Computer Science Price list in India

Problems Title
Starting With Comprehension Composition

Starting With Comprehension Composition

Description Starting with Comprehension & Composition , into thesecond edition now, aims to deepen its founding mandate. Acontemporary course designed to sharpen both receptive andproductive skills, the series has considerably expanded its readingbase with a range of genres from historical letters to fiction tomemoirs besides travelogues, speeches and writings in science . Aspecial feature of this series is an extract from President Dr.APJAbdul Kalam's memoirs which will not merely inspire but teachchildren the art of writing from the heart of experience. Thepieces have been carefully chosen and graded keeping in view theirhistoricity, literary quality, textual richness and informationvalue. The exercises in comprehension test and advance deductivelearning by honing situation ? based inferential skills. The courseis structured to help the learner apply these skills to a varietyof texts, both prose and poetry , which often call for distinctivemodes of understanding and interpretation. The exercises incomposition help the learner to explore and appreciate the nuancesand structure of the English language. It is expected to encouragea high degree of felicity and lucidity of expression andcreativity. The initial books in the series provide writing and colouring practice. Picture comprehension exercises test the young learner's comprehensive and understanding abilities. Composition exercises aim to improve writing skills and encourage creativity. Comprehensive passages test the understanding of the learner through a variety of exercises.

Internet of Things

Internet of Things

This book is divided in to seven chapters. We start off with the introduction to IoT for beginners, thereby covering the characteristics and enabling technologies of IoT. We then move on to detail the sensors and other related hardware units which form the core part of any IoT application in br>Chapter 2. Multiple protocols are followed in IoT domain and they are detailed in chapters 3 and 4. Cloud is another major component as they help to control things from remote places, process and feedback data, etc. Br>chapter 5 is an in-depth discussion on cloud technology from IoT perspective. Data analytics is another associated field of IoT discussed in br>Chapter 6, which looks into different machine learning algorithms and real-time data analytics.

Object - Oriented Modeling and Design With UML, 2e

Object - Oriented Modeling and Design With UML, 2e

This revision offers a crisp, clear explanation of the basics of object-oriented thinking via UML models, then presents a process for applying these principles to software development, including C++, Java and relational databases. An integrated case study threads throughout the book, illustrating key ideas as well as their application.

Idea

Virtual Reality Technology, 2ed

This Second Edition of the first comprehensive technical book on the subject of virtual reality provides updated and expanded coverage of the technology where it originated, how it has evolved, and where it is going. The authors cover all of the latest innovations and applications that are making virtual reality more important than ever before.

Elasticity-Theory, Applications, and Numerics, 3ed

Elasticity-Theory, Applications, and Numerics, 3ed

Elasticity-theory, applications, and numerical, 3ed.

Parallel Computing: Theory and Practice

Parallel Computing: Theory and Practice

This text provides an exceptional introduction to parallel computing by balancing theory and practice. The emphasis is on designing, analyzing and implementing parallel algorithms suitable for execution on real parallel computers. Early chapters set the stage by introducing key concepts, illustrating fundamental parallel algorithms, and describing ways to incorporate high level-parallelism into hardware and software.Later chapters explore the development of parallel algorithms, and describing ways to incorporate high-level parallelism into hardware and software. Later chapter explore the development of parallelism into hardware and software. Later chapters explore the development of parallel algorithms for matrix multiplication, the fast Fourier transform, solving linear systems, sorting searching, graph theoretic problems, and combinatorial search. Numerous graphs illustrate the speedups that can be achieved on actual parallel hardware by implementing the parallel algorithms developed in the text. As a result, students learn how to make efficient use of femerging parallel computer technology.

Distributed Systems: Concepts and Design, 4e

Distributed Systems: Concepts and Design, 4e

Broad and up-to-date coverage of the principles and practice in this fast moving area. Includes the key issues in the debate between components and web services as the way forward for industry. The depth of coverage will enable students to evaluate existing distributed systems and design new ones.

Machine Learning - A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Machine Learning - A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package-PMTK (probabilistic modeling toolkit)-that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Network Analysis and Synthesis, 2ed

Network Analysis and Synthesis, 2ed

This book is in many senses a tour de force of network analysis and synthesis. It covers most of the essential topics to understand the workings of modern networking and lays the foundation for more advanced studies into the various areas. There is an extensive use and explanation of mathematics which is central to understanding networks.

Computer Science Sub Categories

Networking Database Storage & Design Programming Languages Graphics & Visualization Object-Oriented Software Design Software Design & Engineering

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