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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. Double precision may be chosen when the range or precision of single precision would be insufficient.
negate a double drem 73 0111 0011 value1, value2 → result get the remainder from a division between two doubles dreturn af 1010 1111 value → [empty] return a double from a method dstore 39 0011 1001 1: index value → store a double value into a local variable #index: dstore_0 47 0100 0111 value → store a double into local variable 0 dstore_1
As with non-Java applications, security vulnerabilities can stem from parts of the platform which may not initially appear to be security-related. For example, in 2011, Oracle issued a security fix for a bug in the Double.parseDouble method. [2] This method converts a string such as "12.34" into the equivalent double-precision floating point ...
In server mode, extensive compilation and optimization is performed, to maximize performance once the application is running by sacrificing startup time. Other Java just-in-time compilers have used a runtime measurement of the number of times a method has executed combined with the bytecode size of a method as a heuristic to decide when to ...
The latest time that can be represented in this form is 03:14:07 UTC on Tuesday, 19 January 2038 (corresponding to 2,147,483,647 seconds since the start of the epoch). This means that systems using a 32-bit time_t type are susceptible to the Year 2038 problem. [9]
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As an 8-bit exponent was not wide enough for some operations desired for double-precision numbers, e.g. to store the product of two 32-bit numbers, [20] both Kahan's proposal and a counter-proposal by DEC therefore used 11 bits, like the time-tested 60-bit floating-point format of the CDC 6600 from 1965.
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