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This list contains selected positive numbers in increasing order, including counts of things, dimensionless quantities and probabilities. Each number is given a name in the short scale, which is used in English-speaking countries, as well as a name in the long scale, which is used in some of the countries that do not have English as their national language.
(0.000000000000000000000000000001; 1000−10; short scale: one nonillionth; long scale: one quintillionth)
ISO: quecto- (q)
(0.000000000000000000000000001; 1000−9; short scale: one octillionth; long scale: one quadrilliardth)
ISO: ronto- (r)
(0.000000000000000000000001; 1000−8; short scale: one septillionth; long scale: one quadrillionth)
ISO: yocto- (y)
(0.000000000000000000001; 1000−7; short scale: one sextillionth; long scale: one trilliardth)
ISO: zepto- (z)
(0.000000000000000001; 1000−6; short scale: one quintillionth; long scale: one trillionth)
ISO: atto- (a)
(0.000000000000001; 1000−5; short scale: one quadrillionth; long scale: one billiardth)
ISO: femto- (f)
(0.000000000001; 1000−4; short scale: one trillionth; long scale: one billionth)
ISO: pico- (p)
(0.000000001; 1000−3; short scale: one billionth; long scale: one milliardth)
ISO: nano- (n)
(0.000001; 1000−2; long and short scales: one millionth)
ISO: micro- (μ)
Hand | Chance |
---|---|
1. Royal flush | 0.00015% |
2. Straight flush | 0.0014% |
3. Four of a kind | 0.024% |
4. Full house | 0.14% |
5. Flush | 0.19% |
6. Straight | 0.59% |
7. Three of a kind | 2.1% |
8. Two pairs | 4.8% |
9. One pair | 42% |
10. No pair | 50% |
(0.001; 1000−1; one thousandth)
ISO: milli- (m)
(0.01; one hundredth)
ISO: centi- (c)
(0.1; one tenth)
ISO: deci- (d)
(1; one)
(10; ten)
ISO: deca- (da)
(100; hundred)
ISO: hecto- (h)
(1000; thousand)
ISO: kilo- (k)
(10000; ten thousand or a myriad)
(100000; one hundred thousand or a lakh).
(1000000; 10002; long and short scales: one million)
ISO: mega- (M)
(10000000; a crore; long and short scales: ten million)
(100000000; long and short scales: one hundred million)
(1000000000; 10003; short scale: one billion; long scale: one thousand million, or one milliard)
ISO: giga- (G)
(10000000000; short scale: ten billion; long scale: ten thousand million, or ten milliard)
(100000000000; short scale: one hundred billion; long scale: hundred thousand million, or hundred milliard)
(1000000000000; 10004; short scale: one trillion; long scale: one billion)
ISO: tera- (T)
(1000000000000000; 10005; short scale: one quadrillion; long scale: one thousand billion, or one billiard)
ISO: peta- (P)
(1000000000000000000; 10006; short scale: one quintillion; long scale: one trillion)
ISO: exa- (E)
(1000000000000000000000; 10007; short scale: one sextillion; long scale: one thousand trillion, or one trilliard)
ISO: zetta- (Z)
(1000000000000000000000000; 10008; short scale: one septillion; long scale: one quadrillion)
ISO: yotta- (Y)
(1000000000000000000000000000; 10009; short scale: one octillion; long scale: one thousand quadrillion, or one quadrilliard)
ISO: ronna- (R)
(1000000000000000000000000000000; 100010; short scale: one nonillion; long scale: one quintillion)
ISO: quetta- (Q)
(1000000000000000000000000000000000; 100011; short scale: one decillion; long scale: one thousand quintillion, or one quintilliard)
(1000000000000000000000000000000000000; 100012; short scale: one undecillion; long scale: one sextillion)
(1000000000000000000000000000000000000000; 100013; short scale: one duodecillion; long scale: one thousand sextillion, or one sextilliard)
(1000000000000000000000000000000000000000000; 100014; short scale: one tredecillion; long scale: one septillion)
(10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000; short scale: ten duotrigintillion; long scale: ten thousand sexdecillion, or ten sexdecillard) [65]
(One googolplex; 10googol; short scale: googolplex; long scale: googolplex)
Character encoding is the process of assigning numbers to graphical characters, especially the written characters of human language, allowing them to be stored, transmitted, and transformed using digital computers. The numerical values that make up a character encoding are known as "code points" and collectively comprise a "code space", a "code page", or a "character map".
The number e is a mathematical constant, approximately equal to 2.71828, that is the base of the natural logarithm.
In mathematics, the factorial of a non-negative integer , denoted by , is the product of all positive integers less than or equal to . The factorial of Failed to parse : {\displaystyle n} also equals the product of with the next smaller factorial:
In mathematics, the logarithm is the inverse function to exponentiation. That means that the logarithm of a number x to the base b is the exponent to which b must be raised to produce x. For example, since 1000 = 103, the logarithm base 10 of 1000 is 3, or log10 (1000) = 3. The logarithm of x to base b is denoted as logb (x), or without parentheses, logb x, or even without the explicit base, log x, when no confusion is possible, or when the base does not matter such as in big O notation.
An order of magnitude is an approximation of the logarithm of a value relative to some contextually understood reference value, usually 10, interpreted as the base of the logarithm and the representative of values of magnitude one. Logarithmic distributions are common in nature and considering the order of magnitude of values sampled from such a distribution can be more intuitive. When the reference value is 10, the order of magnitude can be understood as the number of digits in the base-10 representation of the value. Similarly, if the reference value is one of some powers of 2, since computers store data in a binary format, the magnitude can be understood in terms of the amount of computer memory needed to store that value.
The number π is a mathematical constant that is the ratio of a circle's circumference to its diameter, approximately equal to 3.14159. The number π appears in many formulae across mathematics and physics. It is an irrational number, meaning that it cannot be expressed exactly as a ratio of two integers, although fractions such as are commonly used to approximate it. Consequently, its decimal representation never ends, nor enters a permanently repeating pattern. It is a transcendental number, meaning that it cannot be a solution of an equation involving only finite sums, products, powers, and integers. The transcendence of π implies that it is impossible to solve the ancient challenge of squaring the circle with a compass and straightedge. The decimal digits of π appear to be randomly distributed, but no proof of this conjecture has been found.
A prime number is a natural number greater than 1 that is not a product of two smaller natural numbers. A natural number greater than 1 that is not prime is called a composite number. For example, 5 is prime because the only ways of writing it as a product, 1 × 5 or 5 × 1, involve 5 itself. However, 4 is composite because it is a product (2 × 2) in which both numbers are smaller than 4. Primes are central in number theory because of the fundamental theorem of arithmetic: every natural number greater than 1 is either a prime itself or can be factorized as a product of primes that is unique up to their order.
In computing, plain text is a loose term for data that represent only characters of readable material but not its graphical representation nor other objects. It may also include a limited number of "whitespace" characters that affect simple arrangement of text, such as spaces, line breaks, or tabulation characters. Plain text is different from formatted text, where style information is included; from structured text, where structural parts of the document such as paragraphs, sections, and the like are identified; and from binary files in which some portions must be interpreted as binary objects.
UTF-16 (16-bit Unicode Transformation Format) is a character encoding capable of encoding all 1,112,064 valid code points of Unicode (in fact this number of code points is dictated by the design of UTF-16). The encoding is variable-length, as code points are encoded with one or two 16-bit code units. UTF-16 arose from an earlier obsolete fixed-width 16-bit encoding now known as "UCS-2" (for 2-byte Universal Character Set), once it became clear that more than 216 (65,536) code points were needed, including most emoji and important CJK characters such as for personal and place names.
In computer and machine-based telecommunications terminology, a character is a unit of information that roughly corresponds to a grapheme, grapheme-like unit, or symbol, such as in an alphabet or syllabary in the written form of a natural language.
In poker, the probability of each type of 5-card hand can be computed by calculating the proportion of hands of that type among all possible hands.
A decimal separator is a symbol used to separate the integer part from the fractional part of a number written in decimal form. Different countries officially designate different symbols for use as the separator. The choice of symbol also affects the choice of symbol for the thousands separator used in digit grouping.
Rounding or rounding off means replacing a number with an approximate value that has a shorter, simpler, or more explicit representation. For example, replacing $23.4476 with $23.45, the fraction 312/937 with 1/3, or the expression √2 with 1.414.
UTF-32 (32-bit Unicode Transformation Format) is a fixed-length encoding used to encode Unicode code points that uses exactly 32 bits (four bytes) per code point (but a number of leading bits must be zero as there are far fewer than 232 Unicode code points, needing actually only 21 bits). UTF-32 is a fixed-length encoding, in contrast to all other Unicode transformation formats, which are variable-length encodings. Each 32-bit value in UTF-32 represents one Unicode code point and is exactly equal to that code point's numerical value.
Significant figures, also referred to as significant digits or sig figs, are specific digits within a number written in positional notation that carry both reliability and necessity in conveying a particular quantity. When presenting the outcome of a measurement, if the number of digits exceeds what the measurement instrument can resolve, only the number of digits within the resolution's capability are dependable and therefore considered significant.
In computing, fixed-point is a method of representing fractional (non-integer) numbers by storing a fixed number of digits of their fractional part. Dollar amounts, for example, are often stored with exactly two fractional digits, representing the cents. More generally, the term may refer to representing fractional values as integer multiples of some fixed small unit, e.g. a fractional amount of hours as an integer multiple of ten-minute intervals. Fixed-point number representation is often contrasted to the more complicated and computationally demanding floating-point representation.
In computer science, arbitrary-precision arithmetic, also called bignum arithmetic, multiple-precision arithmetic, or sometimes infinite-precision arithmetic, indicates that calculations are performed on numbers whose digits of precision are limited only by the available memory of the host system. This contrasts with the faster fixed-precision arithmetic found in most arithmetic logic unit (ALU) hardware, which typically offers between 8 and 64 bits of precision.
The hartley, also called a ban, or a dit, is a logarithmic unit that measures information or entropy, based on base 10 logarithms and powers of 10. One hartley is the information content of an event if the probability of that event occurring is 1⁄10. It is therefore equal to the information contained in one decimal digit, assuming a priori equiprobability of each possible value. It is named after Ralph Hartley.
A mathematical constant is a key number whose value is fixed by an unambiguous definition, often referred to by a special symbol, or by mathematicians' names to facilitate using it across multiple mathematical problems. Constants arise in many areas of mathematics, with constants such as e and π occurring in such diverse contexts as geometry, number theory, statistics, and calculus.
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