0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577(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
0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577(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: 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577.

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) 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 321 234 619 154;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 321 234 619 154 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 642 469 238 308;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 642 469 238 308 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 284 938 476 616;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 284 938 476 616 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 569 876 953 232;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 569 876 953 232 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 139 753 906 464;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 139 753 906 464 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 279 507 812 928;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 279 507 812 928 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 559 015 625 856;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 559 015 625 856 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 473 118 031 251 712;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 473 118 031 251 712 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 946 236 062 503 424;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 946 236 062 503 424 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 892 472 125 006 848;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 892 472 125 006 848 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 784 944 250 013 696;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 784 944 250 013 696 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 569 888 500 027 392;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 569 888 500 027 392 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 139 777 000 054 784;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 139 777 000 054 784 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 279 554 000 109 568;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 279 554 000 109 568 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 559 108 000 219 136;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 559 108 000 219 136 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 118 216 000 438 272;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 118 216 000 438 272 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 236 432 000 876 544;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 236 432 000 876 544 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 472 864 001 753 088;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 472 864 001 753 088 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 945 728 003 506 176;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 945 728 003 506 176 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 121 891 456 007 012 352;
  • 21) 0.842 602 829 200 705 595 636 873 439 121 891 456 007 012 352 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 243 782 912 014 024 704;
  • 22) 0.685 205 658 401 411 191 273 746 878 243 782 912 014 024 704 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 487 565 824 028 049 408;
  • 23) 0.370 411 316 802 822 382 547 493 756 487 565 824 028 049 408 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 975 131 648 056 098 816;
  • 24) 0.740 822 633 605 644 765 094 987 512 975 131 648 056 098 816 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 950 263 296 112 197 632;
  • 25) 0.481 645 267 211 289 530 189 975 025 950 263 296 112 197 632 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 900 526 592 224 395 264;
  • 26) 0.963 290 534 422 579 060 379 950 051 900 526 592 224 395 264 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 801 053 184 448 790 528;
  • 27) 0.926 581 068 845 158 120 759 900 103 801 053 184 448 790 528 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 602 106 368 897 581 056;
  • 28) 0.853 162 137 690 316 241 519 800 207 602 106 368 897 581 056 × 2 = 1 + 0.706 324 275 380 632 483 039 600 415 204 212 737 795 162 112;
  • 29) 0.706 324 275 380 632 483 039 600 415 204 212 737 795 162 112 × 2 = 1 + 0.412 648 550 761 264 966 079 200 830 408 425 475 590 324 224;
  • 30) 0.412 648 550 761 264 966 079 200 830 408 425 475 590 324 224 × 2 = 0 + 0.825 297 101 522 529 932 158 401 660 816 850 951 180 648 448;
  • 31) 0.825 297 101 522 529 932 158 401 660 816 850 951 180 648 448 × 2 = 1 + 0.650 594 203 045 059 864 316 803 321 633 701 902 361 296 896;
  • 32) 0.650 594 203 045 059 864 316 803 321 633 701 902 361 296 896 × 2 = 1 + 0.301 188 406 090 119 728 633 606 643 267 403 804 722 593 792;
  • 33) 0.301 188 406 090 119 728 633 606 643 267 403 804 722 593 792 × 2 = 0 + 0.602 376 812 180 239 457 267 213 286 534 807 609 445 187 584;
  • 34) 0.602 376 812 180 239 457 267 213 286 534 807 609 445 187 584 × 2 = 1 + 0.204 753 624 360 478 914 534 426 573 069 615 218 890 375 168;
  • 35) 0.204 753 624 360 478 914 534 426 573 069 615 218 890 375 168 × 2 = 0 + 0.409 507 248 720 957 829 068 853 146 139 230 437 780 750 336;
  • 36) 0.409 507 248 720 957 829 068 853 146 139 230 437 780 750 336 × 2 = 0 + 0.819 014 497 441 915 658 137 706 292 278 460 875 561 500 672;
  • 37) 0.819 014 497 441 915 658 137 706 292 278 460 875 561 500 672 × 2 = 1 + 0.638 028 994 883 831 316 275 412 584 556 921 751 123 001 344;
  • 38) 0.638 028 994 883 831 316 275 412 584 556 921 751 123 001 344 × 2 = 1 + 0.276 057 989 767 662 632 550 825 169 113 843 502 246 002 688;
  • 39) 0.276 057 989 767 662 632 550 825 169 113 843 502 246 002 688 × 2 = 0 + 0.552 115 979 535 325 265 101 650 338 227 687 004 492 005 376;
  • 40) 0.552 115 979 535 325 265 101 650 338 227 687 004 492 005 376 × 2 = 1 + 0.104 231 959 070 650 530 203 300 676 455 374 008 984 010 752;
  • 41) 0.104 231 959 070 650 530 203 300 676 455 374 008 984 010 752 × 2 = 0 + 0.208 463 918 141 301 060 406 601 352 910 748 017 968 021 504;
  • 42) 0.208 463 918 141 301 060 406 601 352 910 748 017 968 021 504 × 2 = 0 + 0.416 927 836 282 602 120 813 202 705 821 496 035 936 043 008;
  • 43) 0.416 927 836 282 602 120 813 202 705 821 496 035 936 043 008 × 2 = 0 + 0.833 855 672 565 204 241 626 405 411 642 992 071 872 086 016;
  • 44) 0.833 855 672 565 204 241 626 405 411 642 992 071 872 086 016 × 2 = 1 + 0.667 711 345 130 408 483 252 810 823 285 984 143 744 172 032;
  • 45) 0.667 711 345 130 408 483 252 810 823 285 984 143 744 172 032 × 2 = 1 + 0.335 422 690 260 816 966 505 621 646 571 968 287 488 344 064;
  • 46) 0.335 422 690 260 816 966 505 621 646 571 968 287 488 344 064 × 2 = 0 + 0.670 845 380 521 633 933 011 243 293 143 936 574 976 688 128;
  • 47) 0.670 845 380 521 633 933 011 243 293 143 936 574 976 688 128 × 2 = 1 + 0.341 690 761 043 267 866 022 486 586 287 873 149 953 376 256;
  • 48) 0.341 690 761 043 267 866 022 486 586 287 873 149 953 376 256 × 2 = 0 + 0.683 381 522 086 535 732 044 973 172 575 746 299 906 752 512;
  • 49) 0.683 381 522 086 535 732 044 973 172 575 746 299 906 752 512 × 2 = 1 + 0.366 763 044 173 071 464 089 946 345 151 492 599 813 505 024;
  • 50) 0.366 763 044 173 071 464 089 946 345 151 492 599 813 505 024 × 2 = 0 + 0.733 526 088 346 142 928 179 892 690 302 985 199 627 010 048;
  • 51) 0.733 526 088 346 142 928 179 892 690 302 985 199 627 010 048 × 2 = 1 + 0.467 052 176 692 285 856 359 785 380 605 970 399 254 020 096;
  • 52) 0.467 052 176 692 285 856 359 785 380 605 970 399 254 020 096 × 2 = 0 + 0.934 104 353 384 571 712 719 570 761 211 940 798 508 040 192;
  • 53) 0.934 104 353 384 571 712 719 570 761 211 940 798 508 040 192 × 2 = 1 + 0.868 208 706 769 143 425 439 141 522 423 881 597 016 080 384;
  • 54) 0.868 208 706 769 143 425 439 141 522 423 881 597 016 080 384 × 2 = 1 + 0.736 417 413 538 286 850 878 283 044 847 763 194 032 160 768;
  • 55) 0.736 417 413 538 286 850 878 283 044 847 763 194 032 160 768 × 2 = 1 + 0.472 834 827 076 573 701 756 566 089 695 526 388 064 321 536;
  • 56) 0.472 834 827 076 573 701 756 566 089 695 526 388 064 321 536 × 2 = 0 + 0.945 669 654 153 147 403 513 132 179 391 052 776 128 643 072;
  • 57) 0.945 669 654 153 147 403 513 132 179 391 052 776 128 643 072 × 2 = 1 + 0.891 339 308 306 294 807 026 264 358 782 105 552 257 286 144;
  • 58) 0.891 339 308 306 294 807 026 264 358 782 105 552 257 286 144 × 2 = 1 + 0.782 678 616 612 589 614 052 528 717 564 211 104 514 572 288;
  • 59) 0.782 678 616 612 589 614 052 528 717 564 211 104 514 572 288 × 2 = 1 + 0.565 357 233 225 179 228 105 057 435 128 422 209 029 144 576;
  • 60) 0.565 357 233 225 179 228 105 057 435 128 422 209 029 144 576 × 2 = 1 + 0.130 714 466 450 358 456 210 114 870 256 844 418 058 289 152;
  • 61) 0.130 714 466 450 358 456 210 114 870 256 844 418 058 289 152 × 2 = 0 + 0.261 428 932 900 716 912 420 229 740 513 688 836 116 578 304;
  • 62) 0.261 428 932 900 716 912 420 229 740 513 688 836 116 578 304 × 2 = 0 + 0.522 857 865 801 433 824 840 459 481 027 377 672 233 156 608;
  • 63) 0.522 857 865 801 433 824 840 459 481 027 377 672 233 156 608 × 2 = 1 + 0.045 715 731 602 867 649 680 918 962 054 755 344 466 313 216;
  • 64) 0.045 715 731 602 867 649 680 918 962 054 755 344 466 313 216 × 2 = 0 + 0.091 431 463 205 735 299 361 837 924 109 510 688 932 626 432;
  • 65) 0.091 431 463 205 735 299 361 837 924 109 510 688 932 626 432 × 2 = 0 + 0.182 862 926 411 470 598 723 675 848 219 021 377 865 252 864;
  • 66) 0.182 862 926 411 470 598 723 675 848 219 021 377 865 252 864 × 2 = 0 + 0.365 725 852 822 941 197 447 351 696 438 042 755 730 505 728;
  • 67) 0.365 725 852 822 941 197 447 351 696 438 042 755 730 505 728 × 2 = 0 + 0.731 451 705 645 882 394 894 703 392 876 085 511 461 011 456;
  • 68) 0.731 451 705 645 882 394 894 703 392 876 085 511 461 011 456 × 2 = 1 + 0.462 903 411 291 764 789 789 406 785 752 171 022 922 022 912;

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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577(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:

0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577(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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577(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 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 577 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

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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