Filled with the most recognizable Indian comic characters, from Suppandi to Shikari Shambu, from Kalia the Crow to the Defective Detectives, Tinkle Digest also features new work by some of India's most exciting writers and artists for children. And that's not all! Each issue comes with loads of knowledge pages, facts and value education. The perfect size to read anywhere, Tinkle Digest will never disappoint.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

    Harmonograph is an introduction to the evolution of simple harmonic theory, from the discoveries of Pythagoras to diatonic tuning and equal temperament. Beautiful drawings show the octave as triangle, the fifth as pentagram; diagrams show the principles of harmonics, overtones, and the monochord. Anthony Ashton examines the phenomenon of resonance in Chladni patterns, describes how to build a harmonograph of your own, and provides tables of world tuning systems. This inspiring book will appeal to musicians, mathematicians, designers, and artists alike.

    Raghunathan uses the props of game theory and behavioural economics to provide an insight into the difficult conundrum of why we are the way we are. He puts under the scanner our attitudes towards rationality and irrationality, selflessness and selfishness, competition and cooperation, and collaboration and deception. Drawing examples from the way we behave in day-to-day situations, Games Indians Play tries to show how in the long run each one of us—whether businessmen, politicians, bureaucrats, or just plain us—stand to profit more if we were to assume a little self-regulation, give fairness a chance and strive to cooperate and collaborate a little more even if self-interests were to be our main driving force.

    From a young child up until his teenage years, Frank struggles to find love and was lucky to find it in Alexandria Ware. While the secretive Frank doesn’t make her privy to his past, he loves Alex in his own way and plans to make her part of his future. Frank is convinced that after five years of being together, Alex is the one for him, but little does he know, she has an agenda of her own. While dealing with Frank’s emotionally unavailable nature, Alex’s love for him is purely conditional and has an expiration date set on whenever her boyfriend is finished stacking his money. Despite her fleeting feelings for Frank, she has no problem using him as an ATM, but when her boyfriend comes up with a plan for the perfect payday for them, will she end up on the wrong side of Frank’s love story? 
While Frank is building with Alex, Taiwan is living in Italy with her sugar daddy of over a decade, Romero Santiago. Being the sugar baby of a well-known cartel leader has its perks, and while Taiwan is enjoying the perks of her lifestyle, she finds herself craving more. As she approaches thirty, expensive trips and shopping trips courtesy of AMEX no longer enthrall her the way they did in her younger years. What Taiwan wants is one of the few things the happily married Romero can’t buy: a family. With a desire to stop sharing someone else’s husband and have one of her own, Taiwan tenders her resignation to a less than pleased Romero. But as a man of means with an endless amount of resources, Romero is able to offer her the deal of a lifetime. The question is, will Taiwan accept?
 Former gang member Rubee Bailey changed her life for the better when she becomes a mother to her daughter, Raylee, and couldn’t have a better father in Bash James. Rubee loves Bash with all her heart, but Bash has some hidden motives of his own when it comes to being with a Bailey. A secret from his pre-Rubee life almost catches up to him, causing him to move differently. When Bash breaks one straw too many, Rubee is sent straight into the arms of another man, with no feelings of remorse. This leaves Rubee asking herself if she’s willing to leave Bash or continue fighting for a lopsided love?

    Myerson introduces, clarifies, and synthesizes the extraordinary advances made in the subject over the past fifteen years, presents an overview of decision theory, and comprehensively reviews the development of the fundamental models: games in extensive form and strategic form, and Bayesian games with incomplete information.Game Theory will be useful for students at the graduate level in economics, political science, operations research, and applied mathematics. Everyone who uses game theory in research will find this book essential.

    Its easy-to-read treatment offers an intuitive approach, featuring informal discussions followed by thematically arranged exercises. Intended for undergraduate courses in abstract algebra, it is suitable for junior- and senior-level math majors and future math teachers. This second edition features additional exercises to improve student familiarity with applications. An introductory chapter traces concepts of abstract algebra from their historical roots. Succeeding chapters avoid the conventional format of definition-theorem-proof-corollary-example; instead, they take the form of a discussion with students, focusing on explanations and offering motivation. Each chapter rests upon a central theme, usually a specific application or use. The author provides elementary background as needed and discusses standard topics in their usual order. He introduces many advanced and peripheral subjects in the plentiful exercises, which are accompanied by ample instruction and commentary and offer a wide range of experiences to students at different levels of ability.

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    Providing a concise introduction to abstract algebra, this work unfolds some of the fundamental systems with the aim of reaching applicable, significant results.

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    

    The remarkable story of the brand that was able to pull off the near-impossible challenge of integrating itself into the food habits of a nation strongly habituated to eating indigenous sweets is recounted here. It is a behind-the-scenes look at the Cadbury Dairy Milk journey in India over the last six decades.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    His aim is to present calculus as the first real encounter with mathematics: it is the place to learn how logical reasoning combined with fundamental concepts can be developed into a rigorous mathematical theory rather than a bunch of tools and techniques learned by rote. Since analysis is a subject students traditionally find difficult to grasp, Spivak provides leisurely explanations, a profusion of examples, a wide range of exercises and plenty of illustrations in an easy-going approach that enlightens difficult concepts and rewards effort. Calculus will continue to be regarded as a modern classic, ideal for honours students and mathematics majors, who seek an alternative to doorstop textbooks on calculus, and the more formidable introductions to real analysis.