This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows : various ways of representing a data structure different operations to manage a data structure several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features : Red-black tree and spray tree are discussed in detail Includes a new chapter on Sorting Includes a new chapter on Searching Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms Provides numerous section-wise assignments in each chapter Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering.
Analysis of Step-Stress Models: Existing Results and Some Recent Developments describes, in detail, the step-stress models and related topics that have received significant attention in the last few years. Although two books, Bagdonavicius and Nikulin (2001) and Nelson (1990), on general accelerated life testing models are available, no specific book is available on step-stress models. Due to the importance of this particular topic, Balakrishnan (2009) provided an excellent review for exponential step-stress models. The scope of this book is much more, providing the inferential issues for different probability models, both from the frequentist and Bayesian points-of-view. - Explains the different distributions of the Cumulative Exposure Mode - Covers many different models used for step-stress analysis - Discusses Step-stress life testing under the competing or complementary risk model
The Java programming language has been one of the most powerful tools available to computer programmers since its inception in 1995. It has also consistently changed since then, making it a vast and powerful resource for object-oriented programming today. This lucid textbook introduces the student not only to the nuances of object-oriented programming, but also to the many syntaxes and semantics of the modern Java language. Each concept of programming is explained, and then illustrated with small but effective ready-to-run programs. Important points to be noted have been emphasized and hints have been given at the end of each discussion so that programmers are careful to avoid common pitfalls. Finally, a number of practice problems taken from real world scenarios encourage the student to think in terms of problem solving, consolidating the knowledge gained.
Hybrid Censoring Know-How: Models, Methods and Applications focuses on hybrid censoring, an important topic in censoring methodology with numerous applications. The readers will find information on the significance of censored data in theoretical and applied contexts, and descriptions of extensive data sets from life-testing experiments where these forms of data naturally occur. The existing literature on censoring methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid censoring methodologies, ideas, and statistical inferential methods. This book fills that gap, featuring statistical tools applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography. - Presents many numerical examples to adequately illustrate all inferential methods discussed - Mentions some open problems and possible directions for future work - Reviews developments on Type-II and Type-I HCS, including the most recent research and trends - Explains why hybrid censored sampling is important in practice - Provides details about the use of HCS under different settings and on various designs of HCS - Describes the use of hybrid censoring in other reliability applications such as reliability sampling plans, step-stress testing, and quality control
The Java programming language has been one of the most powerful tools available to computer programmers since its inception in 1995. It has also consistently changed since then, making it a vast and powerful resource for object-oriented programming today. This lucid textbook introduces the student not only to the nuances of object-oriented programming, but also to the many syntaxes and semantics of the modern Java language. Each concept of programming is explained, and then illustrated with small but effective ready-to-run programs. Important points to be noted have been emphasized and hints have been given at the end of each discussion so that programmers are careful to avoid common pitfalls. Finally, a number of practice problems taken from real world scenarios encourage the student to think in terms of problem solving, consolidating the knowledge gained.
This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods. It provides state-of-the-art coverage including different biometric traits, together with the pros and cons for each. Discussion of different multimodal fusion strategies are also included.
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