-0.000 282 597 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.000 282 597(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
-0.000 282 597(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:

|-0.000 282 597| = 0.000 282 597


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: 0.000 282 597.

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) 0.000 282 597 × 2 = 0 + 0.000 565 194;
  • 2) 0.000 565 194 × 2 = 0 + 0.001 130 388;
  • 3) 0.001 130 388 × 2 = 0 + 0.002 260 776;
  • 4) 0.002 260 776 × 2 = 0 + 0.004 521 552;
  • 5) 0.004 521 552 × 2 = 0 + 0.009 043 104;
  • 6) 0.009 043 104 × 2 = 0 + 0.018 086 208;
  • 7) 0.018 086 208 × 2 = 0 + 0.036 172 416;
  • 8) 0.036 172 416 × 2 = 0 + 0.072 344 832;
  • 9) 0.072 344 832 × 2 = 0 + 0.144 689 664;
  • 10) 0.144 689 664 × 2 = 0 + 0.289 379 328;
  • 11) 0.289 379 328 × 2 = 0 + 0.578 758 656;
  • 12) 0.578 758 656 × 2 = 1 + 0.157 517 312;
  • 13) 0.157 517 312 × 2 = 0 + 0.315 034 624;
  • 14) 0.315 034 624 × 2 = 0 + 0.630 069 248;
  • 15) 0.630 069 248 × 2 = 1 + 0.260 138 496;
  • 16) 0.260 138 496 × 2 = 0 + 0.520 276 992;
  • 17) 0.520 276 992 × 2 = 1 + 0.040 553 984;
  • 18) 0.040 553 984 × 2 = 0 + 0.081 107 968;
  • 19) 0.081 107 968 × 2 = 0 + 0.162 215 936;
  • 20) 0.162 215 936 × 2 = 0 + 0.324 431 872;
  • 21) 0.324 431 872 × 2 = 0 + 0.648 863 744;
  • 22) 0.648 863 744 × 2 = 1 + 0.297 727 488;
  • 23) 0.297 727 488 × 2 = 0 + 0.595 454 976;
  • 24) 0.595 454 976 × 2 = 1 + 0.190 909 952;
  • 25) 0.190 909 952 × 2 = 0 + 0.381 819 904;
  • 26) 0.381 819 904 × 2 = 0 + 0.763 639 808;
  • 27) 0.763 639 808 × 2 = 1 + 0.527 279 616;
  • 28) 0.527 279 616 × 2 = 1 + 0.054 559 232;
  • 29) 0.054 559 232 × 2 = 0 + 0.109 118 464;
  • 30) 0.109 118 464 × 2 = 0 + 0.218 236 928;
  • 31) 0.218 236 928 × 2 = 0 + 0.436 473 856;
  • 32) 0.436 473 856 × 2 = 0 + 0.872 947 712;
  • 33) 0.872 947 712 × 2 = 1 + 0.745 895 424;
  • 34) 0.745 895 424 × 2 = 1 + 0.491 790 848;
  • 35) 0.491 790 848 × 2 = 0 + 0.983 581 696;
  • 36) 0.983 581 696 × 2 = 1 + 0.967 163 392;
  • 37) 0.967 163 392 × 2 = 1 + 0.934 326 784;
  • 38) 0.934 326 784 × 2 = 1 + 0.868 653 568;
  • 39) 0.868 653 568 × 2 = 1 + 0.737 307 136;
  • 40) 0.737 307 136 × 2 = 1 + 0.474 614 272;
  • 41) 0.474 614 272 × 2 = 0 + 0.949 228 544;
  • 42) 0.949 228 544 × 2 = 1 + 0.898 457 088;
  • 43) 0.898 457 088 × 2 = 1 + 0.796 914 176;
  • 44) 0.796 914 176 × 2 = 1 + 0.593 828 352;
  • 45) 0.593 828 352 × 2 = 1 + 0.187 656 704;
  • 46) 0.187 656 704 × 2 = 0 + 0.375 313 408;
  • 47) 0.375 313 408 × 2 = 0 + 0.750 626 816;
  • 48) 0.750 626 816 × 2 = 1 + 0.501 253 632;
  • 49) 0.501 253 632 × 2 = 1 + 0.002 507 264;
  • 50) 0.002 507 264 × 2 = 0 + 0.005 014 528;
  • 51) 0.005 014 528 × 2 = 0 + 0.010 029 056;
  • 52) 0.010 029 056 × 2 = 0 + 0.020 058 112;
  • 53) 0.020 058 112 × 2 = 0 + 0.040 116 224;
  • 54) 0.040 116 224 × 2 = 0 + 0.080 232 448;
  • 55) 0.080 232 448 × 2 = 0 + 0.160 464 896;
  • 56) 0.160 464 896 × 2 = 0 + 0.320 929 792;
  • 57) 0.320 929 792 × 2 = 0 + 0.641 859 584;
  • 58) 0.641 859 584 × 2 = 1 + 0.283 719 168;
  • 59) 0.283 719 168 × 2 = 0 + 0.567 438 336;
  • 60) 0.567 438 336 × 2 = 1 + 0.134 876 672;
  • 61) 0.134 876 672 × 2 = 0 + 0.269 753 344;
  • 62) 0.269 753 344 × 2 = 0 + 0.539 506 688;
  • 63) 0.539 506 688 × 2 = 1 + 0.079 013 376;
  • 64) 0.079 013 376 × 2 = 0 + 0.158 026 752;

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:


0.000 282 597(10) =

0.0000 0000 0001 0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010(2)

6. Positive number before normalization:

0.000 282 597(10) =

0.0000 0000 0001 0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010(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:


0.000 282 597(10) =

0.0000 0000 0001 0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010(2) =

0.0000 0000 0001 0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010(2) × 20 =

1.0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010(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 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010


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 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010 =

0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010


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 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010


Decimal number -0.000 282 597 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 011 1111 0011 - 0010 1000 0101 0011 0000 1101 1111 0111 1001 1000 0000 0101 0010

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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