A bird's eye view of anything is usually the first step to enter a new field of interest. The vast field of Data Visualisation might seem overwhelming at first, but a bird's eye view with this book might just be enough to nudge you over that cliff. We will try to go through every little detail about Data Visualisation, from its etymology all the way to its future enhancements. A detailed analysis of various Data Visualisation and representation techniques will be done in this book along with its various applications as well as the challenges, in enough detail to make it easier to grasp for new explorers of this field.
Search structures support the fundamental data storage primitives on key-value pairs: insert a pair, delete by key, search by key, and update the value associated with a key. Concurrent search structures are parallel algorithms to speed access to search structures on multicore and distributed servers. These sophisticated algorithms perform fine-grained synchronization between threads, making them notoriously difficult to design correctly. Indeed, bugs have been found both in actual implementations and in the designs proposed by experts in peer-reviewed publications. The rapid development and deployment of these concurrent algorithms has resulted in a rift between the algorithms that can be verified by the state-of-the-art techniques and those being developed and used today. The goal of this book is to show how to bridge this gap in order to bring the certified safety of formal verification to high-performance concurrent search structures. Similar techniques and frameworks can be applied to concurrent graph and network algorithms beyond search structures.
This thesis reports on investigations of a specific collective mode of nuclear vibration, the isoscalar giant monopole resonance (ISGMR), the nuclear "breathing mode", the energy of which is directly related to a fundamental property of nuclei—the nuclear incompressibility. The alpha inelastic scattering experiments reported in this thesis have been critical to answering some fundamental questions about nuclear incompressibility and the symmetry energy, quantities that are crucial to our understanding of a number of phenomena in nuclear physics and astrophysics, including collective excitations in nuclei, radii of neutron stars, and the nature of stellar collapse and supernova explosions. The work described included three sets of experiments and subsequent sophisticated data analysis, both leading to results that have been welcomed by the community and recognised as important contributions to the field.
It is not the love story of only Aakash but of almost youngsters. When a child grows up from childhood to teenager, first time he becomes interested in opposite sex and also observe physical changes in himself. As he/she grows up, his/her interests are going to change. Changes are passing through mind and its game. Mind has lots of games. Mind may get interested in appearance initially. After getting maturity of mind he/she may get interested in power of politics, society and money. Heart is left behind because most of youngsters do not go through a total path of love and may stick to body or mind. Aakash is also one of them. He also comes across Sandhya, Priya, Kajal and Shilpa during his teenage years. As all youngsters have their own hobby, Aakash has one too his fondness for nature and sky. As all of us have inner voice he does too and as most of neglect that voice, he does too. The life of Aakash is interesting, full of events, full of love incidents, full of natural beauty of Himalaya and surprises. The story of Aakash gives message and entertainment to not only youngsters but to all class of readers.
Make your searches more responsive and smarter by applying Artificial Intelligence to it Key Features Enter the world of Artificial Intelligence with solid concepts and real-world use cases Make your applications intelligent using AI in your day-to-day apps and become a smart developer Design and implement artificial intelligence in searches Book Description With the emergence of big data and modern technologies, AI has acquired a lot of relevance in many domains. The increase in demand for automation has generated many applications for AI in fields such as robotics, predictive analytics, finance, and more. In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems. But these are not optimal in either space or time and efficient approaches in time and space will be explored. We will also understand how to formulate a problem, which involves looking at it and identifying its initial state, goal state, and the actions that are possible in each state. We also need to understand the data structures involved while implementing these search algorithms as they form the basis of search exploration. Finally, we will look into what a heuristic is as this decides the quality of one sub-solution over another and helps you decide which step to take. What you will learn Understand the instances where searches can be used Understand the algorithms that can be used to make decisions more intelligent Formulate a problem by specifying its initial state, goal state, and actions Translate the concepts of the selected search algorithm into code Compare how basic search algorithms will perform for the application Implement algorithmic programming using code examples Who this book is for This book is for developers who are keen to get started with Artificial Intelligence and develop practical AI-based applications. Those developers who want to upgrade their normal applications to smart and intelligent versions will find this book useful. A basic knowledge and understanding of Python are assumed.
Search structures support the fundamental data storage primitives on key-value pairs: insert a pair, delete by key, search by key, and update the value associated with a key. Concurrent search structures are parallel algorithms to speed access to search structures on multicore and distributed servers. These sophisticated algorithms perform fine-grained synchronization between threads, making them notoriously difficult to design correctly. Indeed, bugs have been found both in actual implementations and in the designs proposed by experts in peer-reviewed publications. The rapid development and deployment of these concurrent algorithms has resulted in a rift between the algorithms that can be verified by the state-of-the-art techniques and those being developed and used today. The goal of this book is to show how to bridge this gap in order to bring the certified safety of formal verification to high-performance concurrent search structures. Similar techniques and frameworks can be applied to concurrent graph and network algorithms beyond search structures.
A bird's eye view of anything is usually the first step to enter a new field of interest. The vast field of Data Visualisation might seem overwhelming at first, but a bird's eye view with this book might just be enough to nudge you over that cliff. We will try to go through every little detail about Data Visualisation, from its etymology all the way to its future enhancements. A detailed analysis of various Data Visualisation and representation techniques will be done in this book along with its various applications as well as the challenges, in enough detail to make it easier to grasp for new explorers of this field.
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