-2.211 829 052 383 358 300 119 548 661 699 653 280 265 536 Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard

Convert decimal -2.211 829 052 383 358 300 119 548 661 699 653 280 265 536(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
-2.211 829 052 383 358 300 119 548 661 699 653 280 265 536(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. Start with the positive version of the number:

|-2.211 829 052 383 358 300 119 548 661 699 653 280 265 536| = 2.211 829 052 383 358 300 119 548 661 699 653 280 265 536


2. First, convert to binary (in base 2) the integer part: 2.
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;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

3. 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.

2(10) =

10(2)


4. Convert to binary (base 2) the fractional part: 0.211 829 052 383 358 300 119 548 661 699 653 280 265 536.

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) 0.211 829 052 383 358 300 119 548 661 699 653 280 265 536 × 2 = 0 + 0.423 658 104 766 716 600 239 097 323 399 306 560 531 072;
  • 2) 0.423 658 104 766 716 600 239 097 323 399 306 560 531 072 × 2 = 0 + 0.847 316 209 533 433 200 478 194 646 798 613 121 062 144;
  • 3) 0.847 316 209 533 433 200 478 194 646 798 613 121 062 144 × 2 = 1 + 0.694 632 419 066 866 400 956 389 293 597 226 242 124 288;
  • 4) 0.694 632 419 066 866 400 956 389 293 597 226 242 124 288 × 2 = 1 + 0.389 264 838 133 732 801 912 778 587 194 452 484 248 576;
  • 5) 0.389 264 838 133 732 801 912 778 587 194 452 484 248 576 × 2 = 0 + 0.778 529 676 267 465 603 825 557 174 388 904 968 497 152;
  • 6) 0.778 529 676 267 465 603 825 557 174 388 904 968 497 152 × 2 = 1 + 0.557 059 352 534 931 207 651 114 348 777 809 936 994 304;
  • 7) 0.557 059 352 534 931 207 651 114 348 777 809 936 994 304 × 2 = 1 + 0.114 118 705 069 862 415 302 228 697 555 619 873 988 608;
  • 8) 0.114 118 705 069 862 415 302 228 697 555 619 873 988 608 × 2 = 0 + 0.228 237 410 139 724 830 604 457 395 111 239 747 977 216;
  • 9) 0.228 237 410 139 724 830 604 457 395 111 239 747 977 216 × 2 = 0 + 0.456 474 820 279 449 661 208 914 790 222 479 495 954 432;
  • 10) 0.456 474 820 279 449 661 208 914 790 222 479 495 954 432 × 2 = 0 + 0.912 949 640 558 899 322 417 829 580 444 958 991 908 864;
  • 11) 0.912 949 640 558 899 322 417 829 580 444 958 991 908 864 × 2 = 1 + 0.825 899 281 117 798 644 835 659 160 889 917 983 817 728;
  • 12) 0.825 899 281 117 798 644 835 659 160 889 917 983 817 728 × 2 = 1 + 0.651 798 562 235 597 289 671 318 321 779 835 967 635 456;
  • 13) 0.651 798 562 235 597 289 671 318 321 779 835 967 635 456 × 2 = 1 + 0.303 597 124 471 194 579 342 636 643 559 671 935 270 912;
  • 14) 0.303 597 124 471 194 579 342 636 643 559 671 935 270 912 × 2 = 0 + 0.607 194 248 942 389 158 685 273 287 119 343 870 541 824;
  • 15) 0.607 194 248 942 389 158 685 273 287 119 343 870 541 824 × 2 = 1 + 0.214 388 497 884 778 317 370 546 574 238 687 741 083 648;
  • 16) 0.214 388 497 884 778 317 370 546 574 238 687 741 083 648 × 2 = 0 + 0.428 776 995 769 556 634 741 093 148 477 375 482 167 296;
  • 17) 0.428 776 995 769 556 634 741 093 148 477 375 482 167 296 × 2 = 0 + 0.857 553 991 539 113 269 482 186 296 954 750 964 334 592;
  • 18) 0.857 553 991 539 113 269 482 186 296 954 750 964 334 592 × 2 = 1 + 0.715 107 983 078 226 538 964 372 593 909 501 928 669 184;
  • 19) 0.715 107 983 078 226 538 964 372 593 909 501 928 669 184 × 2 = 1 + 0.430 215 966 156 453 077 928 745 187 819 003 857 338 368;
  • 20) 0.430 215 966 156 453 077 928 745 187 819 003 857 338 368 × 2 = 0 + 0.860 431 932 312 906 155 857 490 375 638 007 714 676 736;
  • 21) 0.860 431 932 312 906 155 857 490 375 638 007 714 676 736 × 2 = 1 + 0.720 863 864 625 812 311 714 980 751 276 015 429 353 472;
  • 22) 0.720 863 864 625 812 311 714 980 751 276 015 429 353 472 × 2 = 1 + 0.441 727 729 251 624 623 429 961 502 552 030 858 706 944;
  • 23) 0.441 727 729 251 624 623 429 961 502 552 030 858 706 944 × 2 = 0 + 0.883 455 458 503 249 246 859 923 005 104 061 717 413 888;
  • 24) 0.883 455 458 503 249 246 859 923 005 104 061 717 413 888 × 2 = 1 + 0.766 910 917 006 498 493 719 846 010 208 123 434 827 776;
  • 25) 0.766 910 917 006 498 493 719 846 010 208 123 434 827 776 × 2 = 1 + 0.533 821 834 012 996 987 439 692 020 416 246 869 655 552;
  • 26) 0.533 821 834 012 996 987 439 692 020 416 246 869 655 552 × 2 = 1 + 0.067 643 668 025 993 974 879 384 040 832 493 739 311 104;
  • 27) 0.067 643 668 025 993 974 879 384 040 832 493 739 311 104 × 2 = 0 + 0.135 287 336 051 987 949 758 768 081 664 987 478 622 208;
  • 28) 0.135 287 336 051 987 949 758 768 081 664 987 478 622 208 × 2 = 0 + 0.270 574 672 103 975 899 517 536 163 329 974 957 244 416;
  • 29) 0.270 574 672 103 975 899 517 536 163 329 974 957 244 416 × 2 = 0 + 0.541 149 344 207 951 799 035 072 326 659 949 914 488 832;
  • 30) 0.541 149 344 207 951 799 035 072 326 659 949 914 488 832 × 2 = 1 + 0.082 298 688 415 903 598 070 144 653 319 899 828 977 664;
  • 31) 0.082 298 688 415 903 598 070 144 653 319 899 828 977 664 × 2 = 0 + 0.164 597 376 831 807 196 140 289 306 639 799 657 955 328;
  • 32) 0.164 597 376 831 807 196 140 289 306 639 799 657 955 328 × 2 = 0 + 0.329 194 753 663 614 392 280 578 613 279 599 315 910 656;
  • 33) 0.329 194 753 663 614 392 280 578 613 279 599 315 910 656 × 2 = 0 + 0.658 389 507 327 228 784 561 157 226 559 198 631 821 312;
  • 34) 0.658 389 507 327 228 784 561 157 226 559 198 631 821 312 × 2 = 1 + 0.316 779 014 654 457 569 122 314 453 118 397 263 642 624;
  • 35) 0.316 779 014 654 457 569 122 314 453 118 397 263 642 624 × 2 = 0 + 0.633 558 029 308 915 138 244 628 906 236 794 527 285 248;
  • 36) 0.633 558 029 308 915 138 244 628 906 236 794 527 285 248 × 2 = 1 + 0.267 116 058 617 830 276 489 257 812 473 589 054 570 496;
  • 37) 0.267 116 058 617 830 276 489 257 812 473 589 054 570 496 × 2 = 0 + 0.534 232 117 235 660 552 978 515 624 947 178 109 140 992;
  • 38) 0.534 232 117 235 660 552 978 515 624 947 178 109 140 992 × 2 = 1 + 0.068 464 234 471 321 105 957 031 249 894 356 218 281 984;
  • 39) 0.068 464 234 471 321 105 957 031 249 894 356 218 281 984 × 2 = 0 + 0.136 928 468 942 642 211 914 062 499 788 712 436 563 968;
  • 40) 0.136 928 468 942 642 211 914 062 499 788 712 436 563 968 × 2 = 0 + 0.273 856 937 885 284 423 828 124 999 577 424 873 127 936;
  • 41) 0.273 856 937 885 284 423 828 124 999 577 424 873 127 936 × 2 = 0 + 0.547 713 875 770 568 847 656 249 999 154 849 746 255 872;
  • 42) 0.547 713 875 770 568 847 656 249 999 154 849 746 255 872 × 2 = 1 + 0.095 427 751 541 137 695 312 499 998 309 699 492 511 744;
  • 43) 0.095 427 751 541 137 695 312 499 998 309 699 492 511 744 × 2 = 0 + 0.190 855 503 082 275 390 624 999 996 619 398 985 023 488;
  • 44) 0.190 855 503 082 275 390 624 999 996 619 398 985 023 488 × 2 = 0 + 0.381 711 006 164 550 781 249 999 993 238 797 970 046 976;
  • 45) 0.381 711 006 164 550 781 249 999 993 238 797 970 046 976 × 2 = 0 + 0.763 422 012 329 101 562 499 999 986 477 595 940 093 952;
  • 46) 0.763 422 012 329 101 562 499 999 986 477 595 940 093 952 × 2 = 1 + 0.526 844 024 658 203 124 999 999 972 955 191 880 187 904;
  • 47) 0.526 844 024 658 203 124 999 999 972 955 191 880 187 904 × 2 = 1 + 0.053 688 049 316 406 249 999 999 945 910 383 760 375 808;
  • 48) 0.053 688 049 316 406 249 999 999 945 910 383 760 375 808 × 2 = 0 + 0.107 376 098 632 812 499 999 999 891 820 767 520 751 616;
  • 49) 0.107 376 098 632 812 499 999 999 891 820 767 520 751 616 × 2 = 0 + 0.214 752 197 265 624 999 999 999 783 641 535 041 503 232;
  • 50) 0.214 752 197 265 624 999 999 999 783 641 535 041 503 232 × 2 = 0 + 0.429 504 394 531 249 999 999 999 567 283 070 083 006 464;
  • 51) 0.429 504 394 531 249 999 999 999 567 283 070 083 006 464 × 2 = 0 + 0.859 008 789 062 499 999 999 999 134 566 140 166 012 928;
  • 52) 0.859 008 789 062 499 999 999 999 134 566 140 166 012 928 × 2 = 1 + 0.718 017 578 124 999 999 999 998 269 132 280 332 025 856;
  • 53) 0.718 017 578 124 999 999 999 998 269 132 280 332 025 856 × 2 = 1 + 0.436 035 156 249 999 999 999 996 538 264 560 664 051 712;

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).


5. 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:


0.211 829 052 383 358 300 119 548 661 699 653 280 265 536(10) =

0.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2)

6. Positive number before normalization:

2.211 829 052 383 358 300 119 548 661 699 653 280 265 536(10) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2)

7. Normalize the binary representation of the number.

Shift the decimal mark 1 positions to the left, so that only one non zero digit remains to the left of it:


2.211 829 052 383 358 300 119 548 661 699 653 280 265 536(10) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2) =

10.0011 0110 0011 1010 0110 1101 1100 0100 0101 0100 0100 0110 0001 1(2) × 20 =

1.0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11(2) × 21


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): 1

Mantissa (not normalized):
1.0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11


9. Adjust the exponent.

Use the 11 bit excess/bias notation:


Exponent (adjusted) =

Exponent (unadjusted) + 2(11-1) - 1 =

1 + 2(11-1) - 1 =

(1 + 1 023)(10) =

1 024(10)


10. 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;
  • 1 024 ÷ 2 = 512 + 0;
  • 512 ÷ 2 = 256 + 0;
  • 256 ÷ 2 = 128 + 0;
  • 128 ÷ 2 = 64 + 0;
  • 64 ÷ 2 = 32 + 0;
  • 32 ÷ 2 = 16 + 0;
  • 16 ÷ 2 = 8 + 0;
  • 8 ÷ 2 = 4 + 0;
  • 4 ÷ 2 = 2 + 0;
  • 2 ÷ 2 = 1 + 0;
  • 1 ÷ 2 = 0 + 1;

11. Construct the base 2 representation of the adjusted exponent.

Take all the remainders starting from the bottom of the list constructed above.


Exponent (adjusted) =

1024(10) =

100 0000 0000(2)


12. 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, by removing the excess bits, from the right (if any of the excess bits is set on 1, we are losing precision...).


Mantissa (normalized) =

1. 0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000 11 =

0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000


13. The three elements that make up the number's 64 bit double precision IEEE 754 binary floating point representation:

Sign (1 bit) =
1 (a negative number)

Exponent (11 bits) =
100 0000 0000

Mantissa (52 bits) =
0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000


Decimal number -2.211 829 052 383 358 300 119 548 661 699 653 280 265 536 converted to 64 bit double precision IEEE 754 binary floating point representation:

1 - 100 0000 0000 - 0001 1011 0001 1101 0011 0110 1110 0010 0010 1010 0010 0011 0000

Share

» Convert decimal -2.211 829 052 383 358 300 119 548 661 699 653 280 265 568 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 06, 2026 [June]: Decimal Numbers Converted to 64 Bit Double Precision IEEE 754 Binary Floating Point Representation Standard. Calculations performed during the month of: June - by our visitors

» Improve your social skills: Reputation: Bridge Between Company's Actions and Market Value. NotebookLM YouTube Video of 6.55 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