-0.016 738 891 601 562 496 96 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.016 738 891 601 562 496 96(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
-0.016 738 891 601 562 496 96(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:

|-0.016 738 891 601 562 496 96| = 0.016 738 891 601 562 496 96


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: 0.016 738 891 601 562 496 96.

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) 0.016 738 891 601 562 496 96 × 2 = 0 + 0.033 477 783 203 124 993 92;
  • 2) 0.033 477 783 203 124 993 92 × 2 = 0 + 0.066 955 566 406 249 987 84;
  • 3) 0.066 955 566 406 249 987 84 × 2 = 0 + 0.133 911 132 812 499 975 68;
  • 4) 0.133 911 132 812 499 975 68 × 2 = 0 + 0.267 822 265 624 999 951 36;
  • 5) 0.267 822 265 624 999 951 36 × 2 = 0 + 0.535 644 531 249 999 902 72;
  • 6) 0.535 644 531 249 999 902 72 × 2 = 1 + 0.071 289 062 499 999 805 44;
  • 7) 0.071 289 062 499 999 805 44 × 2 = 0 + 0.142 578 124 999 999 610 88;
  • 8) 0.142 578 124 999 999 610 88 × 2 = 0 + 0.285 156 249 999 999 221 76;
  • 9) 0.285 156 249 999 999 221 76 × 2 = 0 + 0.570 312 499 999 998 443 52;
  • 10) 0.570 312 499 999 998 443 52 × 2 = 1 + 0.140 624 999 999 996 887 04;
  • 11) 0.140 624 999 999 996 887 04 × 2 = 0 + 0.281 249 999 999 993 774 08;
  • 12) 0.281 249 999 999 993 774 08 × 2 = 0 + 0.562 499 999 999 987 548 16;
  • 13) 0.562 499 999 999 987 548 16 × 2 = 1 + 0.124 999 999 999 975 096 32;
  • 14) 0.124 999 999 999 975 096 32 × 2 = 0 + 0.249 999 999 999 950 192 64;
  • 15) 0.249 999 999 999 950 192 64 × 2 = 0 + 0.499 999 999 999 900 385 28;
  • 16) 0.499 999 999 999 900 385 28 × 2 = 0 + 0.999 999 999 999 800 770 56;
  • 17) 0.999 999 999 999 800 770 56 × 2 = 1 + 0.999 999 999 999 601 541 12;
  • 18) 0.999 999 999 999 601 541 12 × 2 = 1 + 0.999 999 999 999 203 082 24;
  • 19) 0.999 999 999 999 203 082 24 × 2 = 1 + 0.999 999 999 998 406 164 48;
  • 20) 0.999 999 999 998 406 164 48 × 2 = 1 + 0.999 999 999 996 812 328 96;
  • 21) 0.999 999 999 996 812 328 96 × 2 = 1 + 0.999 999 999 993 624 657 92;
  • 22) 0.999 999 999 993 624 657 92 × 2 = 1 + 0.999 999 999 987 249 315 84;
  • 23) 0.999 999 999 987 249 315 84 × 2 = 1 + 0.999 999 999 974 498 631 68;
  • 24) 0.999 999 999 974 498 631 68 × 2 = 1 + 0.999 999 999 948 997 263 36;
  • 25) 0.999 999 999 948 997 263 36 × 2 = 1 + 0.999 999 999 897 994 526 72;
  • 26) 0.999 999 999 897 994 526 72 × 2 = 1 + 0.999 999 999 795 989 053 44;
  • 27) 0.999 999 999 795 989 053 44 × 2 = 1 + 0.999 999 999 591 978 106 88;
  • 28) 0.999 999 999 591 978 106 88 × 2 = 1 + 0.999 999 999 183 956 213 76;
  • 29) 0.999 999 999 183 956 213 76 × 2 = 1 + 0.999 999 998 367 912 427 52;
  • 30) 0.999 999 998 367 912 427 52 × 2 = 1 + 0.999 999 996 735 824 855 04;
  • 31) 0.999 999 996 735 824 855 04 × 2 = 1 + 0.999 999 993 471 649 710 08;
  • 32) 0.999 999 993 471 649 710 08 × 2 = 1 + 0.999 999 986 943 299 420 16;
  • 33) 0.999 999 986 943 299 420 16 × 2 = 1 + 0.999 999 973 886 598 840 32;
  • 34) 0.999 999 973 886 598 840 32 × 2 = 1 + 0.999 999 947 773 197 680 64;
  • 35) 0.999 999 947 773 197 680 64 × 2 = 1 + 0.999 999 895 546 395 361 28;
  • 36) 0.999 999 895 546 395 361 28 × 2 = 1 + 0.999 999 791 092 790 722 56;
  • 37) 0.999 999 791 092 790 722 56 × 2 = 1 + 0.999 999 582 185 581 445 12;
  • 38) 0.999 999 582 185 581 445 12 × 2 = 1 + 0.999 999 164 371 162 890 24;
  • 39) 0.999 999 164 371 162 890 24 × 2 = 1 + 0.999 998 328 742 325 780 48;
  • 40) 0.999 998 328 742 325 780 48 × 2 = 1 + 0.999 996 657 484 651 560 96;
  • 41) 0.999 996 657 484 651 560 96 × 2 = 1 + 0.999 993 314 969 303 121 92;
  • 42) 0.999 993 314 969 303 121 92 × 2 = 1 + 0.999 986 629 938 606 243 84;
  • 43) 0.999 986 629 938 606 243 84 × 2 = 1 + 0.999 973 259 877 212 487 68;
  • 44) 0.999 973 259 877 212 487 68 × 2 = 1 + 0.999 946 519 754 424 975 36;
  • 45) 0.999 946 519 754 424 975 36 × 2 = 1 + 0.999 893 039 508 849 950 72;
  • 46) 0.999 893 039 508 849 950 72 × 2 = 1 + 0.999 786 079 017 699 901 44;
  • 47) 0.999 786 079 017 699 901 44 × 2 = 1 + 0.999 572 158 035 399 802 88;
  • 48) 0.999 572 158 035 399 802 88 × 2 = 1 + 0.999 144 316 070 799 605 76;
  • 49) 0.999 144 316 070 799 605 76 × 2 = 1 + 0.998 288 632 141 599 211 52;
  • 50) 0.998 288 632 141 599 211 52 × 2 = 1 + 0.996 577 264 283 198 423 04;
  • 51) 0.996 577 264 283 198 423 04 × 2 = 1 + 0.993 154 528 566 396 846 08;
  • 52) 0.993 154 528 566 396 846 08 × 2 = 1 + 0.986 309 057 132 793 692 16;
  • 53) 0.986 309 057 132 793 692 16 × 2 = 1 + 0.972 618 114 265 587 384 32;
  • 54) 0.972 618 114 265 587 384 32 × 2 = 1 + 0.945 236 228 531 174 768 64;
  • 55) 0.945 236 228 531 174 768 64 × 2 = 1 + 0.890 472 457 062 349 537 28;
  • 56) 0.890 472 457 062 349 537 28 × 2 = 1 + 0.780 944 914 124 699 074 56;
  • 57) 0.780 944 914 124 699 074 56 × 2 = 1 + 0.561 889 828 249 398 149 12;
  • 58) 0.561 889 828 249 398 149 12 × 2 = 1 + 0.123 779 656 498 796 298 24;

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:


0.016 738 891 601 562 496 96(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 11(2)

6. Positive number before normalization:

0.016 738 891 601 562 496 96(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 11(2)

7. Normalize the binary representation of the number.

Shift the decimal mark 6 positions to the right, so that only one non zero digit remains to the left of it:


0.016 738 891 601 562 496 96(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 11(2) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 11(2) × 20 =

1.0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111(2) × 2-6


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): -6

Mantissa (not normalized):
1.0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111


9. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

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

-6 + 2(11-1) - 1 =

(-6 + 1 023)(10) =

1 017(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;
  • 1 017 ÷ 2 = 508 + 1;
  • 508 ÷ 2 = 254 + 0;
  • 254 ÷ 2 = 127 + 0;
  • 127 ÷ 2 = 63 + 1;
  • 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) =

1017(10) =

011 1111 1001(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. 0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 =

0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111


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 1001

Mantissa (52 bits) =
0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111


Decimal number -0.016 738 891 601 562 496 96 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 011 1111 1001 - 0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111

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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