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Software Engineering
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Software Engineering
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A New Approach to ICSE Biology for Class X (A.Y. 2023-24)Onward
Biology is the study of life and living organisms. Since it embraces all living things, it is perhaps the most fascinating branch of science. The new inventions and discoveries have helped greatly in continuously testing and searching the truth and unfolding the mysteries of life whether plants, animals or microscopic life. During the past some years, biology has shifted its focus from the structure of living organisms to looking more at how they work and function. These advances in biological knowledge raise new issues. The present book will help you to understand and contribute to the biological revolution which is taking place in our lives. This book has been revised and upgraded in accor...
Powerful Teaching
Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student a...
Debt Games
International debt rescheduling, both in earlier epochs and our present one, has been marked by a flurry of bargaining. In this process, significant variation has emerged over time and across cases in the extent to which debtors have undertaken economic adjustment, banks or bondholders have written down debts, and creditor governments and international organizations have intervened in negotiations. Debt Games develops and applies a situational theory of bargaining to analyze the adjustment undertaken by debtors and the concessions provided by lenders in international debt rescheduling. This approach has two components: a focus on each actor's individual situation, defined by its political and economic bargaining resources, and a complementary focus on changes in their position. The model proves successful in accounting for bargaining outcomes in eighty-four percent of the sixty-one cases, which include all instances of Peruvian and Mexican debt rescheduling over the last one hundred and seventy years as well as Argentine and Brazilian rescheduling between 1982 and 1994.
Master Resource Book in Mathematics for JEE Main 2022
1. The ‘Master Resource book’ gives complete coverage of Mathematics 2. Questions are specially prepared for AIEEE & JEE main exams 3. The book is divided into 2 parts; consisting 35 chapters from JEE Mains 4. Each chapter is accessorized with 2 Level Exercises and Exam Questions 5. Includes highly useful JEE Main Solved papers Comprehensively covering all topics of JEE Main Syllabus, here’s presenting the revised edition of “Master Resource Book for JEE Main Mathematics” that is comprised for a systematic mastery of a subject with paramount importance to a problem solving. Sequenced as per the syllabus of class 11th & 12th, this book has been divided into two parts accordingly. Ea...
Reliability Engineering
Modern society depends heavily upon a host of systems of varying complexity to perform the services required. The importance of reliability assumes new dimensions, primarily because of the higher cost of these highly complex machines required by mankind and the implication of their failure. This is why all industrial organizations wish to equip their scientists, engineers, managers and administrators with a knowledge of reliability concepts and applications. Based on the author's 20 years experience as reliability educator, researcher and consultant, Reliability Engineering introduces the reader systematically to reliability evaluation, prediction, allocation and optimization. It also covers further topics, such as maintainability and availability, software reliability, economics of reliability, reliability management, reliability testing, etc. A reliability study of some typical systems has been included to introduce the reader to the practical aspects. The book is intended for graduate students of engineering schools and also professional engineers, managers and reliability administrators as it has a wide coverage of reliability concepts.
Data Clustering
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabi...
The Marwari Heritage
From the early Vedic period, the Vaishyas, the oldest mercantile community of India, generated wealth for the nation through their remarkable efforts. Their Marwari offshoots were appointed by many rulers as ministers, advisors and diwans and were recognised as the first philanthropists in India. The Marwari Heritage takes the reader on a voyage of discovery of the Marwaris who migrated from Rajputana, Haryana, Malwa and its adjoining regions to other parts of India. They braved trials and tribulations in unchartered territories, supporting others of their community, never losing faith in their ability to succeed, and focused on their goal, they became the uncrowned kings, first of trade and...
Data Clustering: Theory, Algorithms, and Applications, Second Edition
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
