0.000 020 830 729 321 671 205 134 999 154 509 644 6 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 644 6(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
0.000 020 830 729 321 671 205 134 999 154 509 644 6(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: 0.000 020 830 729 321 671 205 134 999 154 509 644 6.

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) 0.000 020 830 729 321 671 205 134 999 154 509 644 6 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 289 2;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 289 2 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 578 4;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 578 4 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 156 8;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 156 8 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 313 6;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 313 6 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 308 627 2;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 308 627 2 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 617 254 4;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 617 254 4 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 234 508 8;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 234 508 8 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 469 017 6;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 469 017 6 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 938 035 2;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 938 035 2 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 876 070 4;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 876 070 4 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 752 140 8;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 752 140 8 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 504 281 6;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 504 281 6 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 008 563 2;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 008 563 2 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 017 126 4;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 017 126 4 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 034 252 8;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 034 252 8 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 944 068 505 6;
  • 17) 0.365 162 676 825 044 099 727 304 589 944 068 505 6 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 888 137 011 2;
  • 18) 0.730 325 353 650 088 199 454 609 179 888 137 011 2 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 776 274 022 4;
  • 19) 0.460 650 707 300 176 398 909 218 359 776 274 022 4 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 552 548 044 8;
  • 20) 0.921 301 414 600 352 797 818 436 719 552 548 044 8 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 105 096 089 6;
  • 21) 0.842 602 829 200 705 595 636 873 439 105 096 089 6 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 210 192 179 2;
  • 22) 0.685 205 658 401 411 191 273 746 878 210 192 179 2 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 420 384 358 4;
  • 23) 0.370 411 316 802 822 382 547 493 756 420 384 358 4 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 840 768 716 8;
  • 24) 0.740 822 633 605 644 765 094 987 512 840 768 716 8 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 681 537 433 6;
  • 25) 0.481 645 267 211 289 530 189 975 025 681 537 433 6 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 363 074 867 2;
  • 26) 0.963 290 534 422 579 060 379 950 051 363 074 867 2 × 2 = 1 + 0.926 581 068 845 158 120 759 900 102 726 149 734 4;
  • 27) 0.926 581 068 845 158 120 759 900 102 726 149 734 4 × 2 = 1 + 0.853 162 137 690 316 241 519 800 205 452 299 468 8;
  • 28) 0.853 162 137 690 316 241 519 800 205 452 299 468 8 × 2 = 1 + 0.706 324 275 380 632 483 039 600 410 904 598 937 6;
  • 29) 0.706 324 275 380 632 483 039 600 410 904 598 937 6 × 2 = 1 + 0.412 648 550 761 264 966 079 200 821 809 197 875 2;
  • 30) 0.412 648 550 761 264 966 079 200 821 809 197 875 2 × 2 = 0 + 0.825 297 101 522 529 932 158 401 643 618 395 750 4;
  • 31) 0.825 297 101 522 529 932 158 401 643 618 395 750 4 × 2 = 1 + 0.650 594 203 045 059 864 316 803 287 236 791 500 8;
  • 32) 0.650 594 203 045 059 864 316 803 287 236 791 500 8 × 2 = 1 + 0.301 188 406 090 119 728 633 606 574 473 583 001 6;
  • 33) 0.301 188 406 090 119 728 633 606 574 473 583 001 6 × 2 = 0 + 0.602 376 812 180 239 457 267 213 148 947 166 003 2;
  • 34) 0.602 376 812 180 239 457 267 213 148 947 166 003 2 × 2 = 1 + 0.204 753 624 360 478 914 534 426 297 894 332 006 4;
  • 35) 0.204 753 624 360 478 914 534 426 297 894 332 006 4 × 2 = 0 + 0.409 507 248 720 957 829 068 852 595 788 664 012 8;
  • 36) 0.409 507 248 720 957 829 068 852 595 788 664 012 8 × 2 = 0 + 0.819 014 497 441 915 658 137 705 191 577 328 025 6;
  • 37) 0.819 014 497 441 915 658 137 705 191 577 328 025 6 × 2 = 1 + 0.638 028 994 883 831 316 275 410 383 154 656 051 2;
  • 38) 0.638 028 994 883 831 316 275 410 383 154 656 051 2 × 2 = 1 + 0.276 057 989 767 662 632 550 820 766 309 312 102 4;
  • 39) 0.276 057 989 767 662 632 550 820 766 309 312 102 4 × 2 = 0 + 0.552 115 979 535 325 265 101 641 532 618 624 204 8;
  • 40) 0.552 115 979 535 325 265 101 641 532 618 624 204 8 × 2 = 1 + 0.104 231 959 070 650 530 203 283 065 237 248 409 6;
  • 41) 0.104 231 959 070 650 530 203 283 065 237 248 409 6 × 2 = 0 + 0.208 463 918 141 301 060 406 566 130 474 496 819 2;
  • 42) 0.208 463 918 141 301 060 406 566 130 474 496 819 2 × 2 = 0 + 0.416 927 836 282 602 120 813 132 260 948 993 638 4;
  • 43) 0.416 927 836 282 602 120 813 132 260 948 993 638 4 × 2 = 0 + 0.833 855 672 565 204 241 626 264 521 897 987 276 8;
  • 44) 0.833 855 672 565 204 241 626 264 521 897 987 276 8 × 2 = 1 + 0.667 711 345 130 408 483 252 529 043 795 974 553 6;
  • 45) 0.667 711 345 130 408 483 252 529 043 795 974 553 6 × 2 = 1 + 0.335 422 690 260 816 966 505 058 087 591 949 107 2;
  • 46) 0.335 422 690 260 816 966 505 058 087 591 949 107 2 × 2 = 0 + 0.670 845 380 521 633 933 010 116 175 183 898 214 4;
  • 47) 0.670 845 380 521 633 933 010 116 175 183 898 214 4 × 2 = 1 + 0.341 690 761 043 267 866 020 232 350 367 796 428 8;
  • 48) 0.341 690 761 043 267 866 020 232 350 367 796 428 8 × 2 = 0 + 0.683 381 522 086 535 732 040 464 700 735 592 857 6;
  • 49) 0.683 381 522 086 535 732 040 464 700 735 592 857 6 × 2 = 1 + 0.366 763 044 173 071 464 080 929 401 471 185 715 2;
  • 50) 0.366 763 044 173 071 464 080 929 401 471 185 715 2 × 2 = 0 + 0.733 526 088 346 142 928 161 858 802 942 371 430 4;
  • 51) 0.733 526 088 346 142 928 161 858 802 942 371 430 4 × 2 = 1 + 0.467 052 176 692 285 856 323 717 605 884 742 860 8;
  • 52) 0.467 052 176 692 285 856 323 717 605 884 742 860 8 × 2 = 0 + 0.934 104 353 384 571 712 647 435 211 769 485 721 6;
  • 53) 0.934 104 353 384 571 712 647 435 211 769 485 721 6 × 2 = 1 + 0.868 208 706 769 143 425 294 870 423 538 971 443 2;
  • 54) 0.868 208 706 769 143 425 294 870 423 538 971 443 2 × 2 = 1 + 0.736 417 413 538 286 850 589 740 847 077 942 886 4;
  • 55) 0.736 417 413 538 286 850 589 740 847 077 942 886 4 × 2 = 1 + 0.472 834 827 076 573 701 179 481 694 155 885 772 8;
  • 56) 0.472 834 827 076 573 701 179 481 694 155 885 772 8 × 2 = 0 + 0.945 669 654 153 147 402 358 963 388 311 771 545 6;
  • 57) 0.945 669 654 153 147 402 358 963 388 311 771 545 6 × 2 = 1 + 0.891 339 308 306 294 804 717 926 776 623 543 091 2;
  • 58) 0.891 339 308 306 294 804 717 926 776 623 543 091 2 × 2 = 1 + 0.782 678 616 612 589 609 435 853 553 247 086 182 4;
  • 59) 0.782 678 616 612 589 609 435 853 553 247 086 182 4 × 2 = 1 + 0.565 357 233 225 179 218 871 707 106 494 172 364 8;
  • 60) 0.565 357 233 225 179 218 871 707 106 494 172 364 8 × 2 = 1 + 0.130 714 466 450 358 437 743 414 212 988 344 729 6;
  • 61) 0.130 714 466 450 358 437 743 414 212 988 344 729 6 × 2 = 0 + 0.261 428 932 900 716 875 486 828 425 976 689 459 2;
  • 62) 0.261 428 932 900 716 875 486 828 425 976 689 459 2 × 2 = 0 + 0.522 857 865 801 433 750 973 656 851 953 378 918 4;
  • 63) 0.522 857 865 801 433 750 973 656 851 953 378 918 4 × 2 = 1 + 0.045 715 731 602 867 501 947 313 703 906 757 836 8;
  • 64) 0.045 715 731 602 867 501 947 313 703 906 757 836 8 × 2 = 0 + 0.091 431 463 205 735 003 894 627 407 813 515 673 6;
  • 65) 0.091 431 463 205 735 003 894 627 407 813 515 673 6 × 2 = 0 + 0.182 862 926 411 470 007 789 254 815 627 031 347 2;
  • 66) 0.182 862 926 411 470 007 789 254 815 627 031 347 2 × 2 = 0 + 0.365 725 852 822 940 015 578 509 631 254 062 694 4;
  • 67) 0.365 725 852 822 940 015 578 509 631 254 062 694 4 × 2 = 0 + 0.731 451 705 645 880 031 157 019 262 508 125 388 8;
  • 68) 0.731 451 705 645 880 031 157 019 262 508 125 388 8 × 2 = 1 + 0.462 903 411 291 760 062 314 038 525 016 250 777 6;

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:


0.000 020 830 729 321 671 205 134 999 154 509 644 6(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:

0.000 020 830 729 321 671 205 134 999 154 509 644 6(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:


0.000 020 830 729 321 671 205 134 999 154 509 644 6(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 0.000 020 830 729 321 671 205 134 999 154 509 644 6 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

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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