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

Dynamic scoping style seems not to be a disadvantage when using the language, as long as you divide your code into context modules. Emoticon:cat In my post about ShedSkin a couple of days ago I said that I was unsure how ShedSkin handled memory management and whether it has any sort of garbage collection. When zombies are enabled, a deallocated object's class is dynamically changed to be _NSZombie, and by default, the memory region is never marked as free, although this can be controlled separately. This article discovers how memory management is more than tracking where your malloc() and free() are located. Of course depending on the implementation it can lead to less memory efficiency than hand coded C or C++. 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. (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. Memory management and garbage collection in Flash Player is a well debated topic. Some think that the Flash player's references to your object. Unlike JAVA garbage collection mechanism where the memory for allocated object is automatically reclaimed by system when it goes out of scope, in iPhone framework developer need to take care of releasing the memory for the object. ShedSkin Part II: Garbage Collection and Memory Management. This happens when distinct dynamic libraries are linked with the static library version of the CRT. Flex will take care of any auto bindings created with the [Bindable] meta data. Automatic garbage collection is the feature of dynamic languages which most reduces programmer headaches. Garbage Collection: Algorithms for Automatic Dynamic Memory Management The algorithm, Bounds on the latency of Baker's algorithm, Limitations of Baker's algorithm, Variations on Baker, Dynamic regrouping. NewLISP also does references passing by packaging variables into contexts. Garbage Collection: Algorithms for Automatic Dynamic Memory Management by Richard Jones, Rafael Lins - Find this book online from $26.99.