exponent, biased - определение. Что такое exponent, biased
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Что (кто) такое exponent, biased - определение

THE CONSTANT OFFSET OF AN EXPONENT'S VALUE
Biased exponent; Characteristic (biased exponent)

Exponent bias         
In IEEE 754 floating-point numbers, the exponent is biased in the engineering sense of the word – the value stored is offset from the actual value by the exponent bias, also called a biased exponent.
Lyapunov exponent         
  • The leading Lyapunov vector.
  • Points inside and outside [[Mandelbrot set]] colored by Lyapunov exponent.
THE RATE OF SEPARATION OF INFINITESIMALLY CLOSE TRAJECTORIES
Lyapunov test; Lyapunov characteristic exponent; Lyapunov characteristic number; Liapunov exponent; Ljapunov exponent; Lyapunov exponen; Lyaponov exponent; Liapunov Exponent; Lyapunov exponents; Ftle; Lyapunov Exponent; Lyapunov number
In mathematics, the Lyapunov exponent or Lyapunov characteristic exponent of a dynamical system is a quantity that characterizes the rate of separation of infinitesimally close trajectories. Quantitatively, two trajectories in phase space with initial separation vector \delta \mathbf{Z}_0 diverge (provided that the divergence can be treated within the linearized approximation) at a rate given by
Prime factor exponent notation         
Arabic exponent notation; Recordian notation
In his 1557 work The Whetstone of Witte, British mathematician Robert Recorde proposed an exponent notation by prime factorisation, which remained in use up until the eighteenth century and acquired the name Arabic exponent notation. The principle of Arabic exponents was quite similar to Egyptian fractions; large exponents were broken down into smaller prime numbers.

Википедия

Exponent bias

In IEEE 754 floating-point numbers, the exponent is biased in the engineering sense of the word – the value stored is offset from the actual value by the exponent bias, also called a biased exponent. Biasing is done because exponents have to be signed values in order to be able to represent both tiny and huge values, but two's complement, the usual representation for signed values, would make comparison harder.

To solve this problem the exponent is stored as an unsigned value which is suitable for comparison, and when being interpreted it is converted into an exponent within a signed range by subtracting the bias.

By arranging the fields such that the sign bit takes the most significant bit position, the biased exponent takes the middle position, then the significand will be the least significant bits and the resulting value will be ordered properly. This is the case whether or not it is interpreted as a floating-point or integer value. The purpose of this is to enable high speed comparisons between floating-point numbers using fixed-point hardware.

To calculate the bias for an arbitrarily sized floating-point number apply the formula 2k−1 − 1 where k is the number of bits in the exponent.

When interpreting the floating-point number, the bias is subtracted to retrieve the actual exponent.

  • For a single-precision number, the exponent is stored in the range 1 .. 254 (0 and 255 have special meanings), and is interpreted by subtracting the bias for an 8-bit exponent (127) to get an exponent value in the range −126 .. +127.
  • For a double-precision number, the exponent is stored in the range 1 .. 2046 (0 and 2047 have special meanings), and is interpreted by subtracting the bias for an 11-bit exponent (1023) to get an exponent value in the range −1022 .. +1023.
  • For a quad-precision number, the exponent is stored in the range 1 .. 32766 (0 and 32767 have special meanings), and is interpreted by subtracting the bias for a 15-bit exponent (16383) to get an exponent value in the range −16382 .. +16383.