To schedule tasks in a CPU, you can use a priority queue to assign each task a priority based on its deadline, and process the tasks in the order of their priority. The rear pointer always points to the position where an element would be enqueued next. This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle. Stack is linear data structure in which objects are inserted or removed at the same end. Lastly, queues can be used to implement priority queues, which are data structures that store data according to their priority or importance. Learn the difference between linear data structures stacks and queues. To find all possible paths from node A to node D in a graph, you can use a stack to store and visit the next nodes, and backtrack when you reach a dead end or the destination. Additionally, stacks can be used to implement depth-first search. To find the shortest path from node A to node D in a graph, you can use a queue to store and visit the adjacent nodes, and keep track of the distance and the parent of each node. Queues can be employed for breadth-first search, which is a technique for exploring graphs or trees. The goal of a queue data structure, is to store items in such a way that the. For example, to evaluate the postfix expression 2 3 + 4 *, you can use a stack to push and pop the operands and operators, and get the result 20. For instance, stacks can be used to evaluate postfix or prefix expressions, which are common in mathematical and logical operations. You do not know the underlying implementation when using a stack, instead you know what data it can store and different accessors. For example, you could implement a stack using a linked list or using an array. Stacks and queues are widely used in data science, particularly for data structure and algorithm problems. Stacks and queues are abstract data types, not data structures, so they only expose an interface and not an implementation.
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