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Introduction to Elementary Particles,
This is the first quantitative treatment of elementary particle theory that is accessible to undergraduates. Using a lively, informal writing style, the author strikes a balance between quantitative rigor and intuitive understanding. The first chapter provides a detailed historical introduction to the subject. Subsequent chapters offer a consistent and modern presentation, covering the quark model, Feynman diagrams, quantum electrodynamics, and gauge theories. A clear introduction to the Feynman rules, using a simple model, helps readers learn the calculational techniques without the complications of spin. And an accessible treatment of QED shows how to evaluate tree-level diagrams. Contains an abundance of worked examples and many end-of-chapter problems.
by David Griffiths
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Solutions Manual Introduction to Statistical Physics, Second Edition,
Moving from basic to more advanced topics, this popular core text has been revised and expanded to reflect recent advances. While giving readers the tools needed to understand and work with random processes, it places greater focus on thermodynamics, especially the kinetics of phase transitions. The chapter on Bose–Einstein condensation has been revised to reflect improvements in the field. The edition also covers stochastic processes in greater depth, with a more detailed treatment of the Langevin equation. It provides new exercises and a complete solutions manual for qualifying instructors.
by Kerson Huang
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Introduction To Algorithms,
An extensively revised edition of a mathematically rigorous yet accessible introduction to algorithms.
by Thomas H Cormen
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Introduction to Statistics and Data Analysis,
Roxy Peck, Chris Olsen, and Jay Devore’s new edition uses real data and attention-grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including the frequent substitution of words for symbols--helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand. INTRODUCTION TO STATISTICS AND DATA ANALYSIS, 4th Edition, includes updated coverage of the graphing calculator as well as expanded coverage of probability. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
by Roxy Peck
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Instructors Manual Introduction to Chemi,
by Dickson
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Introduction to Linear Algebra,
This leading textbook for first courses in linear algebra comes from the hugely experienced MIT lecturer and author Gilbert Strang. The book's tried and tested approach is direct, offering practical explanations and examples, while showing the beauty and variety of the subject. Unlike most other linear algebra textbooks, the approach is not a repetitive drill. Instead it inspires an understanding of real mathematics. The book moves gradually and naturally from numbers to vectors to the four fundamental subspaces. This new edition includes challenge problems at the end of each section. Preview five complete sections at math.mit.edu/linearalgebra. Readers can also view freely available online videos of Gilbert Strang's 18.06 linear algebra course at MIT, via OpenCourseWare (ocw.mit.edu), that have been watched by over a million viewers. Also on the web (http://web.mit.edu/18.06/www/), readers will find years of MIT exam questions, MATLAB help files and problem sets to practise what they have learned.
by Gilbert Strang
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Solutions Manual for an Introduction to Thermodynamics,
This manual contains the complete solution for all the 505 chapter-end problems in the textbook An Introduction to Thermodynamics, and will serve as a handy reference to teachers as well as students. The data presented in the form of tables and charts in the main textbook are made use of in this manual for solving the problems.
by Y.V.C. Rao
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Introduction to Probability Models, Student Solutions Manual (e-only),Introduction to Probability Models 10th Edition
Introduction to Probability Models, Student Solutions Manual (e-only)
by Sheldon M Ross
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Catalog of Copyright Entries. Third Series,1966: Title Index
by Library of Congress. Copyright Office
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The Elements of Statistical Learning,Data Mining, Inference, and Prediction, Second Edition
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for ``wide'' data (p bigger than n), including multiple testing and false discovery rates.
by Trevor Hastie
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Introduction to Genetic Analysis Solutions MegaManual,
The solutions mega manual contains complete worked-out solutions to all the problems in the textbook. Used in conjunction with the main text, this manual is one of the best ways to develop a fuller appreciation of genetic principles.
by William Fixen
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Solutions Manual for An Introduction to Genetic Analysis,
Since its inception, Introduction to Genetic Analysis (IGA) has been known for its prominent authorship including leading scientists in their field who are great educators. This market best-seller exposes students to the landmark experiments in genetics, teaching students how to analyze experimental data and how to draw their own conclusions based on scientific thinking while teaching students how to think like geneticists. Visit the preview site at www.whfreeman.com/IGA10epreview
by David Scott
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Game Theory,An Introduction
This comprehensive textbook introduces readers to the principal ideas and applications of game theory, in a style that combines rigor with accessibility. Steven Tadelis begins with a concise description of rational decision making, and goes on to discuss strategic and extensive form games with complete information, Bayesian games, and extensive form games with imperfect information. He covers a host of topics, including multistage and repeated games, bargaining theory, auctions, rent-seeking games, mechanism design, signaling games, reputation building, and information transmission games. Unlike other books on game theory, this one begins with the idea of rationality and explores its implications for multiperson decision problems through concepts like dominated strategies and rationalizability. Only then does it present the subject of Nash equilibrium and its derivatives. Game Theory is the ideal textbook for advanced undergraduate and beginning graduate students. Throughout, concepts and methods are explained using real-world examples backed by precise analytic material. The book features many important applications to economics and political science, as well as numerous exercises that focus on how to formalize informal situations and then analyze them. Introduces the core ideas and applications of game theory Covers static and dynamic games, with complete and incomplete information Features a variety of examples, applications, and exercises Topics include repeated games, bargaining, auctions, signaling, reputation, and information transmission Ideal for advanced undergraduate and beginning graduate students Complete solutions available to teachers and selected solutions available to students
by Steven Tadelis
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Protein Analysis and Purification,Benchtop Techniques
This book is designed to be a practical progression of experimental techniques an investigator may follow when embarking on a biochemical project. The protocols may be performed in the order laid out or may be used inde pendently. The aim of the book is to assist a wide range of researchers. from the novice to the frustrated veteran, in the choice and design of experiments that are to be performed to provide answers to specific questions. The manual describes standard techniques that have been shown to work, as well as some newer ones that are beginning to prove important. By following the promi nently numbered steps. you can work your way through any protocol. whether it's a new technique or a task you've done before for which you need a quick review or updated methodology. This manual will assist the experimentalist in designing properly controlled experiments. There will be no advice for dealing with specific pieces of equip ment other than encouragement to read the manual, if you can find it. Through out all manipulations try to be objective. Be on the lookout for unexpected findings. You will learn the most from unexpected results. and they are often the beginning of the next project. It is never possible to record too much in your lab notebook. Do not get discouraged. Remember, things will not always run smoothly.
by I.M. Rosenberg
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Introduction to Graph Theory,Solutions Manual
This is a companion to the book Introduction to Graph Theory (World Scientific, 2006). The student who has worked on the problems will find the solutions presented useful as a check and also as a model for rigorous mathematical writing. For ease of reference, each chapter recaps some of the important concepts and/or formulae from the earlier book. Book jacket.
by Khee Meng Koh
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