47) 0.444 872 442 784 031 703 04 × 2 = 0 + 0.889 744 885 568 063 406 08;
  • 48) 0.889 744 885 568 063 406 08 × 2 = 1 + 0.779 489 771 136 126 812 16;
  • 49) 0.779 489 771 136 126 812 16 × 2 = 1 + 0.558 979 542 272 253 624 32;
  • 50) 0.558 979 542 272 253 624 32 × 2 = 1 + 0.117 959 084 544 507 248 64;
  • 51) 0.117 959 084 544 507 248 64 × 2 = 0 + 0.235 918 169 089 014 497 28;
  • 52) 0.235 918 169 089 014 497 28 × 2 = 0 + 0.471 836 338 178 028 994 56;
  • 53) 0.471 836 338 178 028 994 56 × 2 = 0 + 0.943 672 676 356 057 989 12;

We didn't get any fractional part that was equal to zero. But we had enough iterations (over Mantissa limit) and at least one integer that was different from zero => FULL STOP (Losing precision - the converted number we get in the end will be just a very good approximation of the initial one).


4. Construct the base 2 representation of the fractional part of the number.

Take all the integer parts of the multiplying operations, starting from the top of the constructed list above:


0.777 777 777 777 777 783 86(10) =

0.1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0(2)

5. Positive number before normalization:

24.777 777 777 777 777 783 86(10) =

1 1000.1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0(2)

6. Normalize the binary representation of the number.

Shift the decimal mark 4 positions to the left, so that only one non zero digit remains to the left of it:


24.777 777 777 777 777 783 86(10) =

1 1000.1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0(2) =

1 1000.1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0(2) × 20 =

1.1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0(2) × 24


7. Up to this moment, there are the following elements that would feed into the 64 bit double precision IEEE 754 binary floating point representation:

Sign 0 (a positive number)

Exponent (unadjusted): 4

Mantissa (not normalized):
1.1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0


8. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

Exponent (unadjusted) + 2(11-1) - 1 =

4 + 2(11-1) - 1 =

(4 + 1 023)(10) =

1 027(10)


9. Convert the adjusted exponent from the decimal (base 10) to 11 bit binary.

Use the same technique of repeatedly dividing by 2:


  • division = quotient + remainder;
  • 1 027 ÷ 2 = 513 + 1;
  • 513 ÷ 2 = 256 + 1;
  • 256 ÷ 2 = 128 + 0;
  • 128 ÷ 2 = 64 + 0;
  • 64 ÷ 2 = 32 + 0;
  • 32 ÷ 2 = 16 + 0;
  • 16 ÷ 2 = 8 + 0;
  • 8 ÷ 2 = 4 + 0;
  • 4 ÷ 2 = 2 + 0;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

10. Construct the base 2 representation of the adjusted exponent.

Take all the remainders starting from the bottom of the list constructed above.


Exponent (adjusted) =

1027(10) =

100 0000 0011(2)


11. Normalize the mantissa.

a) Remove the leading (the leftmost) bit, since it's allways 1, and the decimal point, if the case.

b) Adjust its length to 52 bits, by removing the excess bits, from the right (if any of the excess bits is set on 1, we are losing precision...).


Mantissa (normalized) =

1. 1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001 1 1000 =

1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001


12. The three elements that make up the number's 64 bit double precision IEEE 754 binary floating point representation:

Sign (1 bit) =
0 (a positive number)

Exponent (11 bits) =
100 0000 0011

Mantissa (52 bits) =
1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001


Decimal number 24.777 777 777 777 777 783 86 converted to 64 bit double precision IEEE 754 binary floating point representation:

0 - 100 0000 0011 - 1000 1100 0111 0001 1100 0111 0001 1100 0111 0001 1100 0111 0001

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How to convert numbers from the decimal system (base ten) to 64 bit double precision IEEE 754 binary floating point standard

Follow the steps below to convert a base 10 decimal number to 64 bit double precision IEEE 754 binary floating point:

  • 1. If the number to be converted is negative, start with its the positive version.
  • 2. First convert the integer part. Divide repeatedly by 2 the positive representation of the integer number that is to be converted to binary, until we get a quotient that is equal to zero, keeping track of each remainder.
  • 3. Construct the base 2 representation of the positive integer part of the number, by taking all the remainders from the previous operations, starting from the bottom of the list constructed above. Thus, the last remainder of the divisions becomes the first symbol (the leftmost) of the base two number, while the first remainder becomes the last symbol (the rightmost).
  • 4. Then convert the fractional part. Multiply the number repeatedly by 2, until we get a fractional part that is equal to zero, keeping track of each integer part of the results.
  • 5. Construct the base 2 representation of the fractional part of the number, by taking all the integer parts of the multiplying operations, starting from the top of the list constructed above (they should appear in the binary representation, from left to right, in the order they have been calculated).
  • 6. Normalize the binary representation of the number, shifting the decimal mark (the decimal point) "n" positions either to the left, or to the right, so that only one non zero digit remains to the left of the decimal mark.
  • 7. Adjust the exponent in 11 bit excess/bias notation and then convert it from decimal (base 10) to 11 bit binary, by using the same technique of repeatedly dividing by 2, as shown above:
    Exponent (adjusted) = Exponent (unadjusted) + 2(11-1) - 1
  • 8. Normalize mantissa, remove the leading (leftmost) bit, since it's allways '1' (and the decimal mark, if the case) and adjust its length to 52 bits, either by removing the excess bits from the right (losing precision...) or by adding extra bits set on '0' to the right.
  • 9. Sign (it takes 1 bit) is either 1 for a negative or 0 for a positive number.

Example: convert the negative number -31.640 215 from the decimal system (base ten) to 64 bit double precision IEEE 754 binary floating point:

  • 1. Start with the positive version of the number:

    |-31.640 215| = 31.640 215

  • 2. First convert the integer part, 31. Divide it repeatedly by 2, keeping track of each remainder, until we get a quotient that is equal to zero:
    • division = quotient + remainder;
    • 31 ÷ 2 = 15 + 1;
    • 15 ÷ 2 = 7 + 1;
    • 7 ÷ 2 = 3 + 1;
    • 3 ÷ 2 = 1 + 1;
    • 1 ÷ 2 = 0 + 1;
    • We have encountered a quotient that is ZERO => FULL STOP
  • 3. Construct the base 2 representation of the integer part of the number by taking all the remainders of the previous dividing operations, starting from the bottom of the list constructed above:

    31(10) = 1 1111(2)

  • 4. Then, convert the fractional part, 0.640 215. Multiply repeatedly by 2, keeping track of each integer part of the results, until we get a fractional part that is equal to zero:
    • #) multiplying = integer + fractional part;
    • 1) 0.640 215 × 2 = 1 + 0.280 43;
    • 2) 0.280 43 × 2 = 0 + 0.560 86;
    • 3) 0.560 86 × 2 = 1 + 0.121 72;
    • 4) 0.121 72 × 2 = 0 + 0.243 44;
    • 5) 0.243 44 × 2 = 0 + 0.486 88;
    • 6) 0.486 88 × 2 = 0 + 0.973 76;
    • 7) 0.973 76 × 2 = 1 + 0.947 52;
    • 8) 0.947 52 × 2 = 1 + 0.895 04;
    • 9) 0.895 04 × 2 = 1 + 0.790 08;
    • 10) 0.790 08 × 2 = 1 + 0.580 16;
    • 11) 0.580 16 × 2 = 1 + 0.160 32;
    • 12) 0.160 32 × 2 = 0 + 0.320 64;
    • 13) 0.320 64 × 2 = 0 + 0.641 28;
    • 14) 0.641 28 × 2 = 1 + 0.282 56;
    • 15) 0.282 56 × 2 = 0 + 0.565 12;
    • 16) 0.565 12 × 2 = 1 + 0.130 24;
    • 17) 0.130 24 × 2 = 0 + 0.260 48;
    • 18) 0.260 48 × 2 = 0 + 0.520 96;
    • 19) 0.520 96 × 2 = 1 + 0.041 92;
    • 20) 0.041 92 × 2 = 0 + 0.083 84;
    • 21) 0.083 84 × 2 = 0 + 0.167 68;
    • 22) 0.167 68 × 2 = 0 + 0.335 36;
    • 23) 0.335 36 × 2 = 0 + 0.670 72;
    • 24) 0.670 72 × 2 = 1 + 0.341 44;
    • 25) 0.341 44 × 2 = 0 + 0.682 88;
    • 26) 0.682 88 × 2 = 1 + 0.365 76;
    • 27) 0.365 76 × 2 = 0 + 0.731 52;
    • 28) 0.731 52 × 2 = 1 + 0.463 04;
    • 29) 0.463 04 × 2 = 0 + 0.926 08;
    • 30) 0.926 08 × 2 = 1 + 0.852 16;
    • 31) 0.852 16 × 2 = 1 + 0.704 32;
    • 32) 0.704 32 × 2 = 1 + 0.408 64;
    • 33) 0.408 64 × 2 = 0 + 0.817 28;
    • 34) 0.817 28 × 2 = 1 + 0.634 56;
    • 35) 0.634 56 × 2 = 1 + 0.269 12;
    • 36) 0.269 12 × 2 = 0 + 0.538 24;
    • 37) 0.538 24 × 2 = 1 + 0.076 48;
    • 38) 0.076 48 × 2 = 0 + 0.152 96;
    • 39) 0.152 96 × 2 = 0 + 0.305 92;
    • 40) 0.305 92 × 2 = 0 + 0.611 84;
    • 41) 0.611 84 × 2 = 1 + 0.223 68;
    • 42) 0.223 68 × 2 = 0 + 0.447 36;
    • 43) 0.447 36 × 2 = 0 + 0.894 72;
    • 44) 0.894 72 × 2 = 1 + 0.789 44;
    • 45) 0.789 44 × 2 = 1 + 0.578 88;
    • 46) 0.578 88 × 2 = 1 + 0.157 76;
    • 47) 0.157 76 × 2 = 0 + 0.315 52;
    • 48) 0.315 52 × 2 = 0 + 0.631 04;
    • 49) 0.631 04 × 2 = 1 + 0.262 08;
    • 50) 0.262 08 × 2 = 0 + 0.524 16;
    • 51) 0.524 16 × 2 = 1 + 0.048 32;
    • 52) 0.048 32 × 2 = 0 + 0.096 64;
    • 53) 0.096 64 × 2 = 0 + 0.193 28;
    • We didn't get any fractional part that was equal to zero. But we had enough iterations (over Mantissa limit = 52) and at least one integer part that was different from zero => FULL STOP (losing precision...).
  • 5. Construct the base 2 representation of the fractional part of the number, by taking all the integer parts of the previous multiplying operations, starting from the top of the constructed list above:

    0.640 215(10) = 0.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2)

  • 6. Summarizing - the positive number before normalization:

    31.640 215(10) = 1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2)

  • 7. Normalize the binary representation of the number, shifting the decimal mark 4 positions to the left so that only one non-zero digit stays to the left of the decimal mark:

    31.640 215(10) =
    1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) =
    1 1111.1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) × 20 =
    1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0(2) × 24

  • 8. Up to this moment, there are the following elements that would feed into the 64 bit double precision IEEE 754 binary floating point representation:

    Sign: 1 (a negative number)

    Exponent (unadjusted): 4

    Mantissa (not-normalized): 1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0

  • 9. Adjust the exponent in 11 bit excess/bias notation and then convert it from decimal (base 10) to 11 bit binary (base 2), by using the same technique of repeatedly dividing it by 2, as shown above:

    Exponent (adjusted) = Exponent (unadjusted) + 2(11-1) - 1 = (4 + 1023)(10) = 1027(10) =
    100 0000 0011(2)

  • 10. Normalize mantissa, remove the leading (leftmost) bit, since it's allways '1' (and the decimal sign) and adjust its length to 52 bits, by removing the excess bits, from the right (losing precision...):

    Mantissa (not-normalized): 1.1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100 1010 0

    Mantissa (normalized): 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100

  • Conclusion:

    Sign (1 bit) = 1 (a negative number)

    Exponent (8 bits) = 100 0000 0011

    Mantissa (52 bits) = 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100

  • Number -31.640 215, converted from decimal system (base 10) to 64 bit double precision IEEE 754 binary floating point =
    1 - 100 0000 0011 - 1111 1010 0011 1110 0101 0010 0001 0101 0111 0110 1000 1001 1100