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

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

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) 0.000 020 830 729 321 671 205 134 999 154 509 660 617 321 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 321 234 642;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 321 234 642 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 642 469 284;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 642 469 284 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 284 938 568;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 284 938 568 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 569 877 136;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 569 877 136 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 139 754 272;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 139 754 272 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 279 508 544;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 279 508 544 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 559 017 088;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 559 017 088 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 473 118 034 176;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 473 118 034 176 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 946 236 068 352;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 946 236 068 352 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 892 472 136 704;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 892 472 136 704 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 784 944 273 408;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 784 944 273 408 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 569 888 546 816;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 569 888 546 816 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 139 777 093 632;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 139 777 093 632 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 279 554 187 264;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 279 554 187 264 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 559 108 374 528;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 559 108 374 528 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 118 216 749 056;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 118 216 749 056 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 236 433 498 112;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 236 433 498 112 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 472 866 996 224;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 472 866 996 224 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 945 733 992 448;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 945 733 992 448 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 121 891 467 984 896;
  • 21) 0.842 602 829 200 705 595 636 873 439 121 891 467 984 896 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 243 782 935 969 792;
  • 22) 0.685 205 658 401 411 191 273 746 878 243 782 935 969 792 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 487 565 871 939 584;
  • 23) 0.370 411 316 802 822 382 547 493 756 487 565 871 939 584 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 975 131 743 879 168;
  • 24) 0.740 822 633 605 644 765 094 987 512 975 131 743 879 168 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 950 263 487 758 336;
  • 25) 0.481 645 267 211 289 530 189 975 025 950 263 487 758 336 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 900 526 975 516 672;
  • 26) 0.963 290 534 422 579 060 379 950 051 900 526 975 516 672 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 801 053 951 033 344;
  • 27) 0.926 581 068 845 158 120 759 900 103 801 053 951 033 344 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 602 107 902 066 688;
  • 28) 0.853 162 137 690 316 241 519 800 207 602 107 902 066 688 × 2 = 1 + 0.706 324 275 380 632 483 039 600 415 204 215 804 133 376;
  • 29) 0.706 324 275 380 632 483 039 600 415 204 215 804 133 376 × 2 = 1 + 0.412 648 550 761 264 966 079 200 830 408 431 608 266 752;
  • 30) 0.412 648 550 761 264 966 079 200 830 408 431 608 266 752 × 2 = 0 + 0.825 297 101 522 529 932 158 401 660 816 863 216 533 504;
  • 31) 0.825 297 101 522 529 932 158 401 660 816 863 216 533 504 × 2 = 1 + 0.650 594 203 045 059 864 316 803 321 633 726 433 067 008;
  • 32) 0.650 594 203 045 059 864 316 803 321 633 726 433 067 008 × 2 = 1 + 0.301 188 406 090 119 728 633 606 643 267 452 866 134 016;
  • 33) 0.301 188 406 090 119 728 633 606 643 267 452 866 134 016 × 2 = 0 + 0.602 376 812 180 239 457 267 213 286 534 905 732 268 032;
  • 34) 0.602 376 812 180 239 457 267 213 286 534 905 732 268 032 × 2 = 1 + 0.204 753 624 360 478 914 534 426 573 069 811 464 536 064;
  • 35) 0.204 753 624 360 478 914 534 426 573 069 811 464 536 064 × 2 = 0 + 0.409 507 248 720 957 829 068 853 146 139 622 929 072 128;
  • 36) 0.409 507 248 720 957 829 068 853 146 139 622 929 072 128 × 2 = 0 + 0.819 014 497 441 915 658 137 706 292 279 245 858 144 256;
  • 37) 0.819 014 497 441 915 658 137 706 292 279 245 858 144 256 × 2 = 1 + 0.638 028 994 883 831 316 275 412 584 558 491 716 288 512;
  • 38) 0.638 028 994 883 831 316 275 412 584 558 491 716 288 512 × 2 = 1 + 0.276 057 989 767 662 632 550 825 169 116 983 432 577 024;
  • 39) 0.276 057 989 767 662 632 550 825 169 116 983 432 577 024 × 2 = 0 + 0.552 115 979 535 325 265 101 650 338 233 966 865 154 048;
  • 40) 0.552 115 979 535 325 265 101 650 338 233 966 865 154 048 × 2 = 1 + 0.104 231 959 070 650 530 203 300 676 467 933 730 308 096;
  • 41) 0.104 231 959 070 650 530 203 300 676 467 933 730 308 096 × 2 = 0 + 0.208 463 918 141 301 060 406 601 352 935 867 460 616 192;
  • 42) 0.208 463 918 141 301 060 406 601 352 935 867 460 616 192 × 2 = 0 + 0.416 927 836 282 602 120 813 202 705 871 734 921 232 384;
  • 43) 0.416 927 836 282 602 120 813 202 705 871 734 921 232 384 × 2 = 0 + 0.833 855 672 565 204 241 626 405 411 743 469 842 464 768;
  • 44) 0.833 855 672 565 204 241 626 405 411 743 469 842 464 768 × 2 = 1 + 0.667 711 345 130 408 483 252 810 823 486 939 684 929 536;
  • 45) 0.667 711 345 130 408 483 252 810 823 486 939 684 929 536 × 2 = 1 + 0.335 422 690 260 816 966 505 621 646 973 879 369 859 072;
  • 46) 0.335 422 690 260 816 966 505 621 646 973 879 369 859 072 × 2 = 0 + 0.670 845 380 521 633 933 011 243 293 947 758 739 718 144;
  • 47) 0.670 845 380 521 633 933 011 243 293 947 758 739 718 144 × 2 = 1 + 0.341 690 761 043 267 866 022 486 587 895 517 479 436 288;
  • 48) 0.341 690 761 043 267 866 022 486 587 895 517 479 436 288 × 2 = 0 + 0.683 381 522 086 535 732 044 973 175 791 034 958 872 576;
  • 49) 0.683 381 522 086 535 732 044 973 175 791 034 958 872 576 × 2 = 1 + 0.366 763 044 173 071 464 089 946 351 582 069 917 745 152;
  • 50) 0.366 763 044 173 071 464 089 946 351 582 069 917 745 152 × 2 = 0 + 0.733 526 088 346 142 928 179 892 703 164 139 835 490 304;
  • 51) 0.733 526 088 346 142 928 179 892 703 164 139 835 490 304 × 2 = 1 + 0.467 052 176 692 285 856 359 785 406 328 279 670 980 608;
  • 52) 0.467 052 176 692 285 856 359 785 406 328 279 670 980 608 × 2 = 0 + 0.934 104 353 384 571 712 719 570 812 656 559 341 961 216;
  • 53) 0.934 104 353 384 571 712 719 570 812 656 559 341 961 216 × 2 = 1 + 0.868 208 706 769 143 425 439 141 625 313 118 683 922 432;
  • 54) 0.868 208 706 769 143 425 439 141 625 313 118 683 922 432 × 2 = 1 + 0.736 417 413 538 286 850 878 283 250 626 237 367 844 864;
  • 55) 0.736 417 413 538 286 850 878 283 250 626 237 367 844 864 × 2 = 1 + 0.472 834 827 076 573 701 756 566 501 252 474 735 689 728;
  • 56) 0.472 834 827 076 573 701 756 566 501 252 474 735 689 728 × 2 = 0 + 0.945 669 654 153 147 403 513 133 002 504 949 471 379 456;
  • 57) 0.945 669 654 153 147 403 513 133 002 504 949 471 379 456 × 2 = 1 + 0.891 339 308 306 294 807 026 266 005 009 898 942 758 912;
  • 58) 0.891 339 308 306 294 807 026 266 005 009 898 942 758 912 × 2 = 1 + 0.782 678 616 612 589 614 052 532 010 019 797 885 517 824;
  • 59) 0.782 678 616 612 589 614 052 532 010 019 797 885 517 824 × 2 = 1 + 0.565 357 233 225 179 228 105 064 020 039 595 771 035 648;
  • 60) 0.565 357 233 225 179 228 105 064 020 039 595 771 035 648 × 2 = 1 + 0.130 714 466 450 358 456 210 128 040 079 191 542 071 296;
  • 61) 0.130 714 466 450 358 456 210 128 040 079 191 542 071 296 × 2 = 0 + 0.261 428 932 900 716 912 420 256 080 158 383 084 142 592;
  • 62) 0.261 428 932 900 716 912 420 256 080 158 383 084 142 592 × 2 = 0 + 0.522 857 865 801 433 824 840 512 160 316 766 168 285 184;
  • 63) 0.522 857 865 801 433 824 840 512 160 316 766 168 285 184 × 2 = 1 + 0.045 715 731 602 867 649 681 024 320 633 532 336 570 368;
  • 64) 0.045 715 731 602 867 649 681 024 320 633 532 336 570 368 × 2 = 0 + 0.091 431 463 205 735 299 362 048 641 267 064 673 140 736;
  • 65) 0.091 431 463 205 735 299 362 048 641 267 064 673 140 736 × 2 = 0 + 0.182 862 926 411 470 598 724 097 282 534 129 346 281 472;
  • 66) 0.182 862 926 411 470 598 724 097 282 534 129 346 281 472 × 2 = 0 + 0.365 725 852 822 941 197 448 194 565 068 258 692 562 944;
  • 67) 0.365 725 852 822 941 197 448 194 565 068 258 692 562 944 × 2 = 0 + 0.731 451 705 645 882 394 896 389 130 136 517 385 125 888;
  • 68) 0.731 451 705 645 882 394 896 389 130 136 517 385 125 888 × 2 = 1 + 0.462 903 411 291 764 789 792 778 260 273 034 770 251 776;

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:


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

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


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

Share

» Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 660 617 336 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 08, 2026 [August]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: August - by our visitors

» Improve your social skills: My Manager Only Says “We” When Referring to “My Work”. Gemini Notebook 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