0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 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
0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 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. 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;

2. 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)


3. Convert to binary (base 2) the fractional part: 0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 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) 0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 321 234 627 4;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 321 234 627 4 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 642 469 254 8;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 642 469 254 8 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 284 938 509 6;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 284 938 509 6 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 569 877 019 2;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 569 877 019 2 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 139 754 038 4;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 139 754 038 4 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 279 508 076 8;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 279 508 076 8 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 559 016 153 6;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 559 016 153 6 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 473 118 032 307 2;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 473 118 032 307 2 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 946 236 064 614 4;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 946 236 064 614 4 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 892 472 129 228 8;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 892 472 129 228 8 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 784 944 258 457 6;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 784 944 258 457 6 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 569 888 516 915 2;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 569 888 516 915 2 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 139 777 033 830 4;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 139 777 033 830 4 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 279 554 067 660 8;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 279 554 067 660 8 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 559 108 135 321 6;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 559 108 135 321 6 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 118 216 270 643 2;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 118 216 270 643 2 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 236 432 541 286 4;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 236 432 541 286 4 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 472 865 082 572 8;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 472 865 082 572 8 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 945 730 165 145 6;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 945 730 165 145 6 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 121 891 460 330 291 2;
  • 21) 0.842 602 829 200 705 595 636 873 439 121 891 460 330 291 2 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 243 782 920 660 582 4;
  • 22) 0.685 205 658 401 411 191 273 746 878 243 782 920 660 582 4 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 487 565 841 321 164 8;
  • 23) 0.370 411 316 802 822 382 547 493 756 487 565 841 321 164 8 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 975 131 682 642 329 6;
  • 24) 0.740 822 633 605 644 765 094 987 512 975 131 682 642 329 6 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 950 263 365 284 659 2;
  • 25) 0.481 645 267 211 289 530 189 975 025 950 263 365 284 659 2 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 900 526 730 569 318 4;
  • 26) 0.963 290 534 422 579 060 379 950 051 900 526 730 569 318 4 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 801 053 461 138 636 8;
  • 27) 0.926 581 068 845 158 120 759 900 103 801 053 461 138 636 8 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 602 106 922 277 273 6;
  • 28) 0.853 162 137 690 316 241 519 800 207 602 106 922 277 273 6 × 2 = 1 + 0.706 324 275 380 632 483 039 600 415 204 213 844 554 547 2;
  • 29) 0.706 324 275 380 632 483 039 600 415 204 213 844 554 547 2 × 2 = 1 + 0.412 648 550 761 264 966 079 200 830 408 427 689 109 094 4;
  • 30) 0.412 648 550 761 264 966 079 200 830 408 427 689 109 094 4 × 2 = 0 + 0.825 297 101 522 529 932 158 401 660 816 855 378 218 188 8;
  • 31) 0.825 297 101 522 529 932 158 401 660 816 855 378 218 188 8 × 2 = 1 + 0.650 594 203 045 059 864 316 803 321 633 710 756 436 377 6;
  • 32) 0.650 594 203 045 059 864 316 803 321 633 710 756 436 377 6 × 2 = 1 + 0.301 188 406 090 119 728 633 606 643 267 421 512 872 755 2;
  • 33) 0.301 188 406 090 119 728 633 606 643 267 421 512 872 755 2 × 2 = 0 + 0.602 376 812 180 239 457 267 213 286 534 843 025 745 510 4;
  • 34) 0.602 376 812 180 239 457 267 213 286 534 843 025 745 510 4 × 2 = 1 + 0.204 753 624 360 478 914 534 426 573 069 686 051 491 020 8;
  • 35) 0.204 753 624 360 478 914 534 426 573 069 686 051 491 020 8 × 2 = 0 + 0.409 507 248 720 957 829 068 853 146 139 372 102 982 041 6;
  • 36) 0.409 507 248 720 957 829 068 853 146 139 372 102 982 041 6 × 2 = 0 + 0.819 014 497 441 915 658 137 706 292 278 744 205 964 083 2;
  • 37) 0.819 014 497 441 915 658 137 706 292 278 744 205 964 083 2 × 2 = 1 + 0.638 028 994 883 831 316 275 412 584 557 488 411 928 166 4;
  • 38) 0.638 028 994 883 831 316 275 412 584 557 488 411 928 166 4 × 2 = 1 + 0.276 057 989 767 662 632 550 825 169 114 976 823 856 332 8;
  • 39) 0.276 057 989 767 662 632 550 825 169 114 976 823 856 332 8 × 2 = 0 + 0.552 115 979 535 325 265 101 650 338 229 953 647 712 665 6;
  • 40) 0.552 115 979 535 325 265 101 650 338 229 953 647 712 665 6 × 2 = 1 + 0.104 231 959 070 650 530 203 300 676 459 907 295 425 331 2;
  • 41) 0.104 231 959 070 650 530 203 300 676 459 907 295 425 331 2 × 2 = 0 + 0.208 463 918 141 301 060 406 601 352 919 814 590 850 662 4;
  • 42) 0.208 463 918 141 301 060 406 601 352 919 814 590 850 662 4 × 2 = 0 + 0.416 927 836 282 602 120 813 202 705 839 629 181 701 324 8;
  • 43) 0.416 927 836 282 602 120 813 202 705 839 629 181 701 324 8 × 2 = 0 + 0.833 855 672 565 204 241 626 405 411 679 258 363 402 649 6;
  • 44) 0.833 855 672 565 204 241 626 405 411 679 258 363 402 649 6 × 2 = 1 + 0.667 711 345 130 408 483 252 810 823 358 516 726 805 299 2;
  • 45) 0.667 711 345 130 408 483 252 810 823 358 516 726 805 299 2 × 2 = 1 + 0.335 422 690 260 816 966 505 621 646 717 033 453 610 598 4;
  • 46) 0.335 422 690 260 816 966 505 621 646 717 033 453 610 598 4 × 2 = 0 + 0.670 845 380 521 633 933 011 243 293 434 066 907 221 196 8;
  • 47) 0.670 845 380 521 633 933 011 243 293 434 066 907 221 196 8 × 2 = 1 + 0.341 690 761 043 267 866 022 486 586 868 133 814 442 393 6;
  • 48) 0.341 690 761 043 267 866 022 486 586 868 133 814 442 393 6 × 2 = 0 + 0.683 381 522 086 535 732 044 973 173 736 267 628 884 787 2;
  • 49) 0.683 381 522 086 535 732 044 973 173 736 267 628 884 787 2 × 2 = 1 + 0.366 763 044 173 071 464 089 946 347 472 535 257 769 574 4;
  • 50) 0.366 763 044 173 071 464 089 946 347 472 535 257 769 574 4 × 2 = 0 + 0.733 526 088 346 142 928 179 892 694 945 070 515 539 148 8;
  • 51) 0.733 526 088 346 142 928 179 892 694 945 070 515 539 148 8 × 2 = 1 + 0.467 052 176 692 285 856 359 785 389 890 141 031 078 297 6;
  • 52) 0.467 052 176 692 285 856 359 785 389 890 141 031 078 297 6 × 2 = 0 + 0.934 104 353 384 571 712 719 570 779 780 282 062 156 595 2;
  • 53) 0.934 104 353 384 571 712 719 570 779 780 282 062 156 595 2 × 2 = 1 + 0.868 208 706 769 143 425 439 141 559 560 564 124 313 190 4;
  • 54) 0.868 208 706 769 143 425 439 141 559 560 564 124 313 190 4 × 2 = 1 + 0.736 417 413 538 286 850 878 283 119 121 128 248 626 380 8;
  • 55) 0.736 417 413 538 286 850 878 283 119 121 128 248 626 380 8 × 2 = 1 + 0.472 834 827 076 573 701 756 566 238 242 256 497 252 761 6;
  • 56) 0.472 834 827 076 573 701 756 566 238 242 256 497 252 761 6 × 2 = 0 + 0.945 669 654 153 147 403 513 132 476 484 512 994 505 523 2;
  • 57) 0.945 669 654 153 147 403 513 132 476 484 512 994 505 523 2 × 2 = 1 + 0.891 339 308 306 294 807 026 264 952 969 025 989 011 046 4;
  • 58) 0.891 339 308 306 294 807 026 264 952 969 025 989 011 046 4 × 2 = 1 + 0.782 678 616 612 589 614 052 529 905 938 051 978 022 092 8;
  • 59) 0.782 678 616 612 589 614 052 529 905 938 051 978 022 092 8 × 2 = 1 + 0.565 357 233 225 179 228 105 059 811 876 103 956 044 185 6;
  • 60) 0.565 357 233 225 179 228 105 059 811 876 103 956 044 185 6 × 2 = 1 + 0.130 714 466 450 358 456 210 119 623 752 207 912 088 371 2;
  • 61) 0.130 714 466 450 358 456 210 119 623 752 207 912 088 371 2 × 2 = 0 + 0.261 428 932 900 716 912 420 239 247 504 415 824 176 742 4;
  • 62) 0.261 428 932 900 716 912 420 239 247 504 415 824 176 742 4 × 2 = 0 + 0.522 857 865 801 433 824 840 478 495 008 831 648 353 484 8;
  • 63) 0.522 857 865 801 433 824 840 478 495 008 831 648 353 484 8 × 2 = 1 + 0.045 715 731 602 867 649 680 956 990 017 663 296 706 969 6;
  • 64) 0.045 715 731 602 867 649 680 956 990 017 663 296 706 969 6 × 2 = 0 + 0.091 431 463 205 735 299 361 913 980 035 326 593 413 939 2;
  • 65) 0.091 431 463 205 735 299 361 913 980 035 326 593 413 939 2 × 2 = 0 + 0.182 862 926 411 470 598 723 827 960 070 653 186 827 878 4;
  • 66) 0.182 862 926 411 470 598 723 827 960 070 653 186 827 878 4 × 2 = 0 + 0.365 725 852 822 941 197 447 655 920 141 306 373 655 756 8;
  • 67) 0.365 725 852 822 941 197 447 655 920 141 306 373 655 756 8 × 2 = 0 + 0.731 451 705 645 882 394 895 311 840 282 612 747 311 513 6;
  • 68) 0.731 451 705 645 882 394 895 311 840 282 612 747 311 513 6 × 2 = 1 + 0.462 903 411 291 764 789 790 623 680 565 225 494 623 027 2;

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).


4. 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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7(10) =


0.0000 0000 0000 0001 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001(2)

5. Positive number before normalization:

0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7(10) =


0.0000 0000 0000 0001 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001(2)

6. Normalize the binary representation of the number.

Shift the decimal mark 16 positions to the right, so that only one non zero digit remains to the left of it:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7(10) =


0.0000 0000 0000 0001 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001(2) =


0.0000 0000 0000 0001 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001(2) × 20 =


1.0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001(2) × 2-16


7. 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 0 (a positive number)


Exponent (unadjusted): -16


Mantissa (not normalized):
1.0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001


8. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =


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


-16 + 2(11-1) - 1 =


(-16 + 1 023)(10) =


1 007(10)


9. 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;
  • 1 007 ÷ 2 = 503 + 1;
  • 503 ÷ 2 = 251 + 1;
  • 251 ÷ 2 = 125 + 1;
  • 125 ÷ 2 = 62 + 1;
  • 62 ÷ 2 = 31 + 0;
  • 31 ÷ 2 = 15 + 1;
  • 15 ÷ 2 = 7 + 1;
  • 7 ÷ 2 = 3 + 1;
  • 3 ÷ 2 = 1 + 1;
  • 1 ÷ 2 = 0 + 1;

10. Construct the base 2 representation of the adjusted exponent.

Take all the remainders starting from the bottom of the list constructed above.


Exponent (adjusted) =


1007(10) =


011 1110 1111(2)


11. 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. 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001 =


0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001


12. The three elements that make up the number's 64 bit double precision IEEE 754 binary floating point representation:

Sign (1 bit) =
0 (a positive number)


Exponent (11 bits) =
011 1110 1111


Mantissa (52 bits) =
0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001


Decimal number 0.000 020 830 729 321 671 205 134 999 154 509 660 617 313 7 converted to 64 bit double precision IEEE 754 binary floating point representation:

0 - 011 1110 1111 - 0101 1101 0111 1011 0100 1101 0001 1010 1010 1110 1111 0010 0001


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