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In VBA, an assignment of variables of type Object is a shallow copy, an assignment for all other types (numeric types, String, user defined types, arrays) is a deep copy. So the keyword Set for an assignment signals a shallow copy and the (optional) keyword Let signals a deep copy. There is no built-in method for deep copies of Objects in VBA.
C++ objects in general behave like primitive types, so to copy a C++ object one could use the '=' (assignment) operator. There is a default assignment operator provided for all classes, but its effect may be altered through the use of operator overloading. There are dangers when using this technique (see slicing).
It was lacking the initial simple definition of the term so I added it. Plus I added an introduction for simple copies. That can be expanded to give examples of how overloading applies to object copying. Copy constructors ditto. It still needs to be improved. --Radacovsky 00:00, 27 October 2006 (UTC) Hi i have added an example code which ...
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All examples in the books use a hypothetical language called "MIX assembly language" (MIXAL), which runs on "a mythical computer called MIX". Currently, [when?] the MIX computer is being replaced by the MMIX computer, which is a RISC version. The conversion from MIX to MMIX was a large ongoing project for which Knuth solicited volunteers for help.
definition: is defined as metalanguage:= means "from now on, is defined to be another name for ." This is a statement in the metalanguage, not the object language. The notation may occasionally be seen in physics, meaning the same as :=.
Copy-on-write (COW), also called implicit sharing [1] or shadowing, [2] is a resource-management technique [3] used in programming to manage shared data efficiently. Instead of copying data right away when multiple programs use it, the same data is shared between programs until one tries to modify it.
Arm's optimized math routines; GCE-Math is a version of C/C++ math functions written for C++ constexpr (compile-time calculation) CORE-MATH, correctly rounded for single and double precision. SIMD (vectorized) math libraries include SLEEF, Yeppp!, and Agner Fog's VCL, plus a few closed-source ones like SVML and DirectXMath. [9]