0.000 020 830 729 321 671 205 134 999 154 509 659 47 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 659 47(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
0.000 020 830 729 321 671 205 134 999 154 509 659 47(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: 0.000 020 830 729 321 671 205 134 999 154 509 659 47.

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) 0.000 020 830 729 321 671 205 134 999 154 509 659 47 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 318 94;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 318 94 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 637 88;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 637 88 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 275 76;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 275 76 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 551 52;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 551 52 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 103 04;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 103 04 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 206 08;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 206 08 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 412 16;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 412 16 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 472 824 32;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 472 824 32 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 945 648 64;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 945 648 64 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 891 297 28;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 891 297 28 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 782 594 56;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 782 594 56 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 565 189 12;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 565 189 12 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 130 378 24;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 130 378 24 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 260 756 48;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 260 756 48 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 521 512 96;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 521 512 96 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 043 025 92;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 043 025 92 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 086 051 84;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 086 051 84 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 172 103 68;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 172 103 68 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 344 207 36;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 344 207 36 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 120 688 414 72;
  • 21) 0.842 602 829 200 705 595 636 873 439 120 688 414 72 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 241 376 829 44;
  • 22) 0.685 205 658 401 411 191 273 746 878 241 376 829 44 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 482 753 658 88;
  • 23) 0.370 411 316 802 822 382 547 493 756 482 753 658 88 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 965 507 317 76;
  • 24) 0.740 822 633 605 644 765 094 987 512 965 507 317 76 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 931 014 635 52;
  • 25) 0.481 645 267 211 289 530 189 975 025 931 014 635 52 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 862 029 271 04;
  • 26) 0.963 290 534 422 579 060 379 950 051 862 029 271 04 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 724 058 542 08;
  • 27) 0.926 581 068 845 158 120 759 900 103 724 058 542 08 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 448 117 084 16;
  • 28) 0.853 162 137 690 316 241 519 800 207 448 117 084 16 × 2 = 1 + 0.706 324 275 380 632 483 039 600 414 896 234 168 32;
  • 29) 0.706 324 275 380 632 483 039 600 414 896 234 168 32 × 2 = 1 + 0.412 648 550 761 264 966 079 200 829 792 468 336 64;
  • 30) 0.412 648 550 761 264 966 079 200 829 792 468 336 64 × 2 = 0 + 0.825 297 101 522 529 932 158 401 659 584 936 673 28;
  • 31) 0.825 297 101 522 529 932 158 401 659 584 936 673 28 × 2 = 1 + 0.650 594 203 045 059 864 316 803 319 169 873 346 56;
  • 32) 0.650 594 203 045 059 864 316 803 319 169 873 346 56 × 2 = 1 + 0.301 188 406 090 119 728 633 606 638 339 746 693 12;
  • 33) 0.301 188 406 090 119 728 633 606 638 339 746 693 12 × 2 = 0 + 0.602 376 812 180 239 457 267 213 276 679 493 386 24;
  • 34) 0.602 376 812 180 239 457 267 213 276 679 493 386 24 × 2 = 1 + 0.204 753 624 360 478 914 534 426 553 358 986 772 48;
  • 35) 0.204 753 624 360 478 914 534 426 553 358 986 772 48 × 2 = 0 + 0.409 507 248 720 957 829 068 853 106 717 973 544 96;
  • 36) 0.409 507 248 720 957 829 068 853 106 717 973 544 96 × 2 = 0 + 0.819 014 497 441 915 658 137 706 213 435 947 089 92;
  • 37) 0.819 014 497 441 915 658 137 706 213 435 947 089 92 × 2 = 1 + 0.638 028 994 883 831 316 275 412 426 871 894 179 84;
  • 38) 0.638 028 994 883 831 316 275 412 426 871 894 179 84 × 2 = 1 + 0.276 057 989 767 662 632 550 824 853 743 788 359 68;
  • 39) 0.276 057 989 767 662 632 550 824 853 743 788 359 68 × 2 = 0 + 0.552 115 979 535 325 265 101 649 707 487 576 719 36;
  • 40) 0.552 115 979 535 325 265 101 649 707 487 576 719 36 × 2 = 1 + 0.104 231 959 070 650 530 203 299 414 975 153 438 72;
  • 41) 0.104 231 959 070 650 530 203 299 414 975 153 438 72 × 2 = 0 + 0.208 463 918 141 301 060 406 598 829 950 306 877 44;
  • 42) 0.208 463 918 141 301 060 406 598 829 950 306 877 44 × 2 = 0 + 0.416 927 836 282 602 120 813 197 659 900 613 754 88;
  • 43) 0.416 927 836 282 602 120 813 197 659 900 613 754 88 × 2 = 0 + 0.833 855 672 565 204 241 626 395 319 801 227 509 76;
  • 44) 0.833 855 672 565 204 241 626 395 319 801 227 509 76 × 2 = 1 + 0.667 711 345 130 408 483 252 790 639 602 455 019 52;
  • 45) 0.667 711 345 130 408 483 252 790 639 602 455 019 52 × 2 = 1 + 0.335 422 690 260 816 966 505 581 279 204 910 039 04;
  • 46) 0.335 422 690 260 816 966 505 581 279 204 910 039 04 × 2 = 0 + 0.670 845 380 521 633 933 011 162 558 409 820 078 08;
  • 47) 0.670 845 380 521 633 933 011 162 558 409 820 078 08 × 2 = 1 + 0.341 690 761 043 267 866 022 325 116 819 640 156 16;
  • 48) 0.341 690 761 043 267 866 022 325 116 819 640 156 16 × 2 = 0 + 0.683 381 522 086 535 732 044 650 233 639 280 312 32;
  • 49) 0.683 381 522 086 535 732 044 650 233 639 280 312 32 × 2 = 1 + 0.366 763 044 173 071 464 089 300 467 278 560 624 64;
  • 50) 0.366 763 044 173 071 464 089 300 467 278 560 624 64 × 2 = 0 + 0.733 526 088 346 142 928 178 600 934 557 121 249 28;
  • 51) 0.733 526 088 346 142 928 178 600 934 557 121 249 28 × 2 = 1 + 0.467 052 176 692 285 856 357 201 869 114 242 498 56;
  • 52) 0.467 052 176 692 285 856 357 201 869 114 242 498 56 × 2 = 0 + 0.934 104 353 384 571 712 714 403 738 228 484 997 12;
  • 53) 0.934 104 353 384 571 712 714 403 738 228 484 997 12 × 2 = 1 + 0.868 208 706 769 143 425 428 807 476 456 969 994 24;
  • 54) 0.868 208 706 769 143 425 428 807 476 456 969 994 24 × 2 = 1 + 0.736 417 413 538 286 850 857 614 952 913 939 988 48;
  • 55) 0.736 417 413 538 286 850 857 614 952 913 939 988 48 × 2 = 1 + 0.472 834 827 076 573 701 715 229 905 827 879 976 96;
  • 56) 0.472 834 827 076 573 701 715 229 905 827 879 976 96 × 2 = 0 + 0.945 669 654 153 147 403 430 459 811 655 759 953 92;
  • 57) 0.945 669 654 153 147 403 430 459 811 655 759 953 92 × 2 = 1 + 0.891 339 308 306 294 806 860 919 623 311 519 907 84;
  • 58) 0.891 339 308 306 294 806 860 919 623 311 519 907 84 × 2 = 1 + 0.782 678 616 612 589 613 721 839 246 623 039 815 68;
  • 59) 0.782 678 616 612 589 613 721 839 246 623 039 815 68 × 2 = 1 + 0.565 357 233 225 179 227 443 678 493 246 079 631 36;
  • 60) 0.565 357 233 225 179 227 443 678 493 246 079 631 36 × 2 = 1 + 0.130 714 466 450 358 454 887 356 986 492 159 262 72;
  • 61) 0.130 714 466 450 358 454 887 356 986 492 159 262 72 × 2 = 0 + 0.261 428 932 900 716 909 774 713 972 984 318 525 44;
  • 62) 0.261 428 932 900 716 909 774 713 972 984 318 525 44 × 2 = 0 + 0.522 857 865 801 433 819 549 427 945 968 637 050 88;
  • 63) 0.522 857 865 801 433 819 549 427 945 968 637 050 88 × 2 = 1 + 0.045 715 731 602 867 639 098 855 891 937 274 101 76;
  • 64) 0.045 715 731 602 867 639 098 855 891 937 274 101 76 × 2 = 0 + 0.091 431 463 205 735 278 197 711 783 874 548 203 52;
  • 65) 0.091 431 463 205 735 278 197 711 783 874 548 203 52 × 2 = 0 + 0.182 862 926 411 470 556 395 423 567 749 096 407 04;
  • 66) 0.182 862 926 411 470 556 395 423 567 749 096 407 04 × 2 = 0 + 0.365 725 852 822 941 112 790 847 135 498 192 814 08;
  • 67) 0.365 725 852 822 941 112 790 847 135 498 192 814 08 × 2 = 0 + 0.731 451 705 645 882 225 581 694 270 996 385 628 16;
  • 68) 0.731 451 705 645 882 225 581 694 270 996 385 628 16 × 2 = 1 + 0.462 903 411 291 764 451 163 388 541 992 771 256 32;

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:


0.000 020 830 729 321 671 205 134 999 154 509 659 47(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:

0.000 020 830 729 321 671 205 134 999 154 509 659 47(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:


0.000 020 830 729 321 671 205 134 999 154 509 659 47(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 0.000 020 830 729 321 671 205 134 999 154 509 659 47 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


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