In a circular linked list with more than one node, it is convenient to make the pointer
first point to the middle node of the list.
Software engineers typically break the software development process into the following
four phases: analysis, design, implementation, and testing and debugging.
The class implementing the properties of a B-tree must, among others, implement the
search, traversal, insertion, and deletion algorithms.
The performance of the search algorithm on a binary search tree depends on how large
the binary tree is.
A list is a collection of elements of the same type.
In C++ the user can create new operators.
In a shallow copy, two pointers of different data types point to the same memory.
A doubly linked list is a linked list in which every node has a next pointer and a null
pointer.
When an integer is added to a pointer variable, the value of the pointer variable is
incremented by the integer times the size of the memory to which the pointer is
pointing.
Tracing through indirect recursion can be tedious.
Assuming deq is a deque object, the expression deq.push_front(elem) deletes the first
element from deq.
The best and worst cases are likely to occur most of the time that we apply the
sequential search on a list.
To access the fifth element in a list, we must first traverse the first four elements.
When data is being organized, a programmer’s highest priority is to organize it in such a
way that item insertion, deletion, and lookups (searches) are fast.
The base case is never reached or does not exist in an infinite recursion.