-0.000 282 473 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.000 282 473(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
-0.000 282 473(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. Start with the positive version of the number:

|-0.000 282 473| = 0.000 282 473


2. First, convert to binary (in base 2) the integer part: 0.
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;
  • 0 ÷ 2 = 0 + 0;

3. 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.

0(10) =

0(2)


4. Convert to binary (base 2) the fractional part: 0.000 282 473.

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) 0.000 282 473 × 2 = 0 + 0.000 564 946;
  • 2) 0.000 564 946 × 2 = 0 + 0.001 129 892;
  • 3) 0.001 129 892 × 2 = 0 + 0.002 259 784;
  • 4) 0.002 259 784 × 2 = 0 + 0.004 519 568;
  • 5) 0.004 519 568 × 2 = 0 + 0.009 039 136;
  • 6) 0.009 039 136 × 2 = 0 + 0.018 078 272;
  • 7) 0.018 078 272 × 2 = 0 + 0.036 156 544;
  • 8) 0.036 156 544 × 2 = 0 + 0.072 313 088;
  • 9) 0.072 313 088 × 2 = 0 + 0.144 626 176;
  • 10) 0.144 626 176 × 2 = 0 + 0.289 252 352;
  • 11) 0.289 252 352 × 2 = 0 + 0.578 504 704;
  • 12) 0.578 504 704 × 2 = 1 + 0.157 009 408;
  • 13) 0.157 009 408 × 2 = 0 + 0.314 018 816;
  • 14) 0.314 018 816 × 2 = 0 + 0.628 037 632;
  • 15) 0.628 037 632 × 2 = 1 + 0.256 075 264;
  • 16) 0.256 075 264 × 2 = 0 + 0.512 150 528;
  • 17) 0.512 150 528 × 2 = 1 + 0.024 301 056;
  • 18) 0.024 301 056 × 2 = 0 + 0.048 602 112;
  • 19) 0.048 602 112 × 2 = 0 + 0.097 204 224;
  • 20) 0.097 204 224 × 2 = 0 + 0.194 408 448;
  • 21) 0.194 408 448 × 2 = 0 + 0.388 816 896;
  • 22) 0.388 816 896 × 2 = 0 + 0.777 633 792;
  • 23) 0.777 633 792 × 2 = 1 + 0.555 267 584;
  • 24) 0.555 267 584 × 2 = 1 + 0.110 535 168;
  • 25) 0.110 535 168 × 2 = 0 + 0.221 070 336;
  • 26) 0.221 070 336 × 2 = 0 + 0.442 140 672;
  • 27) 0.442 140 672 × 2 = 0 + 0.884 281 344;
  • 28) 0.884 281 344 × 2 = 1 + 0.768 562 688;
  • 29) 0.768 562 688 × 2 = 1 + 0.537 125 376;
  • 30) 0.537 125 376 × 2 = 1 + 0.074 250 752;
  • 31) 0.074 250 752 × 2 = 0 + 0.148 501 504;
  • 32) 0.148 501 504 × 2 = 0 + 0.297 003 008;
  • 33) 0.297 003 008 × 2 = 0 + 0.594 006 016;
  • 34) 0.594 006 016 × 2 = 1 + 0.188 012 032;
  • 35) 0.188 012 032 × 2 = 0 + 0.376 024 064;
  • 36) 0.376 024 064 × 2 = 0 + 0.752 048 128;
  • 37) 0.752 048 128 × 2 = 1 + 0.504 096 256;
  • 38) 0.504 096 256 × 2 = 1 + 0.008 192 512;
  • 39) 0.008 192 512 × 2 = 0 + 0.016 385 024;
  • 40) 0.016 385 024 × 2 = 0 + 0.032 770 048;
  • 41) 0.032 770 048 × 2 = 0 + 0.065 540 096;
  • 42) 0.065 540 096 × 2 = 0 + 0.131 080 192;
  • 43) 0.131 080 192 × 2 = 0 + 0.262 160 384;
  • 44) 0.262 160 384 × 2 = 0 + 0.524 320 768;
  • 45) 0.524 320 768 × 2 = 1 + 0.048 641 536;
  • 46) 0.048 641 536 × 2 = 0 + 0.097 283 072;
  • 47) 0.097 283 072 × 2 = 0 + 0.194 566 144;
  • 48) 0.194 566 144 × 2 = 0 + 0.389 132 288;
  • 49) 0.389 132 288 × 2 = 0 + 0.778 264 576;
  • 50) 0.778 264 576 × 2 = 1 + 0.556 529 152;
  • 51) 0.556 529 152 × 2 = 1 + 0.113 058 304;
  • 52) 0.113 058 304 × 2 = 0 + 0.226 116 608;
  • 53) 0.226 116 608 × 2 = 0 + 0.452 233 216;
  • 54) 0.452 233 216 × 2 = 0 + 0.904 466 432;
  • 55) 0.904 466 432 × 2 = 1 + 0.808 932 864;
  • 56) 0.808 932 864 × 2 = 1 + 0.617 865 728;
  • 57) 0.617 865 728 × 2 = 1 + 0.235 731 456;
  • 58) 0.235 731 456 × 2 = 0 + 0.471 462 912;
  • 59) 0.471 462 912 × 2 = 0 + 0.942 925 824;
  • 60) 0.942 925 824 × 2 = 1 + 0.885 851 648;
  • 61) 0.885 851 648 × 2 = 1 + 0.771 703 296;
  • 62) 0.771 703 296 × 2 = 1 + 0.543 406 592;
  • 63) 0.543 406 592 × 2 = 1 + 0.086 813 184;
  • 64) 0.086 813 184 × 2 = 0 + 0.173 626 368;

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).


5. 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:


0.000 282 473(10) =

0.0000 0000 0001 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110(2)

6. Positive number before normalization:

0.000 282 473(10) =

0.0000 0000 0001 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110(2)

7. Normalize the binary representation of the number.

Shift the decimal mark 12 positions to the right, so that only one non zero digit remains to the left of it:


0.000 282 473(10) =

0.0000 0000 0001 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110(2) =

0.0000 0000 0001 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110(2) × 20 =

1.0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110(2) × 2-12


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): -12

Mantissa (not normalized):
1.0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110


9. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

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

-12 + 2(11-1) - 1 =

(-12 + 1 023)(10) =

1 011(10)


10. 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;
  • 1 011 ÷ 2 = 505 + 1;
  • 505 ÷ 2 = 252 + 1;
  • 252 ÷ 2 = 126 + 0;
  • 126 ÷ 2 = 63 + 0;
  • 63 ÷ 2 = 31 + 1;
  • 31 ÷ 2 = 15 + 1;
  • 15 ÷ 2 = 7 + 1;
  • 7 ÷ 2 = 3 + 1;
  • 3 ÷ 2 = 1 + 1;
  • 1 ÷ 2 = 0 + 1;

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

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


Exponent (adjusted) =

1011(10) =

011 1111 0011(2)


12. 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, only if necessary (not the case here).


Mantissa (normalized) =

1. 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110 =

0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110


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

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

Exponent (11 bits) =
011 1111 0011

Mantissa (52 bits) =
0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110


Decimal number -0.000 282 473 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 011 1111 0011 - 0010 1000 0011 0001 1100 0100 1100 0000 1000 0110 0011 1001 1110

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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