Most Recommended Data Structure and Algorithms Books using Java
In this article, I will provide the list of the Most Recommended Data Structure and Algorithms Books using JAVA for Students, Beginners, and Professional Software Developers. If you want to start your carrier as a developer then understanding Data Structure and Algorithm is a must. Books are the best friend of students as well as developers and the first mode of learning new Languages, Frameworks, and Technologies and nothing can beat books when it comes to educating. It is the reason most experienced JAVA Developers recommend reading books for learning Data Structure and Algorithms.
Combining the best JAVA Data Structure and Algorithms books along with articles, tutorials, and videos, you will get an excellent path to learn Data Structure and Algorithms using JAVA Language. Some of the books just give an overview of various Data Structure and Algorithms concepts, while some other Data Structure and Algorithms books go into the depth of each Data Structure and Algorithms concept.
There are hundreds and thousands of Data Structure and Algorithms books using JAVA is available on Amazon or Internet or any other e-commerce site. And as a beginner, you might be confused to choose the right book to start learning Data Structure and Algorithms. Here, we are giving you the list of Data Structure and Algorithms Books using JAVA Language based on the experience of Learners and Professionals Developers. If you still haven’t put together your reading list, we’re here to help with our choice of the best-recommended books for Data Structure and Algorithms using JAVA.
The design and analysis of efficient data structures have long been recognized as a key component of the Computer Science curriculum. Goodrich and Tomassia’s approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complementary to the Java Collections Framework.
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A handy guide of sorts for any computer science professional, Data Structures and Algorithms Made Easy in Java: 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 in Java: Data Structure and Algorithmic Puzzles by Narasimha Karumanchi was published in 2011, and it is coded in Java language. This book serves as a guide to prepare for interviews, exams, and campus work. It is also available in C/C++. In short, this book offers solutions to various complex data structures and algorithmic problems.
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With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Java as the programming language and is suitable for second-year data structure courses and computer science courses in algorithm analysis.
Techniques for representing data are presented within the context of assessing costs and benefits, promoting an understanding of the principles of algorithm analysis and the effects of a chosen physical medium. The text also explores tradeoff issues, familiarizes readers with the most commonly used data structures and their algorithms, and discusses matching appropriate data structures to applications. The author offers explicit coverage of design patterns encountered in the course of programming the book’s basic data structures and algorithms. Numerous examples appear throughout the text.
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The design and analysis of efficient data structures have long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia, and Goldwasser’s approaches to this classic topic are based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complementary to the Java Collections Framework.
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Peeling Data Structures and Algorithms for (Java, Second Edition): * Programming puzzles for interviews * Campus Preparation * Degree/Masters Course Preparation * Instructor’s * GATE Preparation * Big job hunters: Microsoft, Google, Amazon, Yahoo, Flip Kart, Adobe, IBM Labs, Citrix, Mentor Graphics, NetApp, Oracle, Webaroo, De-Shaw, Success Factors, Face book, McAfee and many more * Reference Manual for working people
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Learning about data structures and algorithms gives you a better insight into how to solve common programming problems. Most of the problems faced every day by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.
This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merges, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.
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Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. It is also suitable for a first-year graduate course in algorithm analysis
As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in Java.
Weiss clearly explains topics from binary heaps to sorting to NP-completeness and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous, and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code complement the text’s coverage.
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This new book provides a concise and engaging introduction to Java and object-oriented programming with an abundance of original examples, use of Unified Modeling Language throughout, and coverage of the new Java 1.5. Addressing critical concepts upfront, the book’s five-part structure covers object-oriented programming, linear structures, algorithms, trees and collections, and advanced topics.
KEY FEATURES: Data Structures and Algorithms in Java takes a practical approach to real-world programming and introduces readers to the process of crafting programs by working through the development of projects, often providing multiple versions of the code and consideration for alternate designs. The book features the extensive use of games as examples; a gradual development of classes analogous to the Java Collections Framework; complete, working code in the book and online; and strong pedagogy including extended examples in most chapters along with exercises, problems, and projects.
MARKET: For readers and professionals with a familiarity with the basic control structures of Java or C and a precalculus level of mathematics who want to expand their knowledge to Java data structures and algorithms. Ideal for a second undergraduate course in computer science.
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Sahni’s DATA STRUCTURES, ALGORITHMS, and APPLICATIONS in JAVA are designed to be used in the second course in computer science (CS2). Using Java, this book provides comprehensive coverage of the fundamental data structures, making it an excellent choice for a CS2 course. The author has made this book student-friendly through intuitive discussion, real-world, applications and a gentle introduction.
Sahni is unique in providing several real-world applications for each data structure presented in the book. These applications come from such areas as Sorting, compression and coding, and image processing. These applications give students a flavor for the sorts of things they will be able to do with the data structures that they are learning.
Almost 1,000 exercises in this text serve to reinforce concepts and get students to apply what they are learning. Sahni’s text is also accompanied by a website containing all the programs in the book, as well as sample data, generated output, solutions to selected exercises, and enhanced discussion of selected material in the text.
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A student-friendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater complexity. Important topics, such as linked lists, are introduced gradually and revisited with increasing depth. More code and guidance are provided at the beginning, allowing students time to adapt to Java while also beginning to learn data structures. As students develop fluency in Java, less code is provided and more algorithms are outlined in pseudocode. The text is designed to support a second course in computer science with an emphasis on elementary data structures.
The clear, concise explanations encourage students to read and engage with the material, while partial implementations of most data structures give instructors the flexibility to develop some methods as examples and assign others as exercises. The book also supplies an introductory chapter on Java basics that allows students who are unfamiliar with Java to quickly get up to speed. The book helps students become familiar with how to use, design, implement, and analyze data structures, an important step on the path to becoming skilled software developers.
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Here, in this article, I provided the list of Most Recommended Data Structure and Algorithms Books using Java Language for Beginners and Professional and I hope this Most Recommended Data Structure and Algorithms Books for Beginners and Professional article will help you with your needs and you enjoy this Most Recommended Data Structure and Algorithms Books using Java Programming Language for Beginners and Professional article.