-0.016 738 891 601 562 496 530 551 7 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.016 738 891 601 562 496 530 551 7(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
-0.016 738 891 601 562 496 530 551 7(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:

|-0.016 738 891 601 562 496 530 551 7| = 0.016 738 891 601 562 496 530 551 7


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: 0.016 738 891 601 562 496 530 551 7.

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) 0.016 738 891 601 562 496 530 551 7 × 2 = 0 + 0.033 477 783 203 124 993 061 103 4;
  • 2) 0.033 477 783 203 124 993 061 103 4 × 2 = 0 + 0.066 955 566 406 249 986 122 206 8;
  • 3) 0.066 955 566 406 249 986 122 206 8 × 2 = 0 + 0.133 911 132 812 499 972 244 413 6;
  • 4) 0.133 911 132 812 499 972 244 413 6 × 2 = 0 + 0.267 822 265 624 999 944 488 827 2;
  • 5) 0.267 822 265 624 999 944 488 827 2 × 2 = 0 + 0.535 644 531 249 999 888 977 654 4;
  • 6) 0.535 644 531 249 999 888 977 654 4 × 2 = 1 + 0.071 289 062 499 999 777 955 308 8;
  • 7) 0.071 289 062 499 999 777 955 308 8 × 2 = 0 + 0.142 578 124 999 999 555 910 617 6;
  • 8) 0.142 578 124 999 999 555 910 617 6 × 2 = 0 + 0.285 156 249 999 999 111 821 235 2;
  • 9) 0.285 156 249 999 999 111 821 235 2 × 2 = 0 + 0.570 312 499 999 998 223 642 470 4;
  • 10) 0.570 312 499 999 998 223 642 470 4 × 2 = 1 + 0.140 624 999 999 996 447 284 940 8;
  • 11) 0.140 624 999 999 996 447 284 940 8 × 2 = 0 + 0.281 249 999 999 992 894 569 881 6;
  • 12) 0.281 249 999 999 992 894 569 881 6 × 2 = 0 + 0.562 499 999 999 985 789 139 763 2;
  • 13) 0.562 499 999 999 985 789 139 763 2 × 2 = 1 + 0.124 999 999 999 971 578 279 526 4;
  • 14) 0.124 999 999 999 971 578 279 526 4 × 2 = 0 + 0.249 999 999 999 943 156 559 052 8;
  • 15) 0.249 999 999 999 943 156 559 052 8 × 2 = 0 + 0.499 999 999 999 886 313 118 105 6;
  • 16) 0.499 999 999 999 886 313 118 105 6 × 2 = 0 + 0.999 999 999 999 772 626 236 211 2;
  • 17) 0.999 999 999 999 772 626 236 211 2 × 2 = 1 + 0.999 999 999 999 545 252 472 422 4;
  • 18) 0.999 999 999 999 545 252 472 422 4 × 2 = 1 + 0.999 999 999 999 090 504 944 844 8;
  • 19) 0.999 999 999 999 090 504 944 844 8 × 2 = 1 + 0.999 999 999 998 181 009 889 689 6;
  • 20) 0.999 999 999 998 181 009 889 689 6 × 2 = 1 + 0.999 999 999 996 362 019 779 379 2;
  • 21) 0.999 999 999 996 362 019 779 379 2 × 2 = 1 + 0.999 999 999 992 724 039 558 758 4;
  • 22) 0.999 999 999 992 724 039 558 758 4 × 2 = 1 + 0.999 999 999 985 448 079 117 516 8;
  • 23) 0.999 999 999 985 448 079 117 516 8 × 2 = 1 + 0.999 999 999 970 896 158 235 033 6;
  • 24) 0.999 999 999 970 896 158 235 033 6 × 2 = 1 + 0.999 999 999 941 792 316 470 067 2;
  • 25) 0.999 999 999 941 792 316 470 067 2 × 2 = 1 + 0.999 999 999 883 584 632 940 134 4;
  • 26) 0.999 999 999 883 584 632 940 134 4 × 2 = 1 + 0.999 999 999 767 169 265 880 268 8;
  • 27) 0.999 999 999 767 169 265 880 268 8 × 2 = 1 + 0.999 999 999 534 338 531 760 537 6;
  • 28) 0.999 999 999 534 338 531 760 537 6 × 2 = 1 + 0.999 999 999 068 677 063 521 075 2;
  • 29) 0.999 999 999 068 677 063 521 075 2 × 2 = 1 + 0.999 999 998 137 354 127 042 150 4;
  • 30) 0.999 999 998 137 354 127 042 150 4 × 2 = 1 + 0.999 999 996 274 708 254 084 300 8;
  • 31) 0.999 999 996 274 708 254 084 300 8 × 2 = 1 + 0.999 999 992 549 416 508 168 601 6;
  • 32) 0.999 999 992 549 416 508 168 601 6 × 2 = 1 + 0.999 999 985 098 833 016 337 203 2;
  • 33) 0.999 999 985 098 833 016 337 203 2 × 2 = 1 + 0.999 999 970 197 666 032 674 406 4;
  • 34) 0.999 999 970 197 666 032 674 406 4 × 2 = 1 + 0.999 999 940 395 332 065 348 812 8;
  • 35) 0.999 999 940 395 332 065 348 812 8 × 2 = 1 + 0.999 999 880 790 664 130 697 625 6;
  • 36) 0.999 999 880 790 664 130 697 625 6 × 2 = 1 + 0.999 999 761 581 328 261 395 251 2;
  • 37) 0.999 999 761 581 328 261 395 251 2 × 2 = 1 + 0.999 999 523 162 656 522 790 502 4;
  • 38) 0.999 999 523 162 656 522 790 502 4 × 2 = 1 + 0.999 999 046 325 313 045 581 004 8;
  • 39) 0.999 999 046 325 313 045 581 004 8 × 2 = 1 + 0.999 998 092 650 626 091 162 009 6;
  • 40) 0.999 998 092 650 626 091 162 009 6 × 2 = 1 + 0.999 996 185 301 252 182 324 019 2;
  • 41) 0.999 996 185 301 252 182 324 019 2 × 2 = 1 + 0.999 992 370 602 504 364 648 038 4;
  • 42) 0.999 992 370 602 504 364 648 038 4 × 2 = 1 + 0.999 984 741 205 008 729 296 076 8;
  • 43) 0.999 984 741 205 008 729 296 076 8 × 2 = 1 + 0.999 969 482 410 017 458 592 153 6;
  • 44) 0.999 969 482 410 017 458 592 153 6 × 2 = 1 + 0.999 938 964 820 034 917 184 307 2;
  • 45) 0.999 938 964 820 034 917 184 307 2 × 2 = 1 + 0.999 877 929 640 069 834 368 614 4;
  • 46) 0.999 877 929 640 069 834 368 614 4 × 2 = 1 + 0.999 755 859 280 139 668 737 228 8;
  • 47) 0.999 755 859 280 139 668 737 228 8 × 2 = 1 + 0.999 511 718 560 279 337 474 457 6;
  • 48) 0.999 511 718 560 279 337 474 457 6 × 2 = 1 + 0.999 023 437 120 558 674 948 915 2;
  • 49) 0.999 023 437 120 558 674 948 915 2 × 2 = 1 + 0.998 046 874 241 117 349 897 830 4;
  • 50) 0.998 046 874 241 117 349 897 830 4 × 2 = 1 + 0.996 093 748 482 234 699 795 660 8;
  • 51) 0.996 093 748 482 234 699 795 660 8 × 2 = 1 + 0.992 187 496 964 469 399 591 321 6;
  • 52) 0.992 187 496 964 469 399 591 321 6 × 2 = 1 + 0.984 374 993 928 938 799 182 643 2;
  • 53) 0.984 374 993 928 938 799 182 643 2 × 2 = 1 + 0.968 749 987 857 877 598 365 286 4;
  • 54) 0.968 749 987 857 877 598 365 286 4 × 2 = 1 + 0.937 499 975 715 755 196 730 572 8;
  • 55) 0.937 499 975 715 755 196 730 572 8 × 2 = 1 + 0.874 999 951 431 510 393 461 145 6;
  • 56) 0.874 999 951 431 510 393 461 145 6 × 2 = 1 + 0.749 999 902 863 020 786 922 291 2;
  • 57) 0.749 999 902 863 020 786 922 291 2 × 2 = 1 + 0.499 999 805 726 041 573 844 582 4;
  • 58) 0.499 999 805 726 041 573 844 582 4 × 2 = 0 + 0.999 999 611 452 083 147 689 164 8;

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:


0.016 738 891 601 562 496 530 551 7(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 10(2)

6. Positive number before normalization:

0.016 738 891 601 562 496 530 551 7(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 10(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:


0.016 738 891 601 562 496 530 551 7(10) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 10(2) =

0.0000 0100 0100 1000 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 10(2) × 20 =

1.0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1110(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 1110


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 1110 =

0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 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 1001

Mantissa (52 bits) =
0001 0010 0011 1111 1111 1111 1111 1111 1111 1111 1111 1111 1110


Decimal number -0.016 738 891 601 562 496 530 551 7 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 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