0.000 020 830 729 321 671 205 134 999 154 510 05 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 510 05(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
0.000 020 830 729 321 671 205 134 999 154 510 05(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: 0.000 020 830 729 321 671 205 134 999 154 510 05.

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) 0.000 020 830 729 321 671 205 134 999 154 510 05 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 020 1;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 020 1 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 040 2;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 040 2 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 080 4;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 080 4 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 160 8;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 160 8 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 321 6;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 321 6 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 643 2;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 643 2 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 286 4;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 286 4 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 572 8;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 572 8 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 109 145 6;
  • 10) 0.010 665 333 412 695 657 029 119 567 109 145 6 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 218 291 2;
  • 11) 0.021 330 666 825 391 314 058 239 134 218 291 2 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 436 582 4;
  • 12) 0.042 661 333 650 782 628 116 478 268 436 582 4 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 873 164 8;
  • 13) 0.085 322 667 301 565 256 232 956 536 873 164 8 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 746 329 6;
  • 14) 0.170 645 334 603 130 512 465 913 073 746 329 6 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 492 659 2;
  • 15) 0.341 290 669 206 261 024 931 826 147 492 659 2 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 985 318 4;
  • 16) 0.682 581 338 412 522 049 863 652 294 985 318 4 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 970 636 8;
  • 17) 0.365 162 676 825 044 099 727 304 589 970 636 8 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 941 273 6;
  • 18) 0.730 325 353 650 088 199 454 609 179 941 273 6 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 882 547 2;
  • 19) 0.460 650 707 300 176 398 909 218 359 882 547 2 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 765 094 4;
  • 20) 0.921 301 414 600 352 797 818 436 719 765 094 4 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 530 188 8;
  • 21) 0.842 602 829 200 705 595 636 873 439 530 188 8 × 2 = 1 + 0.685 205 658 401 411 191 273 746 879 060 377 6;
  • 22) 0.685 205 658 401 411 191 273 746 879 060 377 6 × 2 = 1 + 0.370 411 316 802 822 382 547 493 758 120 755 2;
  • 23) 0.370 411 316 802 822 382 547 493 758 120 755 2 × 2 = 0 + 0.740 822 633 605 644 765 094 987 516 241 510 4;
  • 24) 0.740 822 633 605 644 765 094 987 516 241 510 4 × 2 = 1 + 0.481 645 267 211 289 530 189 975 032 483 020 8;
  • 25) 0.481 645 267 211 289 530 189 975 032 483 020 8 × 2 = 0 + 0.963 290 534 422 579 060 379 950 064 966 041 6;
  • 26) 0.963 290 534 422 579 060 379 950 064 966 041 6 × 2 = 1 + 0.926 581 068 845 158 120 759 900 129 932 083 2;
  • 27) 0.926 581 068 845 158 120 759 900 129 932 083 2 × 2 = 1 + 0.853 162 137 690 316 241 519 800 259 864 166 4;
  • 28) 0.853 162 137 690 316 241 519 800 259 864 166 4 × 2 = 1 + 0.706 324 275 380 632 483 039 600 519 728 332 8;
  • 29) 0.706 324 275 380 632 483 039 600 519 728 332 8 × 2 = 1 + 0.412 648 550 761 264 966 079 201 039 456 665 6;
  • 30) 0.412 648 550 761 264 966 079 201 039 456 665 6 × 2 = 0 + 0.825 297 101 522 529 932 158 402 078 913 331 2;
  • 31) 0.825 297 101 522 529 932 158 402 078 913 331 2 × 2 = 1 + 0.650 594 203 045 059 864 316 804 157 826 662 4;
  • 32) 0.650 594 203 045 059 864 316 804 157 826 662 4 × 2 = 1 + 0.301 188 406 090 119 728 633 608 315 653 324 8;
  • 33) 0.301 188 406 090 119 728 633 608 315 653 324 8 × 2 = 0 + 0.602 376 812 180 239 457 267 216 631 306 649 6;
  • 34) 0.602 376 812 180 239 457 267 216 631 306 649 6 × 2 = 1 + 0.204 753 624 360 478 914 534 433 262 613 299 2;
  • 35) 0.204 753 624 360 478 914 534 433 262 613 299 2 × 2 = 0 + 0.409 507 248 720 957 829 068 866 525 226 598 4;
  • 36) 0.409 507 248 720 957 829 068 866 525 226 598 4 × 2 = 0 + 0.819 014 497 441 915 658 137 733 050 453 196 8;
  • 37) 0.819 014 497 441 915 658 137 733 050 453 196 8 × 2 = 1 + 0.638 028 994 883 831 316 275 466 100 906 393 6;
  • 38) 0.638 028 994 883 831 316 275 466 100 906 393 6 × 2 = 1 + 0.276 057 989 767 662 632 550 932 201 812 787 2;
  • 39) 0.276 057 989 767 662 632 550 932 201 812 787 2 × 2 = 0 + 0.552 115 979 535 325 265 101 864 403 625 574 4;
  • 40) 0.552 115 979 535 325 265 101 864 403 625 574 4 × 2 = 1 + 0.104 231 959 070 650 530 203 728 807 251 148 8;
  • 41) 0.104 231 959 070 650 530 203 728 807 251 148 8 × 2 = 0 + 0.208 463 918 141 301 060 407 457 614 502 297 6;
  • 42) 0.208 463 918 141 301 060 407 457 614 502 297 6 × 2 = 0 + 0.416 927 836 282 602 120 814 915 229 004 595 2;
  • 43) 0.416 927 836 282 602 120 814 915 229 004 595 2 × 2 = 0 + 0.833 855 672 565 204 241 629 830 458 009 190 4;
  • 44) 0.833 855 672 565 204 241 629 830 458 009 190 4 × 2 = 1 + 0.667 711 345 130 408 483 259 660 916 018 380 8;
  • 45) 0.667 711 345 130 408 483 259 660 916 018 380 8 × 2 = 1 + 0.335 422 690 260 816 966 519 321 832 036 761 6;
  • 46) 0.335 422 690 260 816 966 519 321 832 036 761 6 × 2 = 0 + 0.670 845 380 521 633 933 038 643 664 073 523 2;
  • 47) 0.670 845 380 521 633 933 038 643 664 073 523 2 × 2 = 1 + 0.341 690 761 043 267 866 077 287 328 147 046 4;
  • 48) 0.341 690 761 043 267 866 077 287 328 147 046 4 × 2 = 0 + 0.683 381 522 086 535 732 154 574 656 294 092 8;
  • 49) 0.683 381 522 086 535 732 154 574 656 294 092 8 × 2 = 1 + 0.366 763 044 173 071 464 309 149 312 588 185 6;
  • 50) 0.366 763 044 173 071 464 309 149 312 588 185 6 × 2 = 0 + 0.733 526 088 346 142 928 618 298 625 176 371 2;
  • 51) 0.733 526 088 346 142 928 618 298 625 176 371 2 × 2 = 1 + 0.467 052 176 692 285 857 236 597 250 352 742 4;
  • 52) 0.467 052 176 692 285 857 236 597 250 352 742 4 × 2 = 0 + 0.934 104 353 384 571 714 473 194 500 705 484 8;
  • 53) 0.934 104 353 384 571 714 473 194 500 705 484 8 × 2 = 1 + 0.868 208 706 769 143 428 946 389 001 410 969 6;
  • 54) 0.868 208 706 769 143 428 946 389 001 410 969 6 × 2 = 1 + 0.736 417 413 538 286 857 892 778 002 821 939 2;
  • 55) 0.736 417 413 538 286 857 892 778 002 821 939 2 × 2 = 1 + 0.472 834 827 076 573 715 785 556 005 643 878 4;
  • 56) 0.472 834 827 076 573 715 785 556 005 643 878 4 × 2 = 0 + 0.945 669 654 153 147 431 571 112 011 287 756 8;
  • 57) 0.945 669 654 153 147 431 571 112 011 287 756 8 × 2 = 1 + 0.891 339 308 306 294 863 142 224 022 575 513 6;
  • 58) 0.891 339 308 306 294 863 142 224 022 575 513 6 × 2 = 1 + 0.782 678 616 612 589 726 284 448 045 151 027 2;
  • 59) 0.782 678 616 612 589 726 284 448 045 151 027 2 × 2 = 1 + 0.565 357 233 225 179 452 568 896 090 302 054 4;
  • 60) 0.565 357 233 225 179 452 568 896 090 302 054 4 × 2 = 1 + 0.130 714 466 450 358 905 137 792 180 604 108 8;
  • 61) 0.130 714 466 450 358 905 137 792 180 604 108 8 × 2 = 0 + 0.261 428 932 900 717 810 275 584 361 208 217 6;
  • 62) 0.261 428 932 900 717 810 275 584 361 208 217 6 × 2 = 0 + 0.522 857 865 801 435 620 551 168 722 416 435 2;
  • 63) 0.522 857 865 801 435 620 551 168 722 416 435 2 × 2 = 1 + 0.045 715 731 602 871 241 102 337 444 832 870 4;
  • 64) 0.045 715 731 602 871 241 102 337 444 832 870 4 × 2 = 0 + 0.091 431 463 205 742 482 204 674 889 665 740 8;
  • 65) 0.091 431 463 205 742 482 204 674 889 665 740 8 × 2 = 0 + 0.182 862 926 411 484 964 409 349 779 331 481 6;
  • 66) 0.182 862 926 411 484 964 409 349 779 331 481 6 × 2 = 0 + 0.365 725 852 822 969 928 818 699 558 662 963 2;
  • 67) 0.365 725 852 822 969 928 818 699 558 662 963 2 × 2 = 0 + 0.731 451 705 645 939 857 637 399 117 325 926 4;
  • 68) 0.731 451 705 645 939 857 637 399 117 325 926 4 × 2 = 1 + 0.462 903 411 291 879 715 274 798 234 651 852 8;

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:


0.000 020 830 729 321 671 205 134 999 154 510 05(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:

0.000 020 830 729 321 671 205 134 999 154 510 05(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:


0.000 020 830 729 321 671 205 134 999 154 510 05(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 0.000 020 830 729 321 671 205 134 999 154 510 05 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

Share

» Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 5 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 08, 2026 [August]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: August - by our visitors

» Improve your social skills: Your Greatest Competitor, Your Most Powerful Ally. Gemini Notebook YouTube Video of 7.54 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