-0.048 632 677 916 771 838 155 796 096 88 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -0.048 632 677 916 771 838 155 796 096 88(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
-0.048 632 677 916 771 838 155 796 096 88(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:

|-0.048 632 677 916 771 838 155 796 096 88| = 0.048 632 677 916 771 838 155 796 096 88


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: 0.048 632 677 916 771 838 155 796 096 88.

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) 0.048 632 677 916 771 838 155 796 096 88 × 2 = 0 + 0.097 265 355 833 543 676 311 592 193 76;
  • 2) 0.097 265 355 833 543 676 311 592 193 76 × 2 = 0 + 0.194 530 711 667 087 352 623 184 387 52;
  • 3) 0.194 530 711 667 087 352 623 184 387 52 × 2 = 0 + 0.389 061 423 334 174 705 246 368 775 04;
  • 4) 0.389 061 423 334 174 705 246 368 775 04 × 2 = 0 + 0.778 122 846 668 349 410 492 737 550 08;
  • 5) 0.778 122 846 668 349 410 492 737 550 08 × 2 = 1 + 0.556 245 693 336 698 820 985 475 100 16;
  • 6) 0.556 245 693 336 698 820 985 475 100 16 × 2 = 1 + 0.112 491 386 673 397 641 970 950 200 32;
  • 7) 0.112 491 386 673 397 641 970 950 200 32 × 2 = 0 + 0.224 982 773 346 795 283 941 900 400 64;
  • 8) 0.224 982 773 346 795 283 941 900 400 64 × 2 = 0 + 0.449 965 546 693 590 567 883 800 801 28;
  • 9) 0.449 965 546 693 590 567 883 800 801 28 × 2 = 0 + 0.899 931 093 387 181 135 767 601 602 56;
  • 10) 0.899 931 093 387 181 135 767 601 602 56 × 2 = 1 + 0.799 862 186 774 362 271 535 203 205 12;
  • 11) 0.799 862 186 774 362 271 535 203 205 12 × 2 = 1 + 0.599 724 373 548 724 543 070 406 410 24;
  • 12) 0.599 724 373 548 724 543 070 406 410 24 × 2 = 1 + 0.199 448 747 097 449 086 140 812 820 48;
  • 13) 0.199 448 747 097 449 086 140 812 820 48 × 2 = 0 + 0.398 897 494 194 898 172 281 625 640 96;
  • 14) 0.398 897 494 194 898 172 281 625 640 96 × 2 = 0 + 0.797 794 988 389 796 344 563 251 281 92;
  • 15) 0.797 794 988 389 796 344 563 251 281 92 × 2 = 1 + 0.595 589 976 779 592 689 126 502 563 84;
  • 16) 0.595 589 976 779 592 689 126 502 563 84 × 2 = 1 + 0.191 179 953 559 185 378 253 005 127 68;
  • 17) 0.191 179 953 559 185 378 253 005 127 68 × 2 = 0 + 0.382 359 907 118 370 756 506 010 255 36;
  • 18) 0.382 359 907 118 370 756 506 010 255 36 × 2 = 0 + 0.764 719 814 236 741 513 012 020 510 72;
  • 19) 0.764 719 814 236 741 513 012 020 510 72 × 2 = 1 + 0.529 439 628 473 483 026 024 041 021 44;
  • 20) 0.529 439 628 473 483 026 024 041 021 44 × 2 = 1 + 0.058 879 256 946 966 052 048 082 042 88;
  • 21) 0.058 879 256 946 966 052 048 082 042 88 × 2 = 0 + 0.117 758 513 893 932 104 096 164 085 76;
  • 22) 0.117 758 513 893 932 104 096 164 085 76 × 2 = 0 + 0.235 517 027 787 864 208 192 328 171 52;
  • 23) 0.235 517 027 787 864 208 192 328 171 52 × 2 = 0 + 0.471 034 055 575 728 416 384 656 343 04;
  • 24) 0.471 034 055 575 728 416 384 656 343 04 × 2 = 0 + 0.942 068 111 151 456 832 769 312 686 08;
  • 25) 0.942 068 111 151 456 832 769 312 686 08 × 2 = 1 + 0.884 136 222 302 913 665 538 625 372 16;
  • 26) 0.884 136 222 302 913 665 538 625 372 16 × 2 = 1 + 0.768 272 444 605 827 331 077 250 744 32;
  • 27) 0.768 272 444 605 827 331 077 250 744 32 × 2 = 1 + 0.536 544 889 211 654 662 154 501 488 64;
  • 28) 0.536 544 889 211 654 662 154 501 488 64 × 2 = 1 + 0.073 089 778 423 309 324 309 002 977 28;
  • 29) 0.073 089 778 423 309 324 309 002 977 28 × 2 = 0 + 0.146 179 556 846 618 648 618 005 954 56;
  • 30) 0.146 179 556 846 618 648 618 005 954 56 × 2 = 0 + 0.292 359 113 693 237 297 236 011 909 12;
  • 31) 0.292 359 113 693 237 297 236 011 909 12 × 2 = 0 + 0.584 718 227 386 474 594 472 023 818 24;
  • 32) 0.584 718 227 386 474 594 472 023 818 24 × 2 = 1 + 0.169 436 454 772 949 188 944 047 636 48;
  • 33) 0.169 436 454 772 949 188 944 047 636 48 × 2 = 0 + 0.338 872 909 545 898 377 888 095 272 96;
  • 34) 0.338 872 909 545 898 377 888 095 272 96 × 2 = 0 + 0.677 745 819 091 796 755 776 190 545 92;
  • 35) 0.677 745 819 091 796 755 776 190 545 92 × 2 = 1 + 0.355 491 638 183 593 511 552 381 091 84;
  • 36) 0.355 491 638 183 593 511 552 381 091 84 × 2 = 0 + 0.710 983 276 367 187 023 104 762 183 68;
  • 37) 0.710 983 276 367 187 023 104 762 183 68 × 2 = 1 + 0.421 966 552 734 374 046 209 524 367 36;
  • 38) 0.421 966 552 734 374 046 209 524 367 36 × 2 = 0 + 0.843 933 105 468 748 092 419 048 734 72;
  • 39) 0.843 933 105 468 748 092 419 048 734 72 × 2 = 1 + 0.687 866 210 937 496 184 838 097 469 44;
  • 40) 0.687 866 210 937 496 184 838 097 469 44 × 2 = 1 + 0.375 732 421 874 992 369 676 194 938 88;
  • 41) 0.375 732 421 874 992 369 676 194 938 88 × 2 = 0 + 0.751 464 843 749 984 739 352 389 877 76;
  • 42) 0.751 464 843 749 984 739 352 389 877 76 × 2 = 1 + 0.502 929 687 499 969 478 704 779 755 52;
  • 43) 0.502 929 687 499 969 478 704 779 755 52 × 2 = 1 + 0.005 859 374 999 938 957 409 559 511 04;
  • 44) 0.005 859 374 999 938 957 409 559 511 04 × 2 = 0 + 0.011 718 749 999 877 914 819 119 022 08;
  • 45) 0.011 718 749 999 877 914 819 119 022 08 × 2 = 0 + 0.023 437 499 999 755 829 638 238 044 16;
  • 46) 0.023 437 499 999 755 829 638 238 044 16 × 2 = 0 + 0.046 874 999 999 511 659 276 476 088 32;
  • 47) 0.046 874 999 999 511 659 276 476 088 32 × 2 = 0 + 0.093 749 999 999 023 318 552 952 176 64;
  • 48) 0.093 749 999 999 023 318 552 952 176 64 × 2 = 0 + 0.187 499 999 998 046 637 105 904 353 28;
  • 49) 0.187 499 999 998 046 637 105 904 353 28 × 2 = 0 + 0.374 999 999 996 093 274 211 808 706 56;
  • 50) 0.374 999 999 996 093 274 211 808 706 56 × 2 = 0 + 0.749 999 999 992 186 548 423 617 413 12;
  • 51) 0.749 999 999 992 186 548 423 617 413 12 × 2 = 1 + 0.499 999 999 984 373 096 847 234 826 24;
  • 52) 0.499 999 999 984 373 096 847 234 826 24 × 2 = 0 + 0.999 999 999 968 746 193 694 469 652 48;
  • 53) 0.999 999 999 968 746 193 694 469 652 48 × 2 = 1 + 0.999 999 999 937 492 387 388 939 304 96;
  • 54) 0.999 999 999 937 492 387 388 939 304 96 × 2 = 1 + 0.999 999 999 874 984 774 777 878 609 92;
  • 55) 0.999 999 999 874 984 774 777 878 609 92 × 2 = 1 + 0.999 999 999 749 969 549 555 757 219 84;
  • 56) 0.999 999 999 749 969 549 555 757 219 84 × 2 = 1 + 0.999 999 999 499 939 099 111 514 439 68;
  • 57) 0.999 999 999 499 939 099 111 514 439 68 × 2 = 1 + 0.999 999 998 999 878 198 223 028 879 36;

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:


0.048 632 677 916 771 838 155 796 096 88(10) =

0.0000 1100 0111 0011 0011 0000 1111 0001 0010 1011 0110 0000 0010 1111 1(2)

6. Positive number before normalization:

0.048 632 677 916 771 838 155 796 096 88(10) =

0.0000 1100 0111 0011 0011 0000 1111 0001 0010 1011 0110 0000 0010 1111 1(2)

7. Normalize the binary representation of the number.

Shift the decimal mark 5 positions to the right, so that only one non zero digit remains to the left of it:


0.048 632 677 916 771 838 155 796 096 88(10) =

0.0000 1100 0111 0011 0011 0000 1111 0001 0010 1011 0110 0000 0010 1111 1(2) =

0.0000 1100 0111 0011 0011 0000 1111 0001 0010 1011 0110 0000 0010 1111 1(2) × 20 =

1.1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 1111(2) × 2-5


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): -5

Mantissa (not normalized):
1.1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 1111


9. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

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

-5 + 2(11-1) - 1 =

(-5 + 1 023)(10) =

1 018(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;
  • 1 018 ÷ 2 = 509 + 0;
  • 509 ÷ 2 = 254 + 1;
  • 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) =

1018(10) =

011 1111 1010(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. 1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 1111 =

1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 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 1010

Mantissa (52 bits) =
1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 1111


Decimal number -0.048 632 677 916 771 838 155 796 096 88 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 011 1111 1010 - 1000 1110 0110 0110 0001 1110 0010 0101 0110 1100 0000 0101 1111

» Convert decimal -0.048 632 677 916 771 838 155 796 096 09 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 10, 2026 [October]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: October - by our visitors

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