Arrays are collections of elements stored in contiguous memory locations. Fast access via index ( Cons: Fixed size; insertions and deletions are costly ( ) as elements must be shifted. 3.2 Dynamic Structures: Linked Lists
Simple algorithms like Bubble Sort or Insertion Sort provide a conceptual base for more complex divide-and-conquer methods. 6. Conclusion Algoritmos y Estructuras de Datos.part1.rar
Dynamic sizing and efficient insertions/deletions at known positions. 4. Abstract Data Types (ADTs): Stacks and Queues Arrays are collections of elements stored in contiguous
Early studies in algorithms focus on rearranging and finding data: Moving from Linear Search ( ) to Binary Search ( ), which requires sorted data. Abstract Data Types (ADTs): Stacks and Queues Early
Part 1 of this study focuses on structures where elements are arranged sequentially: 3.1 Static Structures: Arrays
A linked list consists of nodes where each node contains data and a pointer to the next node. One-way traversal. Doubly Linked: Two-way traversal.
Before implementing structures, one must understand how to measure them. (Big O) allows programmers to predict how the execution time or memory usage of an algorithm grows as the input size ( ) increases. : Constant time (e.g., accessing an array index). : Linear time (e.g., searching an unsorted list). : Quadratic time (e.g., nested loops in simple sorting). 3. Linear Data Structures