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Java 9 Data Structures and Algorithms pdf Download

  • Java 9: Data Structures are introductory tutorials for a broad set of data formats that can be learned in Java or in any Java programming language. This product’s contents are offered without any warranty.

Table of contents

  • Preface
  • Chapter 1: Why Bother? – Basic
  • The performance of an algorithm
  • Best case, worst case and the average case complexity
  • Analysis of asymptotic complexity
  • Asymptotic upper bound of a function
  • Asymptotic upper bound of an algorithm
  • Asymptotic lower bound of a function
  • Asymptotic tight bound of a function
  • Optimization of our algorithm
  • Fixing the problem with large powers
  • Improving time complexity
  • Summary
  • Chapter 2: Cogs and Pulleys – Building Blocks
  • Arrays
  • Insertion of elements in an array
  • Insertion of a new element and the process of appending it
  • Linked list
  • Appending at the end
  • Insertion at the beginning
  • Insertion at an arbitrary position
  • Looking up an arbitrary element
  • Removing an arbitrary element
  • Iteration
  • Doubly linked list
  • Insertion at the beginning or at the end
  • Insertion at an arbitrary location
  • Removing the first element
  • Removing an arbitrary element
  • Removal of the last element
  • Circular linked list
  • Insertion
  • Removal
  • Rotation
  • Summary
  • Chapter 3: Protocols – Abstract Data Types
  • Stack
  • Fixed-sized stack using an array
  • Variable-sized stack using a linked list
  • Queue
  • Fixed-sized queue using an array
  • Variable-sized queue using a linked list
  • Double ended queue
  • Fixed-length double ended queue using an array
  • Variable-sized double ended queue using a linked list
  • Summary
  • Chapter 4: Detour – Functional Programming
  • Recursive algorithms
  • Lambda Expressions in Java
  • Functional interface
  • Implementing a functional interface with lambda
  • Functional data structures and monads
  • Functional linked lists
  • The forEach method for a linked list
  • Map for a linked list
  • Fold operation on a list
  • Filter operation for a linked list
  • Append on a linked list
  • The flatMap method on a linked list
  • The concept of a monad
  • Option monad
  • Try monad
  • Analysis of the complexity of a recursive algorithm
  • Performance of functional programming
  • Summary
  • Chapter 5: Efficient Searching – Binary Search and Sorting
  • Search algorithms
  • Binary search
  • Complexity of the binary search algorithm
  • Sorting
  • Selection sort
  • Complexity of the selection sort algorithm
  • Insertion sort
  • Complexity of insertion sort
  • Bubble sort
  • Inversions
  • Complexity of the bubble sort algorithm
  • A problem with recursive calls
  • Tail recursive functions
  • Non-tail single recursive functions
  • Summary
  • Chapter 6: Efficient Sorting – Quicksort and Merge Sort
  • Quicksort
  • Complexity of quicksort
  • Random pivot selection in quicksort
  • Merge sort
  • The complexity of merge sort
  • Avoiding the copying of tempArray
  • Complexity of any comparison-based sorting
  • The stability of a sorting algorithm
  • Summary
  • Chapter 7: Concepts of Tree
  • A tree data structure
  • The traversal of a tree
  • The depth-first traversal
  • The breadth-first traversal
  • The tree abstract data type
  • Binary tree
  • Types of depth-first traversals
  • Non-recursive depth-first search
  • Summary
  • Chapter 8: More About Search – Search Trees and Hash Tables
  • Binary search tree
  • Insertion in a binary search tree
  • Invariant of a binary search tree
  • Deletion of an element from a binary search tree
  • Complexity of the binary search tree operations
  • Self-balancing binary search tree
  • AVL tree
  • Complexity of search, insert, and delete in an AVL tree
  • Red-black tree
  • Insertion
  • Deletion
  • The worst case of a red-black tree
  • Hash tables
  • Insertion
  • The complexity of insertion
  • Search
  • Complexity of the search
  • Choice of load factor
  • Summary
  • Chapter 9: Advanced General Purpose Data Structures
  • Priority queue ADT
  • Heap
  • Insertion
  • Removal of minimum elements
  • Analysis of complexity
  • Serialized representation
  • Array-backed heap
  • Linked heap
  • Insertion
  • Removal of the minimal elements
  • Complexity of operations in ArrayHeap and LinkedHeap
  • Binomial forest
  • Why call it a binomial tree?
  • Number of nodes
  • The heap property
  • Binomial forest
  • Complexity of operations in a binomial forest
  • Sorting using a priority queue
  • In-place heap sort
  • Summary
  • Chapter 10: Concepts of Graph
  • What is a graph?
  • The graph ADT
  • Representation of a graph in memory
  • Adjacency matrix
  • Complexity of operations in a sparse adjacency matrix graph
  • More space-efficient adjacency-matrix-based graph
  • Complexity of operations in a dense adjacency-matrix-based graph
  • Adjacency list
  • Complexity of operations in an adjacency-list-based graph
  • Adjacency-list-based graph with dense storage for vertices
  • Complexity of the operations of an adjacency-list-based graph with dense storage for vertices
  • Traversal of a graph
  • Complexity of traversals
  • Cycle detection
  • Complexity of the cycle detection algorithm
  • Spanning tree and minimum spanning tree
  • For any tree with vertices V and edges E, |V| = |E| + 1
  • Any connected undirected graph has a spanning tree
  • Any undirected connected graph with the property |V| = |E| + 1 is a tree
  • Cut property
  • Minimum spanning tree is unique for a graph that has all the edges whose costs are different from one another
  • Finding the minimum spanning tree
  • Union find
  • Complexity of operations in UnionFind
  • Implementation of the minimum spanning tree algorithm
  • Complexity of the minimum spanning tree algorithm
  • Summary
  • Chapter 11: Reactive Programming
  • What is reactive programming?
  • Producer-consumer model
  • Semaphore
  • Compare and set
  • Volatile field
  • Thread-safe blocking queue
  • Producer-consumer implementation
  • Spinlock and busy wait
  • Functional way of reactive programming
  • Summary
  • Index

Java 9 Data Structure and Algorithms PDF

Improving Time complexity

Analysis of Asymptotic complexity

About the Author:

Debasish Ray Chawdhuri

  • Debasish Ray Chawdhuri is an established Java developer and has been in the industry for the last 8 years. He has developed several systems, right from CRUD applications to programming languages and big data processing systems.

Best case, worst case and the average case complexity

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Java 9 Data Structures and Algorithms pdf Download

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