0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007(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
0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007(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: 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007.

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) 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007 × 2 = 0 + 0.062 831 853 071 795 864 769 252 867 665 590 057 683 943 387 988 014;
  • 2) 0.062 831 853 071 795 864 769 252 867 665 590 057 683 943 387 988 014 × 2 = 0 + 0.125 663 706 143 591 729 538 505 735 331 180 115 367 886 775 976 028;
  • 3) 0.125 663 706 143 591 729 538 505 735 331 180 115 367 886 775 976 028 × 2 = 0 + 0.251 327 412 287 183 459 077 011 470 662 360 230 735 773 551 952 056;
  • 4) 0.251 327 412 287 183 459 077 011 470 662 360 230 735 773 551 952 056 × 2 = 0 + 0.502 654 824 574 366 918 154 022 941 324 720 461 471 547 103 904 112;
  • 5) 0.502 654 824 574 366 918 154 022 941 324 720 461 471 547 103 904 112 × 2 = 1 + 0.005 309 649 148 733 836 308 045 882 649 440 922 943 094 207 808 224;
  • 6) 0.005 309 649 148 733 836 308 045 882 649 440 922 943 094 207 808 224 × 2 = 0 + 0.010 619 298 297 467 672 616 091 765 298 881 845 886 188 415 616 448;
  • 7) 0.010 619 298 297 467 672 616 091 765 298 881 845 886 188 415 616 448 × 2 = 0 + 0.021 238 596 594 935 345 232 183 530 597 763 691 772 376 831 232 896;
  • 8) 0.021 238 596 594 935 345 232 183 530 597 763 691 772 376 831 232 896 × 2 = 0 + 0.042 477 193 189 870 690 464 367 061 195 527 383 544 753 662 465 792;
  • 9) 0.042 477 193 189 870 690 464 367 061 195 527 383 544 753 662 465 792 × 2 = 0 + 0.084 954 386 379 741 380 928 734 122 391 054 767 089 507 324 931 584;
  • 10) 0.084 954 386 379 741 380 928 734 122 391 054 767 089 507 324 931 584 × 2 = 0 + 0.169 908 772 759 482 761 857 468 244 782 109 534 179 014 649 863 168;
  • 11) 0.169 908 772 759 482 761 857 468 244 782 109 534 179 014 649 863 168 × 2 = 0 + 0.339 817 545 518 965 523 714 936 489 564 219 068 358 029 299 726 336;
  • 12) 0.339 817 545 518 965 523 714 936 489 564 219 068 358 029 299 726 336 × 2 = 0 + 0.679 635 091 037 931 047 429 872 979 128 438 136 716 058 599 452 672;
  • 13) 0.679 635 091 037 931 047 429 872 979 128 438 136 716 058 599 452 672 × 2 = 1 + 0.359 270 182 075 862 094 859 745 958 256 876 273 432 117 198 905 344;
  • 14) 0.359 270 182 075 862 094 859 745 958 256 876 273 432 117 198 905 344 × 2 = 0 + 0.718 540 364 151 724 189 719 491 916 513 752 546 864 234 397 810 688;
  • 15) 0.718 540 364 151 724 189 719 491 916 513 752 546 864 234 397 810 688 × 2 = 1 + 0.437 080 728 303 448 379 438 983 833 027 505 093 728 468 795 621 376;
  • 16) 0.437 080 728 303 448 379 438 983 833 027 505 093 728 468 795 621 376 × 2 = 0 + 0.874 161 456 606 896 758 877 967 666 055 010 187 456 937 591 242 752;
  • 17) 0.874 161 456 606 896 758 877 967 666 055 010 187 456 937 591 242 752 × 2 = 1 + 0.748 322 913 213 793 517 755 935 332 110 020 374 913 875 182 485 504;
  • 18) 0.748 322 913 213 793 517 755 935 332 110 020 374 913 875 182 485 504 × 2 = 1 + 0.496 645 826 427 587 035 511 870 664 220 040 749 827 750 364 971 008;
  • 19) 0.496 645 826 427 587 035 511 870 664 220 040 749 827 750 364 971 008 × 2 = 0 + 0.993 291 652 855 174 071 023 741 328 440 081 499 655 500 729 942 016;
  • 20) 0.993 291 652 855 174 071 023 741 328 440 081 499 655 500 729 942 016 × 2 = 1 + 0.986 583 305 710 348 142 047 482 656 880 162 999 311 001 459 884 032;
  • 21) 0.986 583 305 710 348 142 047 482 656 880 162 999 311 001 459 884 032 × 2 = 1 + 0.973 166 611 420 696 284 094 965 313 760 325 998 622 002 919 768 064;
  • 22) 0.973 166 611 420 696 284 094 965 313 760 325 998 622 002 919 768 064 × 2 = 1 + 0.946 333 222 841 392 568 189 930 627 520 651 997 244 005 839 536 128;
  • 23) 0.946 333 222 841 392 568 189 930 627 520 651 997 244 005 839 536 128 × 2 = 1 + 0.892 666 445 682 785 136 379 861 255 041 303 994 488 011 679 072 256;
  • 24) 0.892 666 445 682 785 136 379 861 255 041 303 994 488 011 679 072 256 × 2 = 1 + 0.785 332 891 365 570 272 759 722 510 082 607 988 976 023 358 144 512;
  • 25) 0.785 332 891 365 570 272 759 722 510 082 607 988 976 023 358 144 512 × 2 = 1 + 0.570 665 782 731 140 545 519 445 020 165 215 977 952 046 716 289 024;
  • 26) 0.570 665 782 731 140 545 519 445 020 165 215 977 952 046 716 289 024 × 2 = 1 + 0.141 331 565 462 281 091 038 890 040 330 431 955 904 093 432 578 048;
  • 27) 0.141 331 565 462 281 091 038 890 040 330 431 955 904 093 432 578 048 × 2 = 0 + 0.282 663 130 924 562 182 077 780 080 660 863 911 808 186 865 156 096;
  • 28) 0.282 663 130 924 562 182 077 780 080 660 863 911 808 186 865 156 096 × 2 = 0 + 0.565 326 261 849 124 364 155 560 161 321 727 823 616 373 730 312 192;
  • 29) 0.565 326 261 849 124 364 155 560 161 321 727 823 616 373 730 312 192 × 2 = 1 + 0.130 652 523 698 248 728 311 120 322 643 455 647 232 747 460 624 384;
  • 30) 0.130 652 523 698 248 728 311 120 322 643 455 647 232 747 460 624 384 × 2 = 0 + 0.261 305 047 396 497 456 622 240 645 286 911 294 465 494 921 248 768;
  • 31) 0.261 305 047 396 497 456 622 240 645 286 911 294 465 494 921 248 768 × 2 = 0 + 0.522 610 094 792 994 913 244 481 290 573 822 588 930 989 842 497 536;
  • 32) 0.522 610 094 792 994 913 244 481 290 573 822 588 930 989 842 497 536 × 2 = 1 + 0.045 220 189 585 989 826 488 962 581 147 645 177 861 979 684 995 072;
  • 33) 0.045 220 189 585 989 826 488 962 581 147 645 177 861 979 684 995 072 × 2 = 0 + 0.090 440 379 171 979 652 977 925 162 295 290 355 723 959 369 990 144;
  • 34) 0.090 440 379 171 979 652 977 925 162 295 290 355 723 959 369 990 144 × 2 = 0 + 0.180 880 758 343 959 305 955 850 324 590 580 711 447 918 739 980 288;
  • 35) 0.180 880 758 343 959 305 955 850 324 590 580 711 447 918 739 980 288 × 2 = 0 + 0.361 761 516 687 918 611 911 700 649 181 161 422 895 837 479 960 576;
  • 36) 0.361 761 516 687 918 611 911 700 649 181 161 422 895 837 479 960 576 × 2 = 0 + 0.723 523 033 375 837 223 823 401 298 362 322 845 791 674 959 921 152;
  • 37) 0.723 523 033 375 837 223 823 401 298 362 322 845 791 674 959 921 152 × 2 = 1 + 0.447 046 066 751 674 447 646 802 596 724 645 691 583 349 919 842 304;
  • 38) 0.447 046 066 751 674 447 646 802 596 724 645 691 583 349 919 842 304 × 2 = 0 + 0.894 092 133 503 348 895 293 605 193 449 291 383 166 699 839 684 608;
  • 39) 0.894 092 133 503 348 895 293 605 193 449 291 383 166 699 839 684 608 × 2 = 1 + 0.788 184 267 006 697 790 587 210 386 898 582 766 333 399 679 369 216;
  • 40) 0.788 184 267 006 697 790 587 210 386 898 582 766 333 399 679 369 216 × 2 = 1 + 0.576 368 534 013 395 581 174 420 773 797 165 532 666 799 358 738 432;
  • 41) 0.576 368 534 013 395 581 174 420 773 797 165 532 666 799 358 738 432 × 2 = 1 + 0.152 737 068 026 791 162 348 841 547 594 331 065 333 598 717 476 864;
  • 42) 0.152 737 068 026 791 162 348 841 547 594 331 065 333 598 717 476 864 × 2 = 0 + 0.305 474 136 053 582 324 697 683 095 188 662 130 667 197 434 953 728;
  • 43) 0.305 474 136 053 582 324 697 683 095 188 662 130 667 197 434 953 728 × 2 = 0 + 0.610 948 272 107 164 649 395 366 190 377 324 261 334 394 869 907 456;
  • 44) 0.610 948 272 107 164 649 395 366 190 377 324 261 334 394 869 907 456 × 2 = 1 + 0.221 896 544 214 329 298 790 732 380 754 648 522 668 789 739 814 912;
  • 45) 0.221 896 544 214 329 298 790 732 380 754 648 522 668 789 739 814 912 × 2 = 0 + 0.443 793 088 428 658 597 581 464 761 509 297 045 337 579 479 629 824;
  • 46) 0.443 793 088 428 658 597 581 464 761 509 297 045 337 579 479 629 824 × 2 = 0 + 0.887 586 176 857 317 195 162 929 523 018 594 090 675 158 959 259 648;
  • 47) 0.887 586 176 857 317 195 162 929 523 018 594 090 675 158 959 259 648 × 2 = 1 + 0.775 172 353 714 634 390 325 859 046 037 188 181 350 317 918 519 296;
  • 48) 0.775 172 353 714 634 390 325 859 046 037 188 181 350 317 918 519 296 × 2 = 1 + 0.550 344 707 429 268 780 651 718 092 074 376 362 700 635 837 038 592;
  • 49) 0.550 344 707 429 268 780 651 718 092 074 376 362 700 635 837 038 592 × 2 = 1 + 0.100 689 414 858 537 561 303 436 184 148 752 725 401 271 674 077 184;
  • 50) 0.100 689 414 858 537 561 303 436 184 148 752 725 401 271 674 077 184 × 2 = 0 + 0.201 378 829 717 075 122 606 872 368 297 505 450 802 543 348 154 368;
  • 51) 0.201 378 829 717 075 122 606 872 368 297 505 450 802 543 348 154 368 × 2 = 0 + 0.402 757 659 434 150 245 213 744 736 595 010 901 605 086 696 308 736;
  • 52) 0.402 757 659 434 150 245 213 744 736 595 010 901 605 086 696 308 736 × 2 = 0 + 0.805 515 318 868 300 490 427 489 473 190 021 803 210 173 392 617 472;
  • 53) 0.805 515 318 868 300 490 427 489 473 190 021 803 210 173 392 617 472 × 2 = 1 + 0.611 030 637 736 600 980 854 978 946 380 043 606 420 346 785 234 944;
  • 54) 0.611 030 637 736 600 980 854 978 946 380 043 606 420 346 785 234 944 × 2 = 1 + 0.222 061 275 473 201 961 709 957 892 760 087 212 840 693 570 469 888;
  • 55) 0.222 061 275 473 201 961 709 957 892 760 087 212 840 693 570 469 888 × 2 = 0 + 0.444 122 550 946 403 923 419 915 785 520 174 425 681 387 140 939 776;
  • 56) 0.444 122 550 946 403 923 419 915 785 520 174 425 681 387 140 939 776 × 2 = 0 + 0.888 245 101 892 807 846 839 831 571 040 348 851 362 774 281 879 552;
  • 57) 0.888 245 101 892 807 846 839 831 571 040 348 851 362 774 281 879 552 × 2 = 1 + 0.776 490 203 785 615 693 679 663 142 080 697 702 725 548 563 759 104;

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:


0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007(10) =

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

5. Positive number before normalization:

0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007(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:


0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007(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 0.031 415 926 535 897 932 384 626 433 832 795 028 841 971 693 994 007 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

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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