0.000 020 830 729 321 671 205 134 999 154 509 660 617 365 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 660 617 365(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
0.000 020 830 729 321 671 205 134 999 154 509 660 617 365(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: 0.000 020 830 729 321 671 205 134 999 154 509 660 617 365.

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) 0.000 020 830 729 321 671 205 134 999 154 509 660 617 365 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 321 234 73;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 321 234 73 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 642 469 46;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 642 469 46 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 284 938 92;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 284 938 92 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 569 877 84;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 569 877 84 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 139 755 68;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 139 755 68 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 279 511 36;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 279 511 36 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 559 022 72;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 559 022 72 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 473 118 045 44;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 473 118 045 44 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 946 236 090 88;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 946 236 090 88 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 892 472 181 76;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 892 472 181 76 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 784 944 363 52;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 784 944 363 52 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 569 888 727 04;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 569 888 727 04 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 139 777 454 08;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 139 777 454 08 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 279 554 908 16;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 279 554 908 16 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 559 109 816 32;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 559 109 816 32 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 118 219 632 64;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 118 219 632 64 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 236 439 265 28;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 236 439 265 28 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 472 878 530 56;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 472 878 530 56 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 945 757 061 12;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 945 757 061 12 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 121 891 514 122 24;
  • 21) 0.842 602 829 200 705 595 636 873 439 121 891 514 122 24 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 243 783 028 244 48;
  • 22) 0.685 205 658 401 411 191 273 746 878 243 783 028 244 48 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 487 566 056 488 96;
  • 23) 0.370 411 316 802 822 382 547 493 756 487 566 056 488 96 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 975 132 112 977 92;
  • 24) 0.740 822 633 605 644 765 094 987 512 975 132 112 977 92 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 950 264 225 955 84;
  • 25) 0.481 645 267 211 289 530 189 975 025 950 264 225 955 84 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 900 528 451 911 68;
  • 26) 0.963 290 534 422 579 060 379 950 051 900 528 451 911 68 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 801 056 903 823 36;
  • 27) 0.926 581 068 845 158 120 759 900 103 801 056 903 823 36 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 602 113 807 646 72;
  • 28) 0.853 162 137 690 316 241 519 800 207 602 113 807 646 72 × 2 = 1 + 0.706 324 275 380 632 483 039 600 415 204 227 615 293 44;
  • 29) 0.706 324 275 380 632 483 039 600 415 204 227 615 293 44 × 2 = 1 + 0.412 648 550 761 264 966 079 200 830 408 455 230 586 88;
  • 30) 0.412 648 550 761 264 966 079 200 830 408 455 230 586 88 × 2 = 0 + 0.825 297 101 522 529 932 158 401 660 816 910 461 173 76;
  • 31) 0.825 297 101 522 529 932 158 401 660 816 910 461 173 76 × 2 = 1 + 0.650 594 203 045 059 864 316 803 321 633 820 922 347 52;
  • 32) 0.650 594 203 045 059 864 316 803 321 633 820 922 347 52 × 2 = 1 + 0.301 188 406 090 119 728 633 606 643 267 641 844 695 04;
  • 33) 0.301 188 406 090 119 728 633 606 643 267 641 844 695 04 × 2 = 0 + 0.602 376 812 180 239 457 267 213 286 535 283 689 390 08;
  • 34) 0.602 376 812 180 239 457 267 213 286 535 283 689 390 08 × 2 = 1 + 0.204 753 624 360 478 914 534 426 573 070 567 378 780 16;
  • 35) 0.204 753 624 360 478 914 534 426 573 070 567 378 780 16 × 2 = 0 + 0.409 507 248 720 957 829 068 853 146 141 134 757 560 32;
  • 36) 0.409 507 248 720 957 829 068 853 146 141 134 757 560 32 × 2 = 0 + 0.819 014 497 441 915 658 137 706 292 282 269 515 120 64;
  • 37) 0.819 014 497 441 915 658 137 706 292 282 269 515 120 64 × 2 = 1 + 0.638 028 994 883 831 316 275 412 584 564 539 030 241 28;
  • 38) 0.638 028 994 883 831 316 275 412 584 564 539 030 241 28 × 2 = 1 + 0.276 057 989 767 662 632 550 825 169 129 078 060 482 56;
  • 39) 0.276 057 989 767 662 632 550 825 169 129 078 060 482 56 × 2 = 0 + 0.552 115 979 535 325 265 101 650 338 258 156 120 965 12;
  • 40) 0.552 115 979 535 325 265 101 650 338 258 156 120 965 12 × 2 = 1 + 0.104 231 959 070 650 530 203 300 676 516 312 241 930 24;
  • 41) 0.104 231 959 070 650 530 203 300 676 516 312 241 930 24 × 2 = 0 + 0.208 463 918 141 301 060 406 601 353 032 624 483 860 48;
  • 42) 0.208 463 918 141 301 060 406 601 353 032 624 483 860 48 × 2 = 0 + 0.416 927 836 282 602 120 813 202 706 065 248 967 720 96;
  • 43) 0.416 927 836 282 602 120 813 202 706 065 248 967 720 96 × 2 = 0 + 0.833 855 672 565 204 241 626 405 412 130 497 935 441 92;
  • 44) 0.833 855 672 565 204 241 626 405 412 130 497 935 441 92 × 2 = 1 + 0.667 711 345 130 408 483 252 810 824 260 995 870 883 84;
  • 45) 0.667 711 345 130 408 483 252 810 824 260 995 870 883 84 × 2 = 1 + 0.335 422 690 260 816 966 505 621 648 521 991 741 767 68;
  • 46) 0.335 422 690 260 816 966 505 621 648 521 991 741 767 68 × 2 = 0 + 0.670 845 380 521 633 933 011 243 297 043 983 483 535 36;
  • 47) 0.670 845 380 521 633 933 011 243 297 043 983 483 535 36 × 2 = 1 + 0.341 690 761 043 267 866 022 486 594 087 966 967 070 72;
  • 48) 0.341 690 761 043 267 866 022 486 594 087 966 967 070 72 × 2 = 0 + 0.683 381 522 086 535 732 044 973 188 175 933 934 141 44;
  • 49) 0.683 381 522 086 535 732 044 973 188 175 933 934 141 44 × 2 = 1 + 0.366 763 044 173 071 464 089 946 376 351 867 868 282 88;
  • 50) 0.366 763 044 173 071 464 089 946 376 351 867 868 282 88 × 2 = 0 + 0.733 526 088 346 142 928 179 892 752 703 735 736 565 76;
  • 51) 0.733 526 088 346 142 928 179 892 752 703 735 736 565 76 × 2 = 1 + 0.467 052 176 692 285 856 359 785 505 407 471 473 131 52;
  • 52) 0.467 052 176 692 285 856 359 785 505 407 471 473 131 52 × 2 = 0 + 0.934 104 353 384 571 712 719 571 010 814 942 946 263 04;
  • 53) 0.934 104 353 384 571 712 719 571 010 814 942 946 263 04 × 2 = 1 + 0.868 208 706 769 143 425 439 142 021 629 885 892 526 08;
  • 54) 0.868 208 706 769 143 425 439 142 021 629 885 892 526 08 × 2 = 1 + 0.736 417 413 538 286 850 878 284 043 259 771 785 052 16;
  • 55) 0.736 417 413 538 286 850 878 284 043 259 771 785 052 16 × 2 = 1 + 0.472 834 827 076 573 701 756 568 086 519 543 570 104 32;
  • 56) 0.472 834 827 076 573 701 756 568 086 519 543 570 104 32 × 2 = 0 + 0.945 669 654 153 147 403 513 136 173 039 087 140 208 64;
  • 57) 0.945 669 654 153 147 403 513 136 173 039 087 140 208 64 × 2 = 1 + 0.891 339 308 306 294 807 026 272 346 078 174 280 417 28;
  • 58) 0.891 339 308 306 294 807 026 272 346 078 174 280 417 28 × 2 = 1 + 0.782 678 616 612 589 614 052 544 692 156 348 560 834 56;
  • 59) 0.782 678 616 612 589 614 052 544 692 156 348 560 834 56 × 2 = 1 + 0.565 357 233 225 179 228 105 089 384 312 697 121 669 12;
  • 60) 0.565 357 233 225 179 228 105 089 384 312 697 121 669 12 × 2 = 1 + 0.130 714 466 450 358 456 210 178 768 625 394 243 338 24;
  • 61) 0.130 714 466 450 358 456 210 178 768 625 394 243 338 24 × 2 = 0 + 0.261 428 932 900 716 912 420 357 537 250 788 486 676 48;
  • 62) 0.261 428 932 900 716 912 420 357 537 250 788 486 676 48 × 2 = 0 + 0.522 857 865 801 433 824 840 715 074 501 576 973 352 96;
  • 63) 0.522 857 865 801 433 824 840 715 074 501 576 973 352 96 × 2 = 1 + 0.045 715 731 602 867 649 681 430 149 003 153 946 705 92;
  • 64) 0.045 715 731 602 867 649 681 430 149 003 153 946 705 92 × 2 = 0 + 0.091 431 463 205 735 299 362 860 298 006 307 893 411 84;
  • 65) 0.091 431 463 205 735 299 362 860 298 006 307 893 411 84 × 2 = 0 + 0.182 862 926 411 470 598 725 720 596 012 615 786 823 68;
  • 66) 0.182 862 926 411 470 598 725 720 596 012 615 786 823 68 × 2 = 0 + 0.365 725 852 822 941 197 451 441 192 025 231 573 647 36;
  • 67) 0.365 725 852 822 941 197 451 441 192 025 231 573 647 36 × 2 = 0 + 0.731 451 705 645 882 394 902 882 384 050 463 147 294 72;
  • 68) 0.731 451 705 645 882 394 902 882 384 050 463 147 294 72 × 2 = 1 + 0.462 903 411 291 764 789 805 764 768 100 926 294 589 44;

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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 365(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:

0.000 020 830 729 321 671 205 134 999 154 509 660 617 365(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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 365(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 0.000 020 830 729 321 671 205 134 999 154 509 660 617 365 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 0.000 020 830 729 321 671 205 134 999 154 509 660 617 448 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: My Manager Only Says “We” When Referring to “My Work”. Gemini Notebook YouTube Video of 11.13 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