55.111 111 111 092 6 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 55.111 111 111 092 6(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
55.111 111 111 092 6(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: 55.
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;
  • 55 ÷ 2 = 27 + 1;
  • 27 ÷ 2 = 13 + 1;
  • 13 ÷ 2 = 6 + 1;
  • 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.

55(10) =

11 0111(2)


3. Convert to binary (base 2) the fractional part: 0.111 111 111 092 6.

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) 0.111 111 111 092 6 × 2 = 0 + 0.222 222 222 185 2;
  • 2) 0.222 222 222 185 2 × 2 = 0 + 0.444 444 444 370 4;
  • 3) 0.444 444 444 370 4 × 2 = 0 + 0.888 888 888 740 8;
  • 4) 0.888 888 888 740 8 × 2 = 1 + 0.777 777 777 481 6;
  • 5) 0.777 777 777 481 6 × 2 = 1 + 0.555 555 554 963 2;
  • 6) 0.555 555 554 963 2 × 2 = 1 + 0.111 111 109 926 4;
  • 7) 0.111 111 109 926 4 × 2 = 0 + 0.222 222 219 852 8;
  • 8) 0.222 222 219 852 8 × 2 = 0 + 0.444 444 439 705 6;
  • 9) 0.444 444 439 705 6 × 2 = 0 + 0.888 888 879 411 2;
  • 10) 0.888 888 879 411 2 × 2 = 1 + 0.777 777 758 822 4;
  • 11) 0.777 777 758 822 4 × 2 = 1 + 0.555 555 517 644 8;
  • 12) 0.555 555 517 644 8 × 2 = 1 + 0.111 111 035 289 6;
  • 13) 0.111 111 035 289 6 × 2 = 0 + 0.222 222 070 579 2;
  • 14) 0.222 222 070 579 2 × 2 = 0 + 0.444 444 141 158 4;
  • 15) 0.444 444 141 158 4 × 2 = 0 + 0.888 888 282 316 8;
  • 16) 0.888 888 282 316 8 × 2 = 1 + 0.777 776 564 633 6;
  • 17) 0.777 776 564 633 6 × 2 = 1 + 0.555 553 129 267 2;
  • 18) 0.555 553 129 267 2 × 2 = 1 + 0.111 106 258 534 4;
  • 19) 0.111 106 258 534 4 × 2 = 0 + 0.222 212 517 068 8;
  • 20) 0.222 212 517 068 8 × 2 = 0 + 0.444 425 034 137 6;
  • 21) 0.444 425 034 137 6 × 2 = 0 + 0.888 850 068 275 2;
  • 22) 0.888 850 068 275 2 × 2 = 1 + 0.777 700 136 550 4;
  • 23) 0.777 700 136 550 4 × 2 = 1 + 0.555 400 273 100 8;
  • 24) 0.555 400 273 100 8 × 2 = 1 + 0.110 800 546 201 6;
  • 25) 0.110 800 546 201 6 × 2 = 0 + 0.221 601 092 403 2;
  • 26) 0.221 601 092 403 2 × 2 = 0 + 0.443 202 184 806 4;
  • 27) 0.443 202 184 806 4 × 2 = 0 + 0.886 404 369 612 8;
  • 28) 0.886 404 369 612 8 × 2 = 1 + 0.772 808 739 225 6;
  • 29) 0.772 808 739 225 6 × 2 = 1 + 0.545 617 478 451 2;
  • 30) 0.545 617 478 451 2 × 2 = 1 + 0.091 234 956 902 4;
  • 31) 0.091 234 956 902 4 × 2 = 0 + 0.182 469 913 804 8;
  • 32) 0.182 469 913 804 8 × 2 = 0 + 0.364 939 827 609 6;
  • 33) 0.364 939 827 609 6 × 2 = 0 + 0.729 879 655 219 2;
  • 34) 0.729 879 655 219 2 × 2 = 1 + 0.459 759 310 438 4;
  • 35) 0.459 759 310 438 4 × 2 = 0 + 0.919 518 620 876 8;
  • 36) 0.919 518 620 876 8 × 2 = 1 + 0.839 037 241 753 6;
  • 37) 0.839 037 241 753 6 × 2 = 1 + 0.678 074 483 507 2;
  • 38) 0.678 074 483 507 2 × 2 = 1 + 0.356 148 967 014 4;
  • 39) 0.356 148 967 014 4 × 2 = 0 + 0.712 297 934 028 8;
  • 40) 0.712 297 934 028 8 × 2 = 1 + 0.424 595 868 057 6;
  • 41) 0.424 595 868 057 6 × 2 = 0 + 0.849 191 736 115 2;
  • 42) 0.849 191 736 115 2 × 2 = 1 + 0.698 383 472 230 4;
  • 43) 0.698 383 472 230 4 × 2 = 1 + 0.396 766 944 460 8;
  • 44) 0.396 766 944 460 8 × 2 = 0 + 0.793 533 888 921 6;
  • 45) 0.793 533 888 921 6 × 2 = 1 + 0.587 067 777 843 2;
  • 46) 0.587 067 777 843 2 × 2 = 1 + 0.174 135 555 686 4;
  • 47) 0.174 135 555 686 4 × 2 = 0 + 0.348 271 111 372 8;
  • 48) 0.348 271 111 372 8 × 2 = 0 + 0.696 542 222 745 6;
  • 49) 0.696 542 222 745 6 × 2 = 1 + 0.393 084 445 491 2;
  • 50) 0.393 084 445 491 2 × 2 = 0 + 0.786 168 890 982 4;
  • 51) 0.786 168 890 982 4 × 2 = 1 + 0.572 337 781 964 8;
  • 52) 0.572 337 781 964 8 × 2 = 1 + 0.144 675 563 929 6;
  • 53) 0.144 675 563 929 6 × 2 = 0 + 0.289 351 127 859 2;

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:


0.111 111 111 092 6(10) =

0.0001 1100 0111 0001 1100 0111 0001 1100 0101 1101 0110 1100 1011 0(2)

5. Positive number before normalization:

55.111 111 111 092 6(10) =

11 0111.0001 1100 0111 0001 1100 0111 0001 1100 0101 1101 0110 1100 1011 0(2)

6. Normalize the binary representation of the number.

Shift the decimal mark 5 positions to the left, so that only one non zero digit remains to the left of it:


55.111 111 111 092 6(10) =

11 0111.0001 1100 0111 0001 1100 0111 0001 1100 0101 1101 0110 1100 1011 0(2) =

11 0111.0001 1100 0111 0001 1100 0111 0001 1100 0101 1101 0110 1100 1011 0(2) × 20 =

1.1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110 0101 10(2) × 25


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): 5

Mantissa (not normalized):
1.1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110 0101 10


8. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

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

5 + 2(11-1) - 1 =

(5 + 1 023)(10) =

1 028(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;
  • 1 028 ÷ 2 = 514 + 0;
  • 514 ÷ 2 = 257 + 0;
  • 257 ÷ 2 = 128 + 1;
  • 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) =

1028(10) =

100 0000 0100(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. 1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110 01 0110 =

1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110


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 0100

Mantissa (52 bits) =
1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110


Decimal number 55.111 111 111 092 6 converted to 64 bit double precision IEEE 754 binary floating point representation:

0 - 100 0000 0100 - 1011 1000 1110 0011 1000 1110 0011 1000 1110 0010 1110 1011 0110

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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