Robust Implementations Of Compound Data Structures


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Robust Implementations of Compound Data Structures


Robust Implementations of Compound Data Structures

Author: Black, J. P. (James P.)

language: en

Publisher:

Release Date: 1979


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Robustness and Complex Data Structures


Robustness and Complex Data Structures

Author: Claudia Becker

language: en

Publisher: Springer Science & Business Media

Release Date: 2014-07-08


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​This Festschrift in honour of Ursula Gather’s 60th birthday deals with modern topics in the field of robust statistical methods, especially for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading experts provide a textbook-style overview of the topic, supplemented by current research results and questions. The statistical theory and methods in this volume aim at the analysis of data which deviate from classical stringent model assumptions, which contain outlying values and/or have a complex structure. Written for researchers as well as master and PhD students with a good knowledge of statistics.

Java Data Structures Explained: A Practical Guide with Example


Java Data Structures Explained: A Practical Guide with Example

Author: William E. Clark

language: en

Publisher: Walzone Press

Release Date: 2025-03-22


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This book provides a precise and comprehensive exploration of data structures and algorithms using the Java programming language. It begins with core language concepts, including syntax, program structure, and object-oriented principles, setting a solid foundation before gradually advancing to more complex topics. The text methodically introduces fundamental data structures like arrays and lists, progressing to linked lists and other linear structures with practical code examples that reinforce the theoretical concepts. Intermediate chapters delve into more advanced data structures, including stacks, queues, deques, trees, and binary search trees, emphasizing their operational mechanics and practical applications. Detailed analyses of algorithmic processes such as traversal, insertion, deletion, and balancing are presented alongside clear, step-by-step demonstrations. The integration of performance considerations and optimization techniques offers valuable insights into efficient programming practices relevant to both academia and industry. Aimed at beginners and intermediate learners, this guide provides a structured approach to mastering Java data structures with clarity and precision. It equips readers with the skills required to implement and manipulate various data structures effectively, ensuring they are well-prepared to solve real-world computational problems. The combination of technical rigor and practical application makes the book an essential resource for developing robust problem-solving and programming capabilities in Java.