Skip to main content
fixed formatting
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76
fixed some typos; removed a sentence that did not convey information
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76

Later, having studied computer science and math, and having learned of binary digits, things got clearer and I realized that the objective would be to express the multiplicator as a difference of non-negative integers with a minimal number of 1-bits in the binary representation.
Despite the fact that such a representation could speed up multiplication via repeated addition plus one subtraction or, exponentiation via repeated squaring plus one division, I could not find any mentioning of that representation or how to obtain andan optimal such representation.

From this results, it seems unlikely that the method has not been described previously because of only negligible savings.

Below, the binary digits of the respective constants are listed; boldface runs of digits incur a saving of additions that equal to #bits-(2 + #0-bits):

Plastic number
1.010100110010000010110 010100110010000010111110111 0100 111011 001010010001001010 11011 010110000010 1111 000100010010 11111 00010000010100011000010011001101000 111 00 11011111111 00000010 111 0010 1111 000 111 00 11111 010 111111011 0110101011000011001101010110000110011

Later, having studied computer science and math, and having learned of binary digits, things got clearer and I realized that the objective would be to express the multiplicator as a difference of non-negative integers with a minimal number of 1-bits in the binary representation.
Despite the fact that such a representation could speed up multiplication via repeated addition plus one subtraction or, exponentiation via repeated squaring plus one division, I could not find any mentioning of that representation or how to obtain and optimal such representation.

From this results, it seems unlikely that the method has not been described previously because of only negligible savings.

Below, the binary digits of the respective constants are listed; boldface runs of digits incur a saving of additions that equal to #bits-(2 + #0-bits):

Plastic number
1.010100110010000010110 111 0100 111011 001010010001001010 11011 010110000010 1111 000100010010 11111 00010000010100011000010011001101000 111 00 11011111111 00000010 111 0010 1111 000 111 00 11111 010 111 01101010110000110011

Later, having studied computer science and math, and having learned of binary digits, things got clearer and I realized that the objective would be to express the multiplicator as a difference of non-negative integers with a minimal number of 1-bits in the binary representation.
Despite the fact that such a representation could speed up multiplication via repeated addition plus one subtraction or, exponentiation via repeated squaring plus one division, I could not find any mentioning of that representation or how to obtain an optimal such representation.

Below, the binary digits of the respective constants are listed; boldface runs of digits incur a saving of additions that equal to #bits-(2 + #0-bits):

Plastic number
1.010100110010000010110111 0100 111011 001010010001001010 11011 010110000010 1111 000100010010 11111 00010000010100011000010011001101000 111 00 11011111111 00000010 111 0010 1111 000 111 00 11111 010 111011 01010110000110011

Added binary representation of constants; bit-runs were highlighted
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76

Below, the binary digits of the respective constants are listed; boldface runs of digits incur a saving of additions that equal to #bits-(2 + #0-bits):

Khinchin constant
10.1010 111101111 00 111 00100001000 1111 000 11011 01000011010 11101111 0010 111111011111 00 11111 000 111 0010100011001100 11111111 00 111 00001100 111 0010010 111 000000010000 1111 00110000110000010100 11101110111111 010010011

Chapernowne constant
0.000 111111 0011010 110111 0100 1101111 01010001000 1111111 01000000 111 000001101010011000 111110111 000010 110111 01000000 111111111111 01001010100000 111 0100101010 11011011 001101010 11011011 00000010100 111011 000100011001

ln(2)
0.101100010 111 001000010 1111111011111 01000 111 00 111101111 001101010 1111 00100 1111 000 111011 00 111 0011000000000 111111 0010 1111011 01010 1111 01000000 1111 001101000011001001100 111 00101001100010 11011 00010 11011 000101

Conway constant
1.0100 110110110111 00 1111 01011010100100 11111011 00010010000010101010 11111 00010101001010101010 1111 00 111 010101100010101100 111011111 00 111110110110111 000100 1110111 00000 111 0001001010 111 00 111 0100100101000 1111

sqrt(2)
1.011010100000100 1111 0011001100 1111111 00 11101111 00110010010000100010110010 11111011 000100 11011 00 110111 01010100101010 11111 0100 11111 000 111 010 1101111011 0000010 111 0101000100100 1110111 010100001001100 111011 01

Euler-Mascheroni constant
0.100100 1111 00010001100 111111 000 11011111011011 000011000 1111 01001001101000 11011111 000 1111111 0000001000000010101001011001011010101101010000 111 00 111011 00110000 111 010 1111011 0010 111 001100000000011001000011

Apéry constant
1.001100 1110111 010000000000100 1111 0000000001100010000100 111 00000 110111 00010 111 0001010 111 000101100 1111 00110100100000 1111111 000 11011 00011000000010 11011111011011 00010 111 01001001001101000000010 1110111 01001

Plastic number
1.010100110010000010110 111 0100 111011 001010010001001010 11011 010110000010 1111 000100010010 11111 00010000010100011000010011001101000 111 00 11011111111 00000010 111 0010 1111 000 111 00 11111 010 111 01101010110000110011

$e$
10.10 110111111 00001010100010110001010001010 111011 01001010100110101010 1111110111 00010101100010000000100 111 00 1111 0100 1111 00 1111 000 111011 00010 111 00 111 000101100000 1111 00 111 00010110100 11011 0100101011010101

Golden ratio
1.100 1111 000 11011101111 00 110111 0010 1111111 010010100 11111 000001010 11111 00 111 00 111 001100000001100000010 111 00 1110110111 00100000110100000100001000001000100 111011010111111 00 111 01000100 111 00100101000 111111

Feigenbaum constant
100.1010101101010000110010 111111 000110000 111 0010010 111 01000 111 01000 111 0000000100 111011 01010001011010 111 000100110010000 111111011 010000000100010000110000000 1111 0001011000000010011000100 111 00101010101001

$\pi$
11.0010010000 111111011 0101010001000100001011010001100001000110100110001001100011001100010100010 111 0000000 110111 00000 111 001101000100101001000000100100 111 0000010001000101001100 11111 0011000 111 01000000001

Below, the binary digits of the respective constants are listed; boldface runs of digits incur a saving of additions that equal to #bits-(2 + #0-bits):

Khinchin constant
10.1010 111101111 00 111 00100001000 1111 000 11011 01000011010 11101111 0010 111111011111 00 11111 000 111 0010100011001100 11111111 00 111 00001100 111 0010010 111 000000010000 1111 00110000110000010100 11101110111111 010010011

Chapernowne constant
0.000 111111 0011010 110111 0100 1101111 01010001000 1111111 01000000 111 000001101010011000 111110111 000010 110111 01000000 111111111111 01001010100000 111 0100101010 11011011 001101010 11011011 00000010100 111011 000100011001

ln(2)
0.101100010 111 001000010 1111111011111 01000 111 00 111101111 001101010 1111 00100 1111 000 111011 00 111 0011000000000 111111 0010 1111011 01010 1111 01000000 1111 001101000011001001100 111 00101001100010 11011 00010 11011 000101

Conway constant
1.0100 110110110111 00 1111 01011010100100 11111011 00010010000010101010 11111 00010101001010101010 1111 00 111 010101100010101100 111011111 00 111110110110111 000100 1110111 00000 111 0001001010 111 00 111 0100100101000 1111

sqrt(2)
1.011010100000100 1111 0011001100 1111111 00 11101111 00110010010000100010110010 11111011 000100 11011 00 110111 01010100101010 11111 0100 11111 000 111 010 1101111011 0000010 111 0101000100100 1110111 010100001001100 111011 01

Euler-Mascheroni constant
0.100100 1111 00010001100 111111 000 11011111011011 000011000 1111 01001001101000 11011111 000 1111111 0000001000000010101001011001011010101101010000 111 00 111011 00110000 111 010 1111011 0010 111 001100000000011001000011

Apéry constant
1.001100 1110111 010000000000100 1111 0000000001100010000100 111 00000 110111 00010 111 0001010 111 000101100 1111 00110100100000 1111111 000 11011 00011000000010 11011111011011 00010 111 01001001001101000000010 1110111 01001

Plastic number
1.010100110010000010110 111 0100 111011 001010010001001010 11011 010110000010 1111 000100010010 11111 00010000010100011000010011001101000 111 00 11011111111 00000010 111 0010 1111 000 111 00 11111 010 111 01101010110000110011

$e$
10.10 110111111 00001010100010110001010001010 111011 01001010100110101010 1111110111 00010101100010000000100 111 00 1111 0100 1111 00 1111 000 111011 00010 111 00 111 000101100000 1111 00 111 00010110100 11011 0100101011010101

Golden ratio
1.100 1111 000 11011101111 00 110111 0010 1111111 010010100 11111 000001010 11111 00 111 00 111 001100000001100000010 111 00 1110110111 00100000110100000100001000001000100 111011010111111 00 111 01000100 111 00100101000 111111

Feigenbaum constant
100.1010101101010000110010 111111 000110000 111 0010010 111 01000 111 01000 111 0000000100 111011 01010001011010 111 000100110010000 111111011 010000000100010000110000000 1111 0001011000000010011000100 111 00101010101001

$\pi$
11.0010010000 111111011 0101010001000100001011010001100001000110100110001001100011001100010100010 111 0000000 110111 00000 111 001101000100101001000000100100 111 0000010001000101001100 11111 0011000 111 01000000001

fixed typos
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76
Loading
provided "compression"-result for standard mathematical constants
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76
Loading
made the transition from decimal to binary encoding of numbers more explicit
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76
Loading
Source Link
Manfred Weis
  • 13.2k
  • 4
  • 34
  • 76
Loading