How Long to Read Problem Solving in Data Structures and Algorithms Using Java
By Hemant Jain
How Long Does it Take to Read Problem Solving in Data Structures and Algorithms Using Java?
It takes the average reader 9 hours and 39 minutes to read Problem Solving in Data Structures and Algorithms Using Java by Hemant Jain
Assuming a reading speed of 250 words per minute. Learn more
Description
Author: Mr. Hemant Jain has worked as a Software Architect at O9 Solutions India. He has over 15 years of experience as a Software Engineer, prior to O9 Solutions he had worked with Adobe Systems India Pvt. Ltd. Noida, Microsoft India R&D Pvt. Ltd. Hyderabad and other software companies. He holds a degree of B.Tech (Honors) in information technology from Indian Institute of Information Technology- Allahabad. Mr. Hemant Jain had authored various books on "Data Structures & Algorithms". These books are recommended as text book for relevant courses in many institutes worldwide: Texas A&M University Central Texas USA. Dublin Technological University Ireland. Lincoln University UK. Bebe's-Bolyai University Romania. Al-Zautoonah University of Jordan. Institute of Graduate Studies & Research Alexandria University, Egypt. Savitribai Phule University Pune, India. IK Gujral Punjab Technical University, India. Mandsaur University, Madhya Pradesh, India. Mahatma Gandhi University, Kottayam, India. CHRIST (Deemed to be University), Pune Lavasa, India. Bharati Vidyapeeth Deemed To Be University,Pune, India. About The Book: This textbook provides in depth coverage of various Data Structures and Algorithms. Concepts are discussed in easy to understand manner. Large number of diagrams are provided to grasp concepts easily. Time and Space complexities of various algorithms are discussed. Helpful for interviews preparation and competitive coding. Large number of interview questions are solved. Java solutions are provided with input and output. Guide you through how to solve new problems in programming interview of various software companies. GitHub Repositories for these books. https://github.com/Hemant-Jain-Author Table of Contents Chapter 0: How to use this book. Chapter 1: Algorithms Analysis Chapter 2: Approach to solve algorithm design problems Chapter 3: Abstract Data Type & Java Collections Chapter 4: Searching Chapter 5: Sorting Chapter 6: Linked List Chapter 7: Stack Chapter 8: Queue Chapter 9: Tree Chapter 10: Priority Queue Chapter 11: Hash-Table Chapter 12: Graphs Chapter 13: String Algorithms Chapter 14: Algorithm Design Techniques Chapter 15: Brute Force Algorithm Chapter 16: Greedy Algorithm Chapter 17: Divide & Conquer Chapter 18: Dynamic Programming Chapter 19: Backtracking Chapter 20: Complexity Theory
How long is Problem Solving in Data Structures and Algorithms Using Java?
Problem Solving in Data Structures and Algorithms Using Java by Hemant Jain is 559 pages long, and a total of 144,781 words.
This makes it 189% the length of the average book. It also has 177% more words than the average book.
How Long Does it Take to Read Problem Solving in Data Structures and Algorithms Using Java Aloud?
The average oral reading speed is 183 words per minute. This means it takes 13 hours and 11 minutes to read Problem Solving in Data Structures and Algorithms Using Java aloud.
What Reading Level is Problem Solving in Data Structures and Algorithms Using Java?
Problem Solving in Data Structures and Algorithms Using Java is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Where Can I Buy Problem Solving in Data Structures and Algorithms Using Java?
Problem Solving in Data Structures and Algorithms Using Java by Hemant Jain is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
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