A completely revised edition that combines a comprehensive coverage of statistical and thermal physics with enhanced computational tools, accessibility, and active learning activities to meet the needs of today's students and educators
This revised and expanded edition of Statistical and Thermal Physics introduces students to the essential ideas and techniques used in many areas of contemporary physics. Ready-to-run programs help make the many abstract concepts concrete. The text requires only a background in introductory mechanics and some basic ideas of quantum theory, discussing material typically found in undergraduate texts as well as topics such as fluids, critical phenomena, and computational techniques, which serve as a natural bridge to graduate study.
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Harvey Gould is Professor Emeritus of Physics at Clark University. Jan Tobochnik is the Dow Distinguished Professor of Natural Science at Kalamazoo College. They are the coauthors, with Wolfgang Christian, of An Introduction to Computer Simulation Methods: Applications to Physical Systems.
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Condición: good. All pages and cover are intact. Dust jacket included if applicable, though it may be missing on hardcover editions. Spine and cover may show minor signs of wear including scuff marks, curls or bends to corners as well as cosmetic blemishes including stickers. Pages may contain limited notes or highlighting. "From the library of" labels may be present. Shrink wrap, dust covers, or boxed set packaging may be missing. Bundled media e.g., CDs, DVDs, access codes may not be included. Nº de ref. del artículo: COLV.0691201897.G
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Hardback. Condición: New. A completely revised edition that combines a comprehensive coverage of statistical and thermal physics with enhanced computational tools, accessibility, and active learning activities to meet the needs of today's students and educatorsThis revised and expanded edition of Statistical and Thermal Physics introduces students to the essential ideas and techniques used in many areas of contemporary physics. Ready-to-run programs help make the many abstract concepts concrete. The text requires only a background in introductory mechanics and some basic ideas of quantum theory, discussing material typically found in undergraduate texts as well as topics such as fluids, critical phenomena, and computational techniques, which serve as a natural bridge to graduate study.Completely revised to be more accessible to studentsEncourages active reading with guided problems tied to the textUpdated open source programs available in Java, Python, and JavaScriptIntegrates Monte Carlo and molecular dynamics simulations and other numerical techniquesSelf-contained introductions to thermodynamics and probability, including Bayes' theoremA fuller discussion of magnetism and the Ising model than other undergraduate textsTreats ideal classical and quantum gases within a uniform frameworkFeatures a new chapter on transport coefficients and linear response theoryDraws on findings from contemporary researchSolutions manual (available only to instructors). Nº de ref. del artículo: LU-9780691201894
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Hardcover. Condición: new. Hardcover. A completely revised edition that combines a comprehensive coverage of statistical and thermal physics with enhanced computational tools, accessibility, and active learning activities to meet the needs of today's students and educatorsThis revised and expanded edition of Statistical and Thermal Physics introduces students to the essential ideas and techniques used in many areas of contemporary physics. Ready-to-run programs help make the many abstract concepts concrete. The text requires only a background in introductory mechanics and some basic ideas of quantum theory, discussing material typically found in undergraduate texts as well as topics such as fluids, critical phenomena, and computational techniques, which serve as a natural bridge to graduate study.Completely revised to be more accessible to studentsEncourages active reading with guided problems tied to the textUpdated open source programs available in Java, Python, and JavaScriptIntegrates Monte Carlo and molecular dynamics simulations and other numerical techniquesSelf-contained introductions to thermodynamics and probability, including Bayes' theoremA fuller discussion of magnetism and the Ising model than other undergraduate textsTreats ideal classical and quantum gases within a uniform frameworkFeatures a new chapter on transport coefficients and linear response theoryDraws on findings from contemporary researchSolutions manual (available only to instructors) This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780691201894
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