QUANTUM COMPUTING A helpful introduction to all aspects of quantum computing Quantum computing is a field combining quantum mechanics—the physical science of nature at the scale of atoms and subatomic particles—and information science. Where ordinary computing uses bits, logical values whose position can either be 0 or 1, quantum computing is built around qubits, a fundamental unit of quantum information which can exist in a superposition of both states. As quantum computers are able to complete certain kinds of functions more accurately and efficiently than computers built on classical binary logic, quantum computing is an emerging frontier which promises to revolutionize information science and its applications. This book provides a concise, accessible introduction to quantum computing. It begins by introducing the essentials of quantum mechanics that information and computer scientists require, before moving to detailed discussions of quantum computing in theory and practice. As quantum computing becomes an ever-greater part of the global information technology landscape, the knowledge in Quantum Computing will position readers to join a vital and highly marketable field of research and development. The book’s readers will also find: Detailed diagrams and illustrations throughout A broadly applicable quantum algorithm that improves on the best-known classical algorithms for a wide range of problems In-depth discussion of essential topics including key distribution, cluster state quantum computing, superconducting qubits, and more Quantum Computing is perfect for advanced undergraduate and graduate students in computer science, engineering, mathematics, or the physical sciences, as well as for researchers and academics at the intersection of these fields who want a concise reference.
SWARM INTELLIGENCE This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems. Motivated by the capability of the biologically inspired algorithms, “Swarm Intelligence: An Approach from Natural to Artificial” focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence. Discussed in the book are applications of various swarm intelligence models to operational planning of energy plants, modeling, and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms. Audience The book is directed to researchers, practicing engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.
In this book, the author tries to bring some clarity and much needed top-level understanding of Big Data — what it is, what makes it big, why is it important, and how do we all benefit from it. In the beginning chapters, the book covers the so-called ‘v’s of Big Data — volume, variety, velocity and veracity, as well as a few “minor” ‘v’s. It’s the size of these ‘v’s that gives Big Data its name. Historically, some of the technically most difficult issues with Big Data had to do with its storage and retrieval. Many of the best-known tech companies became the household names thanks to the expertise they developed for dealing with data at scale. In process they developed several advanced technologies and frameworks, many of which became open-sourced (such as Hadoop and Spark), and are now accessible to anyone. The issues and challenges of analyzing data at a large scale are indeed very difficult and need a very strong mathematics skill. I know that very well from firsthand experience many of my favorite techniques and methods that work very well with datasets that can fit in Memory are oftentimes virtually impossible to effectively implement with terabyte-sized data. In the last, the book covers the application of Big data in medicine and business. Untapped potential to use Big data, analytics, and machine learning in these fields. Big data relies on its effectiveness on the full digital transformation of organizations and processes, and, again speaking from experience, medicine and business have still a long way to go in this regard. Big data technologies will continue to have an outsized impact on our lives, and their influence is only going to grow. Anyone who would be interested in learning more about what Big data is all about would be well advised to read this book. It is informative, very well written, and relatively short and highly recommended.
Python is an amazing programming language. It can be applied to almost any programming task. It allows for rapid development and debugging. Getting started with Python is like learning any new skill: it’s important to find a resource you connect with to guide your learning. Luckily, there’s no shortage of excellent books that can help you learn both the basic concepts of programming and the specifics of programming in Python. With the abundance of resources, it can be difficult to identify which book would be best for your situation. Python for Beginners is a concise single point of reference for all material on python. Provides concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools Offers practical advice for each major area of development with both Python 3.x and Python 2.x Based on the latest research in cognitive science and learning theory Helps the reader learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features This book focuses on enthusiastic research aspirants who work on scripting languages for automating the modules and tools, development of web applications, handling big data, complex calculations, workflow creation, rapid prototyping, and other software development purposes. It also targets graduates, postgraduates in computer science, information technology, academicians, practitioners, and research scholars.
The book Computer Applications in Engineering and Management is about computer applications in management, electrical engineering, electronics engineering, and civil engineering. It covers the software tools for office automation, introduces the basic concepts of database management, and provides an overview about the concepts of data communication, internet, and e-commerce. Additionally, the book explains the principles of computing management used in construction of buildings in civil engineering and the role of computers in power grid automation in electronics engineering. Features Provides an insight to prospective research and application areas related to industry and technology Includes industry-based inputs Provides a hands-on approach for readers of the book to practice and assimilate learning This book is primarily aimed at undergraduates and graduates in computer science, information technology, civil engineering, electronics and electrical engineering, management, academicians, and research scholars.
This Book Details The Nuclear Weapon Capabilities Of India And Pakistan Prior And Subsequent To The Pokharan And Chagai Tests Of 1998. It Also Deals Wth The Delivery Systems Available To Both Sides And With Possible Command Structure For The Emerging Nuclear Arsenals.
6 June 1984: The Indian Army storms the Golden Temple in Amritsar. Called Operation Bluestar, the historic and unprecedented event ended the growing spectre of terrorism perpetrated by the extremist Sikh leader Jarnail Singh Bhindranwale and his followers once and for all. But it left in its wake unsolved political questions that continued to threaten Punjab's stability for years to come. How, in a brief span of three years, did India's dynamic frontier state become a national problem? Who was to blame: the central government for allowing the crisis to drift despite warnings, or the long-drawn-out Akali agitation, or the notorious gang of militants who transformed a holy shrine into a sanctuary for terrorists? First published two months after Operation Bluestar, The Punjab Story pieces together the complex Punjab jigsaw through the eyes of some of India's most eminent public figures and journalists. Writing with the passion and conviction of those who were involved with the drama, they present a wide-ranging perspective on the past, present and future of the Punjab tangle; and the truth of many of their'conclusions having been borne out by time.
Victory for Mewari!' His father's last words seemed to spur the young ruler on to ever greater feats. His success on the battlefield raised Rajput pride as high as the magnificent tower at Chittor, which he completed in 1448. Tirelessly subduing mighty sultans as well as sly traitors, Rana Kumbha ensured that his name was inscribed as one of the land's most worthy sons.
As a little boy Shatakarni, or Shalivahana as he was later called, watched helplessly as he and his widowed mother were thrown out of their house by his father's brothers. Sheltered by a potter the boy grew up with the prophecy of a wandering sage ringing in his ears that he would one day become king. The Sanskrit classic, Kathasaritasagar and Vikrama Charita, from which most of this story is taken, traces the path that makes Shalivahana so powerful that an entire era, the Shalivahana Shaka, was named after him.
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