-0.016 738 891 601 562 496 530 548 46 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.016 738 891 601 562 496 530 548 46(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
-0.016 738 891 601 562 496 530 548 46(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:

|-0.016 738 891 601 562 496 530 548 46| = 0.016 738 891 601 562 496 530 548 46


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: 0.016 738 891 601 562 496 530 548 46.

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) 0.016 738 891 601 562 496 530 548 46 × 2 = 0 + 0.033 477 783 203 124 993 061 096 92;
  • 2) 0.033 477 783 203 124 993 061 096 92 × 2 = 0 + 0.066 955 566 406 249 986 122 193 84;
  • 3) 0.066 955 566 406 249 986 122 193 84 × 2 = 0 + 0.133 911 132 812 499 972 244 387 68;
  • 4) 0.133 911 132 812 499 972 244 387 68 × 2 = 0 + 0.267 822 265 624 999 944 488 775 36;
  • 5) 0.267 822 265 624 999 944 488 775 36 × 2 = 0 + 0.535 644 531 249 999 888 977 550 72;
  • 6) 0.535 644 531 249 999 888 977 550 72 × 2 = 1 + 0.071 289 062 499 999 777 955 101 44;
  • 7) 0.071 289 062 499 999 777 955 101 44 × 2 = 0 + 0.142 578 124 999 999 555 910 202 88;
  • 8) 0.142 578 124 999 999 555 910 202 88 × 2 = 0 + 0.285 156 249 999 999 111 820 405 76;
  • 9) 0.285 156 249 999 999 111 820 405 76 × 2 = 0 + 0.570 312 499 999 998 223 640 811 52;
  • 10) 0.570 312 499 999 998 223 640 811 52 × 2 = 1 + 0.140 624 999 999 996 447 281 623 04;
  • 11) 0.140 624 999 999 996 447 281 623 04 × 2 = 0 + 0.281 249 999 999 992 894 563 246 08;
  • 12) 0.281 249 999 999 992 894 563 246 08 × 2 = 0 + 0.562 499 999 999 985 789 126 492 16;
  • 13) 0.562 499 999 999 985 789 126 492 16 × 2 = 1 + 0.124 999 999 999 971 578 252 984 32;
  • 14) 0.124 999 999 999 971 578 252 984 32 × 2 = 0 + 0.249 999 999 999 943 156 505 968 64;
  • 15) 0.249 999 999 999 943 156 505 968 64 × 2 = 0 + 0.499 999 999 999 886 313 011 937 28;
  • 16) 0.499 999 999 999 886 313 011 937 28 × 2 = 0 + 0.999 999 999 999 772 626 023 874 56;
  • 17) 0.999 999 999 999 772 626 023 874 56 × 2 = 1 + 0.999 999 999 999 545 252 047 749 12;
  • 18) 0.999 999 999 999 545 252 047 749 12 × 2 = 1 + 0.999 999 999 999 090 504 095 498 24;
  • 19) 0.999 999 999 999 090 504 095 498 24 × 2 = 1 + 0.999 999 999 998 181 008 190 996 48;
  • 20) 0.999 999 999 998 181 008 190 996 48 × 2 = 1 + 0.999 999 999 996 362 016 381 992 96;
  • 21) 0.999 999 999 996 362 016 381 992 96 × 2 = 1 + 0.999 999 999 992 724 032 763 985 92;
  • 22) 0.999 999 999 992 724 032 763 985 92 × 2 = 1 + 0.999 999 999 985 448 065 527 971 84;
  • 23) 0.999 999 999 985 448 065 527 971 84 × 2 = 1 + 0.999 999 999 970 896 131 055 943 68;
  • 24) 0.999 999 999 970 896 131 055 943 68 × 2 = 1 + 0.999 999 999 941 792 262 111 887 36;
  • 25) 0.999 999 999 941 792 262 111 887 36 × 2 = 1 + 0.999 999 999 883 584 524 223 774 72;
  • 26) 0.999 999 999 883 584 524 223 774 72 × 2 = 1 + 0.999 999 999 767 169 048 447 549 44;
  • 27) 0.999 999 999 767 169 048 447 549 44 × 2 = 1 + 0.999 999 999 534 338 096 895 098 88;
  • 28) 0.999 999 999 534 338 096 895 098 88 × 2 = 1 + 0.999 999 999 068 676 193 790 197 76;
  • 29) 0.999 999 999 068 676 193 790 197 76 × 2 = 1 + 0.999 999 998 137 352 387 580 395 52;
  • 30) 0.999 999 998 137 352 387 580 395 52 × 2 = 1 + 0.999 999 996 274 704 775 160 791 04;
  • 31) 0.999 999 996 274 704 775 160 791 04 × 2 = 1 + 0.999 999 992 549 409 550 321 582 08;
  • 32) 0.999 999 992 549 409 550 321 582 08 × 2 = 1 + 0.999 999 985 098 819 100 643 164 16;
  • 33) 0.999 999 985 098 819 100 643 164 16 × 2 = 1 + 0.999 999 970 197 638 201 286 328 32;
  • 34) 0.999 999 970 197 638 201 286 328 32 × 2 = 1 + 0.999 999 940 395 276 402 572 656 64;
  • 35) 0.999 999 940 395 276 402 572 656 64 × 2 = 1 + 0.999 999 880 790 552 805 145 313 28;
  • 36) 0.999 999 880 790 552 805 145 313 28 × 2 = 1 + 0.999 999 761 581 105 610 290 626 56;
  • 37) 0.999 999 761 581 105 610 290 626 56 × 2 = 1 + 0.999 999 523 162 211 220 581 253 12;
  • 38) 0.999 999 523 162 211 220 581 253 12 × 2 = 1 + 0.999 999 046 324 422 441 162 506 24;
  • 39) 0.999 999 046 324 422 441 162 506 24 × 2 = 1 + 0.999 998 092 648 844 882 325 012 48;
  • 40) 0.999 998 092 648 844 882 325 012 48 × 2 = 1 + 0.999 996 185 297 689 764 650 024 96;
  • 41) 0.999 996 185 297 689 764 650 024 96 × 2 = 1 + 0.999 992 370 595 379 529 300 049 92;
  • 42) 0.999 992 370 595 379 529 300 049 92 × 2 = 1 + 0.999 984 741 190 759 058 600 099 84;
  • 43) 0.999 984 741 190 759 058 600 099 84 × 2 = 1 + 0.999 969 482 381 518 117 200 199 68;
  • 44) 0.999 969 482 381 518 117 200 199 68 × 2 = 1 + 0.999 938 964 763 036 234 400 399 36;
  • 45) 0.999 938 964 763 036 234 400 399 36 × 2 = 1 + 0.999 877 929 526 072 468 800 798 72;
  • 46) 0.999 877 929 526 072 468 800 798 72 × 2 = 1 + 0.999 755 859 052 144 937 601 597 44;
  • 47) 0.999 755 859 052 144 937 601 597 44 × 2 = 1 + 0.999 511 718 104 289 875 203 194 88;
  • 48) 0.999 511 718 104 289 875 203 194 88 × 2 = 1 + 0.999 023 436 208 579 750 406 389 76;
  • 49) 0.999 023 436 208 579 750 406 389 76 × 2 = 1 + 0.998 046 872 417 159 500 812 779 52;
  • 50) 0.998 046 872 417 159 500 812 779 52 × 2 = 1 + 0.996 093 744 834 319 001 625 559 04;
  • 51) 0.996 093 744 834 319 001 625 559 04 × 2 = 1 + 0.992 187 489 668 638 003 251 118 08;
  • 52) 0.992 187 489 668 638 003 251 118 08 × 2 = 1 + 0.984 374 979 337 276 006 502 236 16;
  • 53) 0.984 374 979 337 276 006 502 236 16 × 2 = 1 + 0.968 749 958 674 552 013 004 472 32;
  • 54) 0.968 749 958 674 552 013 004 472 32 × 2 = 1 + 0.937 499 917 349 104 026 008 944 64;
  • 55) 0.937 499 917 349 104 026 008 944 64 × 2 = 1 + 0.874 999 834 698 208 052 017 889 28;
  • 56) 0.874 999 834 698 208 052 017 889 28 × 2 = 1 + 0.749 999 669 396 416 104 035 778 56;
  • 57) 0.749 999 669 396 416 104 035 778 56 × 2 = 1 + 0.499 999 338 792 832 208 071 557 12;
  • 58) 0.499 999 338 792 832 208 071 557 12 × 2 = 0 + 0.999 998 677 585 664 416 143 114 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:


0.016 738 891 601 562 496 530 548 46(10) =

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

6. Positive number before normalization:

0.016 738 891 601 562 496 530 548 46(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:


0.016 738 891 601 562 496 530 548 46(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 -0.016 738 891 601 562 496 530 548 46 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

Share

» Convert decimal -0.016 738 891 601 562 496 530 547 6 to 64 bit double precision IEEE 754 binary floating point representation standard

» Calculations Performed by Our Visitors: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Data organized on a Monthly Basis

» Month 06, 2026 [June]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: June - by our visitors

» Improve your social skills: My manager only says "we" when referring to "my work". NotebookLM YouTube Video of 11.13 minutes

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