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Garbage Collection: Algorithms for Automatic Dynamic Memory Management Rafael D Lins, Richard Jones
Publisher: Wiley

This happens when distinct dynamic libraries are linked with the static library version of the CRT. NewLISP also does references passing by packaging variables into contexts. Dynamic scoping style seems not to be a disadvantage when using the language, as long as you divide your code into context modules. Explicit ownership can reduce unnecessary memory management overhead by taking back the work from the system (the garbage collector) and allowing programmers to be explicit about who owns what. Where this jumping around causes caches to be I have had to solve have really been memory problems. From a user's perspective, newLISP's memory management works just like garbage collection in other scripting languages: memory gets allocated automatically and unused memory gets recycled. In typical memory management implementations, memory is automatically garbage collected when the last reference to a variable is removed. Garbage collection is a system of automatic memory management. I've written a very basic dynamic memory allocation class which ensures that any dynamically allocated memory is automatically deallocated when the program ends, essentially providing a basic garbage collection feature. But, to start off with, what is garbage collection? This article discovers how memory management is more than tracking where your malloc() and free() are located. In addition, it can mean the CPU has to jump around to lots of different memory locations to find pieces of dynamically-allocated memory in different locations. (read [13] for a mark-sweep algorithm) but it is probably not worth the effort using such a sophisticated algorithm if you are mixing in your program C++ code with other high level scripting language where garbage collection is implemented natively.