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【簡介】 Connect comparative politics concepts to the real world Cases and Concepts in Comparative Politics bridges the gap between understanding and doing comparative politics. Concepts are presented in the context of real situations with pedagogy that asks students to apply their new knowledge immediately in country case studies. Students spend more time actually doing the work of comparative politics. Through Dynamic Data Figures in the Norton Illumine Ebook, in addition to InQuizitive, students have even more support in learning the core concepts of comparative politics and applying them to real-world examples. 【目錄】
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Uniting the usually distinct areas of particle physics and quantum field theory, gravity and general relativity, this expansive and comprehensive textbook of fundamental and theoretical physics describes the quest to consolidate the elementary particles that are the basic building blocks of nature. Designed for advanced undergraduates and graduate students and abounding in worked examples and detailed derivations, as well as historical anecdotes and philosophical and methodological perspectives, this textbook provides students with a unified understanding of all matter at the fundamental level. Topics range from gauge principles, particle decay and scattering cross-sections, the Higgs mechanism and mass generation, to spacetime geometries and supersymmetry. By combining historically separate areas of study and presenting them in a logically consistent manner, students will appreciate the underlying similarities and conceptual connections across these fields. This title, first published in 2015, has been reissued as an Open Access publication on Cambridge Core. Presents a complete and conceptually unifying overview of all fundamental physics Contains many worked examples and derivations to help develop technical skills Includes contextual information in the form of historical anecdotes and an extensive lexicon This title has been reissued as an Open Access publication on Cambridge Core
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In this original and integrated approach to theoretical reasoning in physics, Malcolm Longair illuminates the subject from the perspective of real physics as practised by research scientists. Concentrating on the basic insights, attitudes and techniques that are the tools of the modern physicist, this approach conveys the intellectual excitement and beauty of the subject. Through a series of seven case studies, an undergraduate course in classical physics and the discovery of quanta are reviewed from the point of the view of how the great discoveries and changes of perspective came about. This approach illuminates the intellectual struggles needed to attain understanding of some of the most difficult concepts in physics. Longair's highly acclaimed text has been fully revised and includes new studies on the physics of fluids, Maxwell's great paper on equations for the electromagnetic field and problems of contemporary cosmology and the very early universe. A unique book in the physics landscape emphasising the interaction between experiment and theory and giving the theoretical background behind some of the most important concepts in modern physics An ideal supplement to physics courses at the final-year undergraduate or starting graduate level, developing broad connections and explaining the historical development of key topics Fully revised with the addition of three new chapters covering Maxwell's dynamical theory of the electromagnetic field; the motion of fluids; and dark matter, dark energy and the inflationary paradigm in cosmology A companion volume, Quantum Concepts in Physics, extends the discussions focusing on the development of quantum mechanics
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This book is the result of several decades of teaching experience in data structures and algorithms. It is self-contained but does assume some prior knowledge of data structures, and a grasp of basic programming and mathematics tools. Basic Concepts in Algorithms focuses on more advanced paradigms and methods combining basic programming constructs as building blocks and their usefulness in the derivation of algorithms. Its coverage includes the algorithms' design process and an analysis of their performance. It is primarily intended as a textbook for the teaching of Algorithms for second year undergraduate students in study fields related to computers and programming. Klein reproduces his oral teaching style in writing, with one topic leading to another, related one. Most of the classical and some more advanced subjects in the theory of algorithms are covered, though not in a comprehensive manner. The topics include Divide and Conquer, Dynamic Programming, Graph algorithms, probabilistic algorithms, data compression, numerical algorithms and intractability. Each chapter comes with its own set of exercises, and solutions to most of them are appended. Related Link(s) Press Release - Basic algorithms for undergraduates in a concise and readable form Sample Chapter(s) Preface Chapter 1: Divide and Conquer Request Inspection Copy Contents: List of Background Concepts List of Algorithms Preface Recursion: Divide and Conquer Dynamic Programming Graph Algorithms: Minimum Spanning Trees Shortest Paths Probabilistic Algorithms: Primality Text Algorithms: Data Compression Pattern Matching Numerical Algorithms: Fast Fourier Transform Cryptography Intractability: NP Completeness Approximations Solutions to Selected Exercises References Index Readership: Advanced undergraduate; 2nd year of Computer Science, engineering, data science. The book is intended for a broad audience acquainting the reader with the theoretical sides of computer programming, for students studying computer related fields.