-2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89(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
-2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89(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. Start with the positive version of the number:

|-2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89| = 2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89


2. First, convert to binary (in base 2) the integer part: 2.
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;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

3. 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.

2(10) =

10(2)


4. Convert to binary (base 2) the fractional part: 0.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89.

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) 0.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89 × 2 = 0 + 0.423 658 104 766 716 600 239 097 323 399 306 560 531 840 659 677 982 321 78;
  • 2) 0.423 658 104 766 716 600 239 097 323 399 306 560 531 840 659 677 982 321 78 × 2 = 0 + 0.847 316 209 533 433 200 478 194 646 798 613 121 063 681 319 355 964 643 56;
  • 3) 0.847 316 209 533 433 200 478 194 646 798 613 121 063 681 319 355 964 643 56 × 2 = 1 + 0.694 632 419 066 866 400 956 389 293 597 226 242 127 362 638 711 929 287 12;
  • 4) 0.694 632 419 066 866 400 956 389 293 597 226 242 127 362 638 711 929 287 12 × 2 = 1 + 0.389 264 838 133 732 801 912 778 587 194 452 484 254 725 277 423 858 574 24;
  • 5) 0.389 264 838 133 732 801 912 778 587 194 452 484 254 725 277 423 858 574 24 × 2 = 0 + 0.778 529 676 267 465 603 825 557 174 388 904 968 509 450 554 847 717 148 48;
  • 6) 0.778 529 676 267 465 603 825 557 174 388 904 968 509 450 554 847 717 148 48 × 2 = 1 + 0.557 059 352 534 931 207 651 114 348 777 809 937 018 901 109 695 434 296 96;
  • 7) 0.557 059 352 534 931 207 651 114 348 777 809 937 018 901 109 695 434 296 96 × 2 = 1 + 0.114 118 705 069 862 415 302 228 697 555 619 874 037 802 219 390 868 593 92;
  • 8) 0.114 118 705 069 862 415 302 228 697 555 619 874 037 802 219 390 868 593 92 × 2 = 0 + 0.228 237 410 139 724 830 604 457 395 111 239 748 075 604 438 781 737 187 84;
  • 9) 0.228 237 410 139 724 830 604 457 395 111 239 748 075 604 438 781 737 187 84 × 2 = 0 + 0.456 474 820 279 449 661 208 914 790 222 479 496 151 208 877 563 474 375 68;
  • 10) 0.456 474 820 279 449 661 208 914 790 222 479 496 151 208 877 563 474 375 68 × 2 = 0 + 0.912 949 640 558 899 322 417 829 580 444 958 992 302 417 755 126 948 751 36;
  • 11) 0.912 949 640 558 899 322 417 829 580 444 958 992 302 417 755 126 948 751 36 × 2 = 1 + 0.825 899 281 117 798 644 835 659 160 889 917 984 604 835 510 253 897 502 72;
  • 12) 0.825 899 281 117 798 644 835 659 160 889 917 984 604 835 510 253 897 502 72 × 2 = 1 + 0.651 798 562 235 597 289 671 318 321 779 835 969 209 671 020 507 795 005 44;
  • 13) 0.651 798 562 235 597 289 671 318 321 779 835 969 209 671 020 507 795 005 44 × 2 = 1 + 0.303 597 124 471 194 579 342 636 643 559 671 938 419 342 041 015 590 010 88;
  • 14) 0.303 597 124 471 194 579 342 636 643 559 671 938 419 342 041 015 590 010 88 × 2 = 0 + 0.607 194 248 942 389 158 685 273 287 119 343 876 838 684 082 031 180 021 76;
  • 15) 0.607 194 248 942 389 158 685 273 287 119 343 876 838 684 082 031 180 021 76 × 2 = 1 + 0.214 388 497 884 778 317 370 546 574 238 687 753 677 368 164 062 360 043 52;
  • 16) 0.214 388 497 884 778 317 370 546 574 238 687 753 677 368 164 062 360 043 52 × 2 = 0 + 0.428 776 995 769 556 634 741 093 148 477 375 507 354 736 328 124 720 087 04;
  • 17) 0.428 776 995 769 556 634 741 093 148 477 375 507 354 736 328 124 720 087 04 × 2 = 0 + 0.857 553 991 539 113 269 482 186 296 954 751 014 709 472 656 249 440 174 08;
  • 18) 0.857 553 991 539 113 269 482 186 296 954 751 014 709 472 656 249 440 174 08 × 2 = 1 + 0.715 107 983 078 226 538 964 372 593 909 502 029 418 945 312 498 880 348 16;
  • 19) 0.715 107 983 078 226 538 964 372 593 909 502 029 418 945 312 498 880 348 16 × 2 = 1 + 0.430 215 966 156 453 077 928 745 187 819 004 058 837 890 624 997 760 696 32;
  • 20) 0.430 215 966 156 453 077 928 745 187 819 004 058 837 890 624 997 760 696 32 × 2 = 0 + 0.860 431 932 312 906 155 857 490 375 638 008 117 675 781 249 995 521 392 64;
  • 21) 0.860 431 932 312 906 155 857 490 375 638 008 117 675 781 249 995 521 392 64 × 2 = 1 + 0.720 863 864 625 812 311 714 980 751 276 016 235 351 562 499 991 042 785 28;
  • 22) 0.720 863 864 625 812 311 714 980 751 276 016 235 351 562 499 991 042 785 28 × 2 = 1 + 0.441 727 729 251 624 623 429 961 502 552 032 470 703 124 999 982 085 570 56;
  • 23) 0.441 727 729 251 624 623 429 961 502 552 032 470 703 124 999 982 085 570 56 × 2 = 0 + 0.883 455 458 503 249 246 859 923 005 104 064 941 406 249 999 964 171 141 12;
  • 24) 0.883 455 458 503 249 246 859 923 005 104 064 941 406 249 999 964 171 141 12 × 2 = 1 + 0.766 910 917 006 498 493 719 846 010 208 129 882 812 499 999 928 342 282 24;
  • 25) 0.766 910 917 006 498 493 719 846 010 208 129 882 812 499 999 928 342 282 24 × 2 = 1 + 0.533 821 834 012 996 987 439 692 020 416 259 765 624 999 999 856 684 564 48;
  • 26) 0.533 821 834 012 996 987 439 692 020 416 259 765 624 999 999 856 684 564 48 × 2 = 1 + 0.067 643 668 025 993 974 879 384 040 832 519 531 249 999 999 713 369 128 96;
  • 27) 0.067 643 668 025 993 974 879 384 040 832 519 531 249 999 999 713 369 128 96 × 2 = 0 + 0.135 287 336 051 987 949 758 768 081 665 039 062 499 999 999 426 738 257 92;
  • 28) 0.135 287 336 051 987 949 758 768 081 665 039 062 499 999 999 426 738 257 92 × 2 = 0 + 0.270 574 672 103 975 899 517 536 163 330 078 124 999 999 998 853 476 515 84;
  • 29) 0.270 574 672 103 975 899 517 536 163 330 078 124 999 999 998 853 476 515 84 × 2 = 0 + 0.541 149 344 207 951 799 035 072 326 660 156 249 999 999 997 706 953 031 68;
  • 30) 0.541 149 344 207 951 799 035 072 326 660 156 249 999 999 997 706 953 031 68 × 2 = 1 + 0.082 298 688 415 903 598 070 144 653 320 312 499 999 999 995 413 906 063 36;
  • 31) 0.082 298 688 415 903 598 070 144 653 320 312 499 999 999 995 413 906 063 36 × 2 = 0 + 0.164 597 376 831 807 196 140 289 306 640 624 999 999 999 990 827 812 126 72;
  • 32) 0.164 597 376 831 807 196 140 289 306 640 624 999 999 999 990 827 812 126 72 × 2 = 0 + 0.329 194 753 663 614 392 280 578 613 281 249 999 999 999 981 655 624 253 44;
  • 33) 0.329 194 753 663 614 392 280 578 613 281 249 999 999 999 981 655 624 253 44 × 2 = 0 + 0.658 389 507 327 228 784 561 157 226 562 499 999 999 999 963 311 248 506 88;
  • 34) 0.658 389 507 327 228 784 561 157 226 562 499 999 999 999 963 311 248 506 88 × 2 = 1 + 0.316 779 014 654 457 569 122 314 453 124 999 999 999 999 926 622 497 013 76;
  • 35) 0.316 779 014 654 457 569 122 314 453 124 999 999 999 999 926 622 497 013 76 × 2 = 0 + 0.633 558 029 308 915 138 244 628 906 249 999 999 999 999 853 244 994 027 52;
  • 36) 0.633 558 029 308 915 138 244 628 906 249 999 999 999 999 853 244 994 027 52 × 2 = 1 + 0.267 116 058 617 830 276 489 257 812 499 999 999 999 999 706 489 988 055 04;
  • 37) 0.267 116 058 617 830 276 489 257 812 499 999 999 999 999 706 489 988 055 04 × 2 = 0 + 0.534 232 117 235 660 552 978 515 624 999 999 999 999 999 412 979 976 110 08;
  • 38) 0.534 232 117 235 660 552 978 515 624 999 999 999 999 999 412 979 976 110 08 × 2 = 1 + 0.068 464 234 471 321 105 957 031 249 999 999 999 999 998 825 959 952 220 16;
  • 39) 0.068 464 234 471 321 105 957 031 249 999 999 999 999 998 825 959 952 220 16 × 2 = 0 + 0.136 928 468 942 642 211 914 062 499 999 999 999 999 997 651 919 904 440 32;
  • 40) 0.136 928 468 942 642 211 914 062 499 999 999 999 999 997 651 919 904 440 32 × 2 = 0 + 0.273 856 937 885 284 423 828 124 999 999 999 999 999 995 303 839 808 880 64;
  • 41) 0.273 856 937 885 284 423 828 124 999 999 999 999 999 995 303 839 808 880 64 × 2 = 0 + 0.547 713 875 770 568 847 656 249 999 999 999 999 999 990 607 679 617 761 28;
  • 42) 0.547 713 875 770 568 847 656 249 999 999 999 999 999 990 607 679 617 761 28 × 2 = 1 + 0.095 427 751 541 137 695 312 499 999 999 999 999 999 981 215 359 235 522 56;
  • 43) 0.095 427 751 541 137 695 312 499 999 999 999 999 999 981 215 359 235 522 56 × 2 = 0 + 0.190 855 503 082 275 390 624 999 999 999 999 999 999 962 430 718 471 045 12;
  • 44) 0.190 855 503 082 275 390 624 999 999 999 999 999 999 962 430 718 471 045 12 × 2 = 0 + 0.381 711 006 164 550 781 249 999 999 999 999 999 999 924 861 436 942 090 24;
  • 45) 0.381 711 006 164 550 781 249 999 999 999 999 999 999 924 861 436 942 090 24 × 2 = 0 + 0.763 422 012 329 101 562 499 999 999 999 999 999 999 849 722 873 884 180 48;
  • 46) 0.763 422 012 329 101 562 499 999 999 999 999 999 999 849 722 873 884 180 48 × 2 = 1 + 0.526 844 024 658 203 124 999 999 999 999 999 999 999 699 445 747 768 360 96;
  • 47) 0.526 844 024 658 203 124 999 999 999 999 999 999 999 699 445 747 768 360 96 × 2 = 1 + 0.053 688 049 316 406 249 999 999 999 999 999 999 999 398 891 495 536 721 92;
  • 48) 0.053 688 049 316 406 249 999 999 999 999 999 999 999 398 891 495 536 721 92 × 2 = 0 + 0.107 376 098 632 812 499 999 999 999 999 999 999 998 797 782 991 073 443 84;
  • 49) 0.107 376 098 632 812 499 999 999 999 999 999 999 998 797 782 991 073 443 84 × 2 = 0 + 0.214 752 197 265 624 999 999 999 999 999 999 999 997 595 565 982 146 887 68;
  • 50) 0.214 752 197 265 624 999 999 999 999 999 999 999 997 595 565 982 146 887 68 × 2 = 0 + 0.429 504 394 531 249 999 999 999 999 999 999 999 995 191 131 964 293 775 36;
  • 51) 0.429 504 394 531 249 999 999 999 999 999 999 999 995 191 131 964 293 775 36 × 2 = 0 + 0.859 008 789 062 499 999 999 999 999 999 999 999 990 382 263 928 587 550 72;
  • 52) 0.859 008 789 062 499 999 999 999 999 999 999 999 990 382 263 928 587 550 72 × 2 = 1 + 0.718 017 578 124 999 999 999 999 999 999 999 999 980 764 527 857 175 101 44;
  • 53) 0.718 017 578 124 999 999 999 999 999 999 999 999 980 764 527 857 175 101 44 × 2 = 1 + 0.436 035 156 249 999 999 999 999 999 999 999 999 961 529 055 714 350 202 88;

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).


5. 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:


0.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89(10) =

0.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2)

6. Positive number before normalization:

2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89(10) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2)

7. Normalize the binary representation of the number.

Shift the decimal mark 1 positions to the left, so that only one non zero digit remains to the left of it:


2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89(10) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2) × 20 =

1.0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11(2) × 21


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): 1

Mantissa (not normalized):
1.0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11


9. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

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

1 + 2(11-1) - 1 =

(1 + 1 023)(10) =

1 024(10)


10. 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;
  • 1 024 ÷ 2 = 512 + 0;
  • 512 ÷ 2 = 256 + 0;
  • 256 ÷ 2 = 128 + 0;
  • 128 ÷ 2 = 64 + 0;
  • 64 ÷ 2 = 32 + 0;
  • 32 ÷ 2 = 16 + 0;
  • 16 ÷ 2 = 8 + 0;
  • 8 ÷ 2 = 4 + 0;
  • 4 ÷ 2 = 2 + 0;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

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

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


Exponent (adjusted) =

1024(10) =

100 0000 0000(2)


12. 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, by removing the excess bits, from the right (if any of the excess bits is set on 1, we are losing precision...).


Mantissa (normalized) =

1. 0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11 =

0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000


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

Sign (1 bit) =
1 (a negative number)

Exponent (11 bits) =
100 0000 0000

Mantissa (52 bits) =
0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000


Decimal number -2.211 829 052 383 358 300 119 548 661 699 653 280 265 920 329 838 991 160 89 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 100 0000 0000 - 0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000

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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