Comparison Between Stack and stack

Compared with the functions and functions of stacks, stacks are mainly used to store objects and stacks are mainly used to execute programs. this difference is mainly determined by the features of the stack and stack:

In programming, for example, in C/C ++, all method calls are performed through stacks, and all local variables and formal parameters are allocated memory space from stacks. In fact, there is no allocation, just use it from the top of the stack, just like a conveyor belt in the factory (Conveyor Belt), stack pointer will automatically guide you to the place where you put things, all you have to do is put things down. when you exit the function, you can modify the stack pointer to destroy the stack content. this mode is the fastest, of course, used to run the program. it should be noted that, during the allocation, for example, when assigning a data zone to a program module to be called, the size of the Data zone should be known in advance, that is to say, although the allocation is performed while the program is running, the size of the allocation is fixed, and the "size" is determined during compilation, not at runtime.

Heap requests the operating system to allocate memory when the application is running. Because the memory allocated is managed by the operating system, it takes time to allocate and destroy the heap, therefore, the efficiency of using the heap is very low. however, the advantage of heap is that the compiler does not have to know how much storage space is allocated from the heap or how long the stored data will stay in the heap. Therefore, storing data in a heap gives you more flexibility. In fact, heap memory allocation is essential for object-oriented polymorphism, because the storage space required for Polymorphism variables can be determined only after the object is created at runtime. in C ++, when creating an object, you only need to use the new command to compile the relevant code. When the code is executed, data is automatically saved in the heap. of course, to achieve this flexibility, you must pay a certain price: It will take longer to allocate storage space in the heap! This is also the cause of low efficiency,