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In the ever-evolving landscape of computer science, the significance of algorithm design and analysis cannot be overstated. This book, "Design and Analysis of Algorithms," endeavors to be a comprehensive guide that navigates both the theoretical foundations and practical applications of algorithms. As we delve into the intricate realm of algorithmic problem-solving, this text aims to provide readers with a balanced blend of theoretical concepts, algorithmic techniques, and real-world examples. Whether you are a seasoned professional seeking to sharpen your algorithmic skills or a student…mehr

Produktbeschreibung
In the ever-evolving landscape of computer science, the significance of algorithm design and analysis cannot be overstated. This book, "Design and Analysis of Algorithms," endeavors to be a comprehensive guide that navigates both the theoretical foundations and practical applications of algorithms. As we delve into the intricate realm of algorithmic problem-solving, this text aims to provide readers with a balanced blend of theoretical concepts, algorithmic techniques, and real-world examples. Whether you are a seasoned professional seeking to sharpen your algorithmic skills or a student embarking on a journey into the fascinating world of algorithms, this book is crafted to be a valuable resource that fosters a deep understanding of algorithm design principles and equips you with the tools necessary to tackle complex computational challenges. In this edition, we present a meticulous exploration of classic and contemporary algorithms, emphasizing clarity in explanation, logical progression, and practical relevance. The overarching goal is to empower readers with the ability to analyze problems, design efficient algorithms, and critically evaluate their performance. By combining theoretical insights with hands-on exercises, we aspire to create an engaging learning experience that transcends the theoretical boundaries of algorithmic design and encourages the application of these concepts in real-world scenarios. As we embark on this intellectual journey, we invite readers to explore the intricate tapestry of algorithms, unravel their mysteries, and cultivate the analytical mindset essential for the ever-evolving landscape of computer science.
Autorenporträt
Dr. Paras Jain is holding the administrative position of Associate Dean Academics at VIT Bhopal University, India. He is an Associate Professor in the School of Computing Science & Engineering at the University. He was awarded with Ph.D in Computer Science and Engineering from Jaypee University of Engineering & Technology (JUET), Guna in the year 2015. He completed his B.E and M.E. in Computer Science and Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya (RGPV), Bhopal in the year 2005 and 2010, respectively. Dr. Jain has more than 15 years of academic experience including 7.5 years post PhD experience. During his academic career, he has held various administrative positions such as School of Computing Sciences and Engineering (SCSE) Timetable Coordinator and member of NAAC and NBA accreditation committee, Examination coordination committee, Library Management Committee, Anti-ragging committee, etc. He has published several research papers in international journals and conferences of repute with eight SCI Indexed and four SCOPUS Indexed publications. He has two International level and two National level patents on his credits. He won the Best Paper Award for a research paper with title "An Adaptive Edge-preserving Image Denoising using Block-based Singular Value Decomposition in Wavelet Domain" presented in ICICT 2015. He has actively participated in various conferences, workshops and FDPs. Dr. Jain presently supervising one Ph.D student. Dr. Jain has also been a reviewer to various reputed International Conferences and Journals. His research interest includes Image Processing, Data Mining, Machine Learning, and Pattern recognition, with expertise in subjects like, Digital Image Processing, Theory of Computation, Compiler Design, Data Structures, Design and Analysis of Algorithms, Algorithm for Advanced Analytics, Social Network Analysis for Big Data etc.