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Java: Loops, Data Structures, Recursion & Big-O
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Highlights
Gear up for your computer science exams with this highly practical review workbook tailored specifically for intermediate Java data structures and algorithm analysis courses.
Core Chapters Covered: Loops and Arrays: Code-tracing strategies for nested loops and managing array index boundaries. Linked Lists: Visualizing nodes, head updates, pointer traversal, and avoiding termination bugs. Queues & Stacks: Master FIFO vs. LIFO behaviors, enqueue/dequeue, and push/pop operations. Recursion: Step-by-step tracing of recursive calls and defining concrete base cases. Big-O Notation: Growth rate hierarchies from O(1) to $O(n!) with direct simplification techniques. Binary Search Trees (BST) & Heaps: Insertion, structural deletion cases, traversals (preorder, inorder, postorder), and max/min heap bubbling behaviors. Includes an Answer Key containing complete loop traces, tree diagrams, memory behaviors, and sorted array logic.
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