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A stack can be easily implemented either through an array or a linked list, as it is merely a special case of a list. [19] In either case, what identifies the data structure as a stack is not the implementation but the interface: the user is only allowed to pop or push items onto the array or linked list, with few other helper operations.
This type of stack is also known as an execution stack, program stack, control stack, run-time stack, or machine stack, and is often shortened to simply the "stack". Although maintenance of the call stack is important for the proper functioning of most software , the details are normally hidden and automatic in high-level programming languages .
The stack is often used to store variables of fixed length local to the currently active functions. Programmers may further choose to explicitly use the stack to store local data of variable length. If a region of memory lies on the thread's stack, that memory is said to have been allocated on the stack, i.e. stack-based memory allocation (SBMA).
In computing, a stack trace (also called stack backtrace [1] or stack traceback [2]) is a report of the active stack frames at a certain point in time during the execution of a program. When a program is run, memory is often dynamically allocated in two places: the stack and the heap .
stack: Provides LIFO stack interface in terms of push / pop / top operations (the last-inserted element is on top). Any sequence supporting operations back (), push_back (), and pop_back can be used to instantiate stack (e.g. vector, list, and deque). Associative containers: unordered collections set
Programmers can use trampolined functions to implement tail-recursive function calls in stack-oriented programming languages. [1] In Java, trampoline refers to using reflection to avoid using inner classes, for example in event listeners. The time overhead of a reflection call is traded for the space overhead of an inner class.
Java is a general-purpose, concurrent, class-based, object-oriented [1] programming language that is designed to minimize implementation dependencies. It relies on a Java virtual machine to be secure and highly portable. It is bundled with an extensive library designed to provide abstraction of the underlying platform.
This is usually undesirable, but has been used in interesting ways—see the Chicken Scheme compiler. As CPS and TCO eliminate the concept of an implicit function return, their combined use can eliminate the need for a run-time stack. Several compilers and interpreters for functional programming languages use this ability in novel ways. [6]