0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37(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
0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37(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: 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37.

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) 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37 × 2 = 0 + 0.062 831 853 071 795 864 769 252 867 665 590 057 683 943 387 987 508 74;
  • 2) 0.062 831 853 071 795 864 769 252 867 665 590 057 683 943 387 987 508 74 × 2 = 0 + 0.125 663 706 143 591 729 538 505 735 331 180 115 367 886 775 975 017 48;
  • 3) 0.125 663 706 143 591 729 538 505 735 331 180 115 367 886 775 975 017 48 × 2 = 0 + 0.251 327 412 287 183 459 077 011 470 662 360 230 735 773 551 950 034 96;
  • 4) 0.251 327 412 287 183 459 077 011 470 662 360 230 735 773 551 950 034 96 × 2 = 0 + 0.502 654 824 574 366 918 154 022 941 324 720 461 471 547 103 900 069 92;
  • 5) 0.502 654 824 574 366 918 154 022 941 324 720 461 471 547 103 900 069 92 × 2 = 1 + 0.005 309 649 148 733 836 308 045 882 649 440 922 943 094 207 800 139 84;
  • 6) 0.005 309 649 148 733 836 308 045 882 649 440 922 943 094 207 800 139 84 × 2 = 0 + 0.010 619 298 297 467 672 616 091 765 298 881 845 886 188 415 600 279 68;
  • 7) 0.010 619 298 297 467 672 616 091 765 298 881 845 886 188 415 600 279 68 × 2 = 0 + 0.021 238 596 594 935 345 232 183 530 597 763 691 772 376 831 200 559 36;
  • 8) 0.021 238 596 594 935 345 232 183 530 597 763 691 772 376 831 200 559 36 × 2 = 0 + 0.042 477 193 189 870 690 464 367 061 195 527 383 544 753 662 401 118 72;
  • 9) 0.042 477 193 189 870 690 464 367 061 195 527 383 544 753 662 401 118 72 × 2 = 0 + 0.084 954 386 379 741 380 928 734 122 391 054 767 089 507 324 802 237 44;
  • 10) 0.084 954 386 379 741 380 928 734 122 391 054 767 089 507 324 802 237 44 × 2 = 0 + 0.169 908 772 759 482 761 857 468 244 782 109 534 179 014 649 604 474 88;
  • 11) 0.169 908 772 759 482 761 857 468 244 782 109 534 179 014 649 604 474 88 × 2 = 0 + 0.339 817 545 518 965 523 714 936 489 564 219 068 358 029 299 208 949 76;
  • 12) 0.339 817 545 518 965 523 714 936 489 564 219 068 358 029 299 208 949 76 × 2 = 0 + 0.679 635 091 037 931 047 429 872 979 128 438 136 716 058 598 417 899 52;
  • 13) 0.679 635 091 037 931 047 429 872 979 128 438 136 716 058 598 417 899 52 × 2 = 1 + 0.359 270 182 075 862 094 859 745 958 256 876 273 432 117 196 835 799 04;
  • 14) 0.359 270 182 075 862 094 859 745 958 256 876 273 432 117 196 835 799 04 × 2 = 0 + 0.718 540 364 151 724 189 719 491 916 513 752 546 864 234 393 671 598 08;
  • 15) 0.718 540 364 151 724 189 719 491 916 513 752 546 864 234 393 671 598 08 × 2 = 1 + 0.437 080 728 303 448 379 438 983 833 027 505 093 728 468 787 343 196 16;
  • 16) 0.437 080 728 303 448 379 438 983 833 027 505 093 728 468 787 343 196 16 × 2 = 0 + 0.874 161 456 606 896 758 877 967 666 055 010 187 456 937 574 686 392 32;
  • 17) 0.874 161 456 606 896 758 877 967 666 055 010 187 456 937 574 686 392 32 × 2 = 1 + 0.748 322 913 213 793 517 755 935 332 110 020 374 913 875 149 372 784 64;
  • 18) 0.748 322 913 213 793 517 755 935 332 110 020 374 913 875 149 372 784 64 × 2 = 1 + 0.496 645 826 427 587 035 511 870 664 220 040 749 827 750 298 745 569 28;
  • 19) 0.496 645 826 427 587 035 511 870 664 220 040 749 827 750 298 745 569 28 × 2 = 0 + 0.993 291 652 855 174 071 023 741 328 440 081 499 655 500 597 491 138 56;
  • 20) 0.993 291 652 855 174 071 023 741 328 440 081 499 655 500 597 491 138 56 × 2 = 1 + 0.986 583 305 710 348 142 047 482 656 880 162 999 311 001 194 982 277 12;
  • 21) 0.986 583 305 710 348 142 047 482 656 880 162 999 311 001 194 982 277 12 × 2 = 1 + 0.973 166 611 420 696 284 094 965 313 760 325 998 622 002 389 964 554 24;
  • 22) 0.973 166 611 420 696 284 094 965 313 760 325 998 622 002 389 964 554 24 × 2 = 1 + 0.946 333 222 841 392 568 189 930 627 520 651 997 244 004 779 929 108 48;
  • 23) 0.946 333 222 841 392 568 189 930 627 520 651 997 244 004 779 929 108 48 × 2 = 1 + 0.892 666 445 682 785 136 379 861 255 041 303 994 488 009 559 858 216 96;
  • 24) 0.892 666 445 682 785 136 379 861 255 041 303 994 488 009 559 858 216 96 × 2 = 1 + 0.785 332 891 365 570 272 759 722 510 082 607 988 976 019 119 716 433 92;
  • 25) 0.785 332 891 365 570 272 759 722 510 082 607 988 976 019 119 716 433 92 × 2 = 1 + 0.570 665 782 731 140 545 519 445 020 165 215 977 952 038 239 432 867 84;
  • 26) 0.570 665 782 731 140 545 519 445 020 165 215 977 952 038 239 432 867 84 × 2 = 1 + 0.141 331 565 462 281 091 038 890 040 330 431 955 904 076 478 865 735 68;
  • 27) 0.141 331 565 462 281 091 038 890 040 330 431 955 904 076 478 865 735 68 × 2 = 0 + 0.282 663 130 924 562 182 077 780 080 660 863 911 808 152 957 731 471 36;
  • 28) 0.282 663 130 924 562 182 077 780 080 660 863 911 808 152 957 731 471 36 × 2 = 0 + 0.565 326 261 849 124 364 155 560 161 321 727 823 616 305 915 462 942 72;
  • 29) 0.565 326 261 849 124 364 155 560 161 321 727 823 616 305 915 462 942 72 × 2 = 1 + 0.130 652 523 698 248 728 311 120 322 643 455 647 232 611 830 925 885 44;
  • 30) 0.130 652 523 698 248 728 311 120 322 643 455 647 232 611 830 925 885 44 × 2 = 0 + 0.261 305 047 396 497 456 622 240 645 286 911 294 465 223 661 851 770 88;
  • 31) 0.261 305 047 396 497 456 622 240 645 286 911 294 465 223 661 851 770 88 × 2 = 0 + 0.522 610 094 792 994 913 244 481 290 573 822 588 930 447 323 703 541 76;
  • 32) 0.522 610 094 792 994 913 244 481 290 573 822 588 930 447 323 703 541 76 × 2 = 1 + 0.045 220 189 585 989 826 488 962 581 147 645 177 860 894 647 407 083 52;
  • 33) 0.045 220 189 585 989 826 488 962 581 147 645 177 860 894 647 407 083 52 × 2 = 0 + 0.090 440 379 171 979 652 977 925 162 295 290 355 721 789 294 814 167 04;
  • 34) 0.090 440 379 171 979 652 977 925 162 295 290 355 721 789 294 814 167 04 × 2 = 0 + 0.180 880 758 343 959 305 955 850 324 590 580 711 443 578 589 628 334 08;
  • 35) 0.180 880 758 343 959 305 955 850 324 590 580 711 443 578 589 628 334 08 × 2 = 0 + 0.361 761 516 687 918 611 911 700 649 181 161 422 887 157 179 256 668 16;
  • 36) 0.361 761 516 687 918 611 911 700 649 181 161 422 887 157 179 256 668 16 × 2 = 0 + 0.723 523 033 375 837 223 823 401 298 362 322 845 774 314 358 513 336 32;
  • 37) 0.723 523 033 375 837 223 823 401 298 362 322 845 774 314 358 513 336 32 × 2 = 1 + 0.447 046 066 751 674 447 646 802 596 724 645 691 548 628 717 026 672 64;
  • 38) 0.447 046 066 751 674 447 646 802 596 724 645 691 548 628 717 026 672 64 × 2 = 0 + 0.894 092 133 503 348 895 293 605 193 449 291 383 097 257 434 053 345 28;
  • 39) 0.894 092 133 503 348 895 293 605 193 449 291 383 097 257 434 053 345 28 × 2 = 1 + 0.788 184 267 006 697 790 587 210 386 898 582 766 194 514 868 106 690 56;
  • 40) 0.788 184 267 006 697 790 587 210 386 898 582 766 194 514 868 106 690 56 × 2 = 1 + 0.576 368 534 013 395 581 174 420 773 797 165 532 389 029 736 213 381 12;
  • 41) 0.576 368 534 013 395 581 174 420 773 797 165 532 389 029 736 213 381 12 × 2 = 1 + 0.152 737 068 026 791 162 348 841 547 594 331 064 778 059 472 426 762 24;
  • 42) 0.152 737 068 026 791 162 348 841 547 594 331 064 778 059 472 426 762 24 × 2 = 0 + 0.305 474 136 053 582 324 697 683 095 188 662 129 556 118 944 853 524 48;
  • 43) 0.305 474 136 053 582 324 697 683 095 188 662 129 556 118 944 853 524 48 × 2 = 0 + 0.610 948 272 107 164 649 395 366 190 377 324 259 112 237 889 707 048 96;
  • 44) 0.610 948 272 107 164 649 395 366 190 377 324 259 112 237 889 707 048 96 × 2 = 1 + 0.221 896 544 214 329 298 790 732 380 754 648 518 224 475 779 414 097 92;
  • 45) 0.221 896 544 214 329 298 790 732 380 754 648 518 224 475 779 414 097 92 × 2 = 0 + 0.443 793 088 428 658 597 581 464 761 509 297 036 448 951 558 828 195 84;
  • 46) 0.443 793 088 428 658 597 581 464 761 509 297 036 448 951 558 828 195 84 × 2 = 0 + 0.887 586 176 857 317 195 162 929 523 018 594 072 897 903 117 656 391 68;
  • 47) 0.887 586 176 857 317 195 162 929 523 018 594 072 897 903 117 656 391 68 × 2 = 1 + 0.775 172 353 714 634 390 325 859 046 037 188 145 795 806 235 312 783 36;
  • 48) 0.775 172 353 714 634 390 325 859 046 037 188 145 795 806 235 312 783 36 × 2 = 1 + 0.550 344 707 429 268 780 651 718 092 074 376 291 591 612 470 625 566 72;
  • 49) 0.550 344 707 429 268 780 651 718 092 074 376 291 591 612 470 625 566 72 × 2 = 1 + 0.100 689 414 858 537 561 303 436 184 148 752 583 183 224 941 251 133 44;
  • 50) 0.100 689 414 858 537 561 303 436 184 148 752 583 183 224 941 251 133 44 × 2 = 0 + 0.201 378 829 717 075 122 606 872 368 297 505 166 366 449 882 502 266 88;
  • 51) 0.201 378 829 717 075 122 606 872 368 297 505 166 366 449 882 502 266 88 × 2 = 0 + 0.402 757 659 434 150 245 213 744 736 595 010 332 732 899 765 004 533 76;
  • 52) 0.402 757 659 434 150 245 213 744 736 595 010 332 732 899 765 004 533 76 × 2 = 0 + 0.805 515 318 868 300 490 427 489 473 190 020 665 465 799 530 009 067 52;
  • 53) 0.805 515 318 868 300 490 427 489 473 190 020 665 465 799 530 009 067 52 × 2 = 1 + 0.611 030 637 736 600 980 854 978 946 380 041 330 931 599 060 018 135 04;
  • 54) 0.611 030 637 736 600 980 854 978 946 380 041 330 931 599 060 018 135 04 × 2 = 1 + 0.222 061 275 473 201 961 709 957 892 760 082 661 863 198 120 036 270 08;
  • 55) 0.222 061 275 473 201 961 709 957 892 760 082 661 863 198 120 036 270 08 × 2 = 0 + 0.444 122 550 946 403 923 419 915 785 520 165 323 726 396 240 072 540 16;
  • 56) 0.444 122 550 946 403 923 419 915 785 520 165 323 726 396 240 072 540 16 × 2 = 0 + 0.888 245 101 892 807 846 839 831 571 040 330 647 452 792 480 145 080 32;
  • 57) 0.888 245 101 892 807 846 839 831 571 040 330 647 452 792 480 145 080 32 × 2 = 1 + 0.776 490 203 785 615 693 679 663 142 080 661 294 905 584 960 290 160 64;

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:


0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37(10) =

0.0000 1000 0000 1010 1101 1111 1100 1001 0000 1011 1001 0011 1000 1100 1(2)

5. Positive number before normalization:

0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37(10) =

0.0000 1000 0000 1010 1101 1111 1100 1001 0000 1011 1001 0011 1000 1100 1(2)

6. 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:


0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37(10) =

0.0000 1000 0000 1010 1101 1111 1100 1001 0000 1011 1001 0011 1000 1100 1(2) =

0.0000 1000 0000 1010 1101 1111 1100 1001 0000 1011 1001 0011 1000 1100 1(2) × 20 =

1.0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001(2) × 2-5


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): -5

Mantissa (not normalized):
1.0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001


8. 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)


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;
  • 1 018 ÷ 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;

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) =

1018(10) =

011 1111 1010(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. 0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001 =

0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001


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 1111 1010

Mantissa (52 bits) =
0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001


Decimal number 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 37 converted to 64 bit double precision IEEE 754 binary floating point representation:

0 - 011 1111 1010 - 0000 0001 0101 1011 1111 1001 0010 0001 0111 0010 0111 0001 1001

Share

» Convert decimal 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 993 754 77 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 05, 2026 [May]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: May - by our visitors

» Improve your social skills: The Hidden Requirement in Every Single Job Description. NotebookLM YouTube Video of 8.15 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