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In computer science, type conversion, [1] [2] type casting, [1] [3] type coercion, [3] and type juggling [4] [5] are different ways of changing an expression from one data type to another. An example would be the conversion of an integer value into a floating point value or its textual representation as a string , and vice versa.
Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point.
Autoboxing is the term for getting a reference type out of a value type just through type conversion (either implicit or explicit). The compiler automatically supplies the extra source code that creates the object. For example, in versions of Java prior to J2SE 5.0, the following code did not compile:
A character literal is a type of literal in programming for the representation of a single character's value within the source code of a computer program. Languages that have a dedicated character data type generally include character literals; these include C, C++, Java, [1] and Visual Basic. [2]
Variable length arithmetic represents numbers as a string of digits of a variable's length limited only by the memory available. Variable-length arithmetic operations are considerably slower than fixed-length format floating-point instructions.
strictfp is an obsolete and redundant reserved word in the Java programming language. [1] [2] Previously, this keyword was used as a modifier that restricted floating-point calculations to IEEE 754 semantics to ensure portability.
value → result convert a double to a float: d2i 8e 1000 1110 value → result convert a double to an int d2l 8f 1000 1111 value → result convert a double to a long dadd 63 0110 0011 value1, value2 → result add two doubles daload 31 0011 0001 arrayref, index → value load a double from an array dastore 52 0101 0010 arrayref, index, value →
Turbo coding is an iterated soft-decoding scheme that combines two or more relatively simple convolutional codes and an interleaver to produce a block code that can perform to within a fraction of a decibel of the Shannon limit.