0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504(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
0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504(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: 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504.

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) 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504 × 2 = 0 + 0.000 041 661 458 643 342 410 269 998 309 019 321 234 619 008;
  • 2) 0.000 041 661 458 643 342 410 269 998 309 019 321 234 619 008 × 2 = 0 + 0.000 083 322 917 286 684 820 539 996 618 038 642 469 238 016;
  • 3) 0.000 083 322 917 286 684 820 539 996 618 038 642 469 238 016 × 2 = 0 + 0.000 166 645 834 573 369 641 079 993 236 077 284 938 476 032;
  • 4) 0.000 166 645 834 573 369 641 079 993 236 077 284 938 476 032 × 2 = 0 + 0.000 333 291 669 146 739 282 159 986 472 154 569 876 952 064;
  • 5) 0.000 333 291 669 146 739 282 159 986 472 154 569 876 952 064 × 2 = 0 + 0.000 666 583 338 293 478 564 319 972 944 309 139 753 904 128;
  • 6) 0.000 666 583 338 293 478 564 319 972 944 309 139 753 904 128 × 2 = 0 + 0.001 333 166 676 586 957 128 639 945 888 618 279 507 808 256;
  • 7) 0.001 333 166 676 586 957 128 639 945 888 618 279 507 808 256 × 2 = 0 + 0.002 666 333 353 173 914 257 279 891 777 236 559 015 616 512;
  • 8) 0.002 666 333 353 173 914 257 279 891 777 236 559 015 616 512 × 2 = 0 + 0.005 332 666 706 347 828 514 559 783 554 473 118 031 233 024;
  • 9) 0.005 332 666 706 347 828 514 559 783 554 473 118 031 233 024 × 2 = 0 + 0.010 665 333 412 695 657 029 119 567 108 946 236 062 466 048;
  • 10) 0.010 665 333 412 695 657 029 119 567 108 946 236 062 466 048 × 2 = 0 + 0.021 330 666 825 391 314 058 239 134 217 892 472 124 932 096;
  • 11) 0.021 330 666 825 391 314 058 239 134 217 892 472 124 932 096 × 2 = 0 + 0.042 661 333 650 782 628 116 478 268 435 784 944 249 864 192;
  • 12) 0.042 661 333 650 782 628 116 478 268 435 784 944 249 864 192 × 2 = 0 + 0.085 322 667 301 565 256 232 956 536 871 569 888 499 728 384;
  • 13) 0.085 322 667 301 565 256 232 956 536 871 569 888 499 728 384 × 2 = 0 + 0.170 645 334 603 130 512 465 913 073 743 139 776 999 456 768;
  • 14) 0.170 645 334 603 130 512 465 913 073 743 139 776 999 456 768 × 2 = 0 + 0.341 290 669 206 261 024 931 826 147 486 279 553 998 913 536;
  • 15) 0.341 290 669 206 261 024 931 826 147 486 279 553 998 913 536 × 2 = 0 + 0.682 581 338 412 522 049 863 652 294 972 559 107 997 827 072;
  • 16) 0.682 581 338 412 522 049 863 652 294 972 559 107 997 827 072 × 2 = 1 + 0.365 162 676 825 044 099 727 304 589 945 118 215 995 654 144;
  • 17) 0.365 162 676 825 044 099 727 304 589 945 118 215 995 654 144 × 2 = 0 + 0.730 325 353 650 088 199 454 609 179 890 236 431 991 308 288;
  • 18) 0.730 325 353 650 088 199 454 609 179 890 236 431 991 308 288 × 2 = 1 + 0.460 650 707 300 176 398 909 218 359 780 472 863 982 616 576;
  • 19) 0.460 650 707 300 176 398 909 218 359 780 472 863 982 616 576 × 2 = 0 + 0.921 301 414 600 352 797 818 436 719 560 945 727 965 233 152;
  • 20) 0.921 301 414 600 352 797 818 436 719 560 945 727 965 233 152 × 2 = 1 + 0.842 602 829 200 705 595 636 873 439 121 891 455 930 466 304;
  • 21) 0.842 602 829 200 705 595 636 873 439 121 891 455 930 466 304 × 2 = 1 + 0.685 205 658 401 411 191 273 746 878 243 782 911 860 932 608;
  • 22) 0.685 205 658 401 411 191 273 746 878 243 782 911 860 932 608 × 2 = 1 + 0.370 411 316 802 822 382 547 493 756 487 565 823 721 865 216;
  • 23) 0.370 411 316 802 822 382 547 493 756 487 565 823 721 865 216 × 2 = 0 + 0.740 822 633 605 644 765 094 987 512 975 131 647 443 730 432;
  • 24) 0.740 822 633 605 644 765 094 987 512 975 131 647 443 730 432 × 2 = 1 + 0.481 645 267 211 289 530 189 975 025 950 263 294 887 460 864;
  • 25) 0.481 645 267 211 289 530 189 975 025 950 263 294 887 460 864 × 2 = 0 + 0.963 290 534 422 579 060 379 950 051 900 526 589 774 921 728;
  • 26) 0.963 290 534 422 579 060 379 950 051 900 526 589 774 921 728 × 2 = 1 + 0.926 581 068 845 158 120 759 900 103 801 053 179 549 843 456;
  • 27) 0.926 581 068 845 158 120 759 900 103 801 053 179 549 843 456 × 2 = 1 + 0.853 162 137 690 316 241 519 800 207 602 106 359 099 686 912;
  • 28) 0.853 162 137 690 316 241 519 800 207 602 106 359 099 686 912 × 2 = 1 + 0.706 324 275 380 632 483 039 600 415 204 212 718 199 373 824;
  • 29) 0.706 324 275 380 632 483 039 600 415 204 212 718 199 373 824 × 2 = 1 + 0.412 648 550 761 264 966 079 200 830 408 425 436 398 747 648;
  • 30) 0.412 648 550 761 264 966 079 200 830 408 425 436 398 747 648 × 2 = 0 + 0.825 297 101 522 529 932 158 401 660 816 850 872 797 495 296;
  • 31) 0.825 297 101 522 529 932 158 401 660 816 850 872 797 495 296 × 2 = 1 + 0.650 594 203 045 059 864 316 803 321 633 701 745 594 990 592;
  • 32) 0.650 594 203 045 059 864 316 803 321 633 701 745 594 990 592 × 2 = 1 + 0.301 188 406 090 119 728 633 606 643 267 403 491 189 981 184;
  • 33) 0.301 188 406 090 119 728 633 606 643 267 403 491 189 981 184 × 2 = 0 + 0.602 376 812 180 239 457 267 213 286 534 806 982 379 962 368;
  • 34) 0.602 376 812 180 239 457 267 213 286 534 806 982 379 962 368 × 2 = 1 + 0.204 753 624 360 478 914 534 426 573 069 613 964 759 924 736;
  • 35) 0.204 753 624 360 478 914 534 426 573 069 613 964 759 924 736 × 2 = 0 + 0.409 507 248 720 957 829 068 853 146 139 227 929 519 849 472;
  • 36) 0.409 507 248 720 957 829 068 853 146 139 227 929 519 849 472 × 2 = 0 + 0.819 014 497 441 915 658 137 706 292 278 455 859 039 698 944;
  • 37) 0.819 014 497 441 915 658 137 706 292 278 455 859 039 698 944 × 2 = 1 + 0.638 028 994 883 831 316 275 412 584 556 911 718 079 397 888;
  • 38) 0.638 028 994 883 831 316 275 412 584 556 911 718 079 397 888 × 2 = 1 + 0.276 057 989 767 662 632 550 825 169 113 823 436 158 795 776;
  • 39) 0.276 057 989 767 662 632 550 825 169 113 823 436 158 795 776 × 2 = 0 + 0.552 115 979 535 325 265 101 650 338 227 646 872 317 591 552;
  • 40) 0.552 115 979 535 325 265 101 650 338 227 646 872 317 591 552 × 2 = 1 + 0.104 231 959 070 650 530 203 300 676 455 293 744 635 183 104;
  • 41) 0.104 231 959 070 650 530 203 300 676 455 293 744 635 183 104 × 2 = 0 + 0.208 463 918 141 301 060 406 601 352 910 587 489 270 366 208;
  • 42) 0.208 463 918 141 301 060 406 601 352 910 587 489 270 366 208 × 2 = 0 + 0.416 927 836 282 602 120 813 202 705 821 174 978 540 732 416;
  • 43) 0.416 927 836 282 602 120 813 202 705 821 174 978 540 732 416 × 2 = 0 + 0.833 855 672 565 204 241 626 405 411 642 349 957 081 464 832;
  • 44) 0.833 855 672 565 204 241 626 405 411 642 349 957 081 464 832 × 2 = 1 + 0.667 711 345 130 408 483 252 810 823 284 699 914 162 929 664;
  • 45) 0.667 711 345 130 408 483 252 810 823 284 699 914 162 929 664 × 2 = 1 + 0.335 422 690 260 816 966 505 621 646 569 399 828 325 859 328;
  • 46) 0.335 422 690 260 816 966 505 621 646 569 399 828 325 859 328 × 2 = 0 + 0.670 845 380 521 633 933 011 243 293 138 799 656 651 718 656;
  • 47) 0.670 845 380 521 633 933 011 243 293 138 799 656 651 718 656 × 2 = 1 + 0.341 690 761 043 267 866 022 486 586 277 599 313 303 437 312;
  • 48) 0.341 690 761 043 267 866 022 486 586 277 599 313 303 437 312 × 2 = 0 + 0.683 381 522 086 535 732 044 973 172 555 198 626 606 874 624;
  • 49) 0.683 381 522 086 535 732 044 973 172 555 198 626 606 874 624 × 2 = 1 + 0.366 763 044 173 071 464 089 946 345 110 397 253 213 749 248;
  • 50) 0.366 763 044 173 071 464 089 946 345 110 397 253 213 749 248 × 2 = 0 + 0.733 526 088 346 142 928 179 892 690 220 794 506 427 498 496;
  • 51) 0.733 526 088 346 142 928 179 892 690 220 794 506 427 498 496 × 2 = 1 + 0.467 052 176 692 285 856 359 785 380 441 589 012 854 996 992;
  • 52) 0.467 052 176 692 285 856 359 785 380 441 589 012 854 996 992 × 2 = 0 + 0.934 104 353 384 571 712 719 570 760 883 178 025 709 993 984;
  • 53) 0.934 104 353 384 571 712 719 570 760 883 178 025 709 993 984 × 2 = 1 + 0.868 208 706 769 143 425 439 141 521 766 356 051 419 987 968;
  • 54) 0.868 208 706 769 143 425 439 141 521 766 356 051 419 987 968 × 2 = 1 + 0.736 417 413 538 286 850 878 283 043 532 712 102 839 975 936;
  • 55) 0.736 417 413 538 286 850 878 283 043 532 712 102 839 975 936 × 2 = 1 + 0.472 834 827 076 573 701 756 566 087 065 424 205 679 951 872;
  • 56) 0.472 834 827 076 573 701 756 566 087 065 424 205 679 951 872 × 2 = 0 + 0.945 669 654 153 147 403 513 132 174 130 848 411 359 903 744;
  • 57) 0.945 669 654 153 147 403 513 132 174 130 848 411 359 903 744 × 2 = 1 + 0.891 339 308 306 294 807 026 264 348 261 696 822 719 807 488;
  • 58) 0.891 339 308 306 294 807 026 264 348 261 696 822 719 807 488 × 2 = 1 + 0.782 678 616 612 589 614 052 528 696 523 393 645 439 614 976;
  • 59) 0.782 678 616 612 589 614 052 528 696 523 393 645 439 614 976 × 2 = 1 + 0.565 357 233 225 179 228 105 057 393 046 787 290 879 229 952;
  • 60) 0.565 357 233 225 179 228 105 057 393 046 787 290 879 229 952 × 2 = 1 + 0.130 714 466 450 358 456 210 114 786 093 574 581 758 459 904;
  • 61) 0.130 714 466 450 358 456 210 114 786 093 574 581 758 459 904 × 2 = 0 + 0.261 428 932 900 716 912 420 229 572 187 149 163 516 919 808;
  • 62) 0.261 428 932 900 716 912 420 229 572 187 149 163 516 919 808 × 2 = 0 + 0.522 857 865 801 433 824 840 459 144 374 298 327 033 839 616;
  • 63) 0.522 857 865 801 433 824 840 459 144 374 298 327 033 839 616 × 2 = 1 + 0.045 715 731 602 867 649 680 918 288 748 596 654 067 679 232;
  • 64) 0.045 715 731 602 867 649 680 918 288 748 596 654 067 679 232 × 2 = 0 + 0.091 431 463 205 735 299 361 836 577 497 193 308 135 358 464;
  • 65) 0.091 431 463 205 735 299 361 836 577 497 193 308 135 358 464 × 2 = 0 + 0.182 862 926 411 470 598 723 673 154 994 386 616 270 716 928;
  • 66) 0.182 862 926 411 470 598 723 673 154 994 386 616 270 716 928 × 2 = 0 + 0.365 725 852 822 941 197 447 346 309 988 773 232 541 433 856;
  • 67) 0.365 725 852 822 941 197 447 346 309 988 773 232 541 433 856 × 2 = 0 + 0.731 451 705 645 882 394 894 692 619 977 546 465 082 867 712;
  • 68) 0.731 451 705 645 882 394 894 692 619 977 546 465 082 867 712 × 2 = 1 + 0.462 903 411 291 764 789 789 385 239 955 092 930 165 735 424;

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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504(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:

0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504(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:


0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504(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 0.000 020 830 729 321 671 205 134 999 154 509 660 617 309 504 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