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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) [72]
(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 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 character map.
The number e is a mathematical constant approximately equal to 2.71828 that is the base of the natural logarithm and exponential function. It is sometimes called Euler's number, after the Swiss mathematician Leonhard Euler, though this can invite confusion with Euler numbers, or with Euler's constant, a different constant typically denoted . Alternatively, e can be called Napier's constant after John Napier. The Swiss mathematician Jacob Bernoulli discovered the constant while studying compound interest.
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 also equals the product of with the next smaller factorial: For example, The value of 0! is 1, according to the convention for an empty product.
In mathematics, the logarithm to baseb is the inverse function of exponentiation with base b. 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 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. When the base is clear from the context or is irrelevant it is sometimes written log x.
Order of magnitude is a concept used to discuss the scale of numbers in relation to one another.
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 method capable of encoding all 1,112,064 valid code points of Unicode. The encoding is variable-length as code points are encoded with one or two 16-bitcode 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 computing and telecommunications, 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 that separates 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.
In probability theory, odds provide a measure of the probability of a particular outcome. Odds are commonly used in gambling and statistics. For example for an event that is 40% probable, one could say that the odds are "2 in 5","2 to 3 in favor", or "3 to 2 against".
UTF-32 (32-bit Unicode Transformation Format), sometimes called UCS-4, 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). In contrast, all other Unicode transformation formats 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.
The null character is a control character with the value zero. It is present in many character sets, including those defined by the Baudot and ITA2 codes, ISO/IEC 646, the C0 control code, the Universal Coded Character Set, and EBCDIC. It is available in nearly all mainstream programming languages. It is often abbreviated as NUL. In 8-bit codes, it is known as a null byte.
A power of two is a number of the form 2n where n is an integer, that is, the result of exponentiation with number two as the base and integer n as the exponent.
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 potentially 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.
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