Data Structures and Algorithms Made Easy Data Structure and Algorithmic Puzzles 5th Edition by Careermonk Publications, Narasimha Karumanchi ISBN 9788193245279
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Authors:Careermonk Publications; Narasimha Karumanchi , Series:IT & Computer [289] , Tags:Computers; Languages; Java; Programming; Algorithms , Author sort:Publications, Careermonk & Karumanchi, Narasimha , Ids:Google; 9780615459813 , Languages:Languages:eng , Published:Published:May 2011 , Publisher:CareerMonk Publications , Comments:Comments:”Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles” is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists. A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues, Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts. Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems. Peeling Data Structures and Algorithms for (C/C++, Second Edition): Programming puzzles for interviews Campus Preparation Degree/Masters Course Preparation Instructor’s Big job hunters: Microsoft, Google, Apple, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Face book, McAfee and many more Reference Manual for working people What is unique? Our main objective isn’t to propose theorems and proofs about DS and Algorithms. We took the direct route and solved problems of varying complexities. That is, each problem corresponds to multiple solutions with different complexities. In other words, we enumerated possible solutions. With this approach, even when a new question arises, we offer a choice of different solution strategies based on your priorities. Topics Covered: Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queue and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts Target Audience? These books prepare readers for interviews, exams, and campus work. Language? All code was written in C/C++. If you are using Java, please search for “Data Structures and Algorithms Made Easy in Java” (ISBN: 978-1468101270). Also, check out sample chapters and the blog at: CareerMonk.com
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ISBN 13: 9788193245279
Author: Careermonk Publications, Narasimha Karumanchi
Narasimha Karumanchi’s Data Structures and Algorithms Made Easy – Second Edition, published by CareerMonk Publications, is a comprehensive book for those who aspire to crack interviews and secure their dream jobs. It is a Success Key Book for: programming questions for interviews, campus preparation, degree/masters course preparation, instructors, big job hunters seeking jobs in Microsoft, Google, Amazon, Yahoo, Facebook, Adobe, Apple and many more. It is also a reliable reference manual for working people. Multiple smart solutions with different complexities are included in this title.
Data Structures and Algorithms Made Easy Data Structure and Algorithmic Puzzles 5th Table of contents:
-
Mathematical Foundations
- Basic Mathematics for Algorithms
- Set Theory and Functions
- Probability and Combinatorics
- Graph Theory Basics
-
Data Structures
- Arrays and Strings
- Linked Lists
- Stacks and Queues
- Hash Tables
- Heaps
- Trees (Binary Trees, AVL Trees, Red-Black Trees)
- Graphs (Directed, Undirected, and Weighted Graphs)
-
Algorithm Design Techniques
- Brute Force
- Greedy Algorithms
- Divide and Conquer
- Dynamic Programming
- Backtracking
- Randomized Algorithms
-
Searching and Sorting Algorithms
- Linear Search and Binary Search
- Bubble Sort, Selection Sort, Insertion Sort
- Merge Sort and Quick Sort
- Heap Sort, Counting Sort, Radix Sort
- Search Trees and Balanced Search Trees (AVL, Red-Black, B-trees)
-
Advanced Algorithms
- Graph Algorithms (DFS, BFS, Dijkstra’s Algorithm, Floyd-Warshall)
- Minimum Spanning Tree (Kruskal’s and Prim’s Algorithms)
- Network Flow Algorithms (Ford-Fulkerson, Edmonds-Karp)
- String Matching Algorithms (KMP, Rabin-Karp, Z-Algorithm)
- Divide and Conquer Algorithms
-
Dynamic Programming and Greedy Techniques
- Knapsack Problem
- Longest Common Subsequence (LCS)
- Matrix Chain Multiplication
- Coin Change Problem
- Activity Selection Problem
-
Graph Theory
- Representation of Graphs
- Depth-First Search (DFS)
- Breadth-First Search (BFS)
- Topological Sorting
- Shortest Path Algorithms
- Minimum Spanning Trees
-
Puzzle Solving and Algorithmic Challenges
- Classic Algorithmic Puzzles
- Solving Logical and Mathematical Puzzles
- Optimization Problems
- Advanced Problem Solving Techniques
-
Complexity Analysis
- Time Complexity Analysis (Big-O, Omega, Theta Notations)
- Space Complexity Analysis
- Asymptotic Notations and Their Applications
- Worst Case, Best Case, and Average Case Analysis
-
Practice Problems and Solutions
- Data Structure-based Problems
- Algorithmic Problems
- Graph-related Puzzles
- Dynamic Programming and Greedy Puzzles
-
Interviews and Competitive Programming
- Interview Preparation
- Solving Algorithmic Problems in Interviews
- Tips for Competitive Programming Success
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