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000 camMi
001 2210080898662
003 OCoLC
005 20210225115151
006 m d
007 cr |n|||||||||
008 200913s2019 maua ob 001 0 eng d
020 a9780262355100q(electronic bk.)
020 a0262355108q(electronic bk.)
020 z9780262537711
020 z0262537710
035 a2617550b(NT)
035 a(OCoLC)1194956672
040 aYDXbengcYDXdRECBKdOCLCOdNd221008
050 aQC20.7.D55
082 a530.8223
100 aSantiago, Juan G.,eauthor.
245 00 aA first course in dimensional analysish[electronic resource] :bsimplifying complex phenomena using physical insight /cJuan G. Santiago.
260 aCambridge, Massachusetts :bThe MIT Press,c[2019]
300 a1 online resource
520 aAn introduction to dimensional analysis, a method of scientific analysis used to investigate and simplify complex physical phenomena, demonstrated through a series of engaging examples. This book offers an introduction to dimensional analysis, a powerful method of scientific analysis used to investigate and simplify complex physical phenomena. The method enables bold approximations and the generation of testable hypotheses. The book explains these analyses through a series of entertaining applications; students will learn to analyze, for example, the limits of world-record weight lifters, the distance an electric submarine can travel, how an upside-down pendulum is similar to a running velociraptor, and the number of Olympic rowers required to double boat speed. The book introduces the approach through easy-to-follow, step-by-step methods that show how to identify the essential variables describing a complex problem; explore the dimensions of the problem and recast it to reduce complexity; leverage physical insights and experimental observations to further reduce complexity; form testable scientific hypotheses; combine experiments and analysis to solve a problem; and collapse and present experimental measurements in a compact form. Each chapter ends with a summary and problems for students to solve. Taken together, the analyses and examples demonstrate the value of dimensional analysis and provide guidance on how to combine and enhance dimensional analysis with physical insights. The book can be used by undergraduate students in physics, engineering, chemistry, biology, sports science, and astronomy.
590 aMaster record variable field(s) change: 050, 082, 650
650 aDimensional analysisvTextbooks.
650 aMathematical analysisvTextbooks.
650 aTechnology.
650 aTECHNOLOGY & ENGINEERING / General.2bisacsh
655 aElectronic books.
776 iPrint version:z9780262537711z0262537710w(DLC) 2018060953w(OCoLC)1081337939
856 3EBSCOhostuhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2617550
938 aRecorded Books, LLCbRECEnrbeEB00834906
938 aYBP Library ServicesbYANKn16946418
938 aProQuest Ebook CentralbEBLBnEBL6340829
938 aEBSCOhostbEBSCn2617550
994 a92bN
A first course in dimensional analysis[electronic resource] :simplifying complex phenomena using physical insight /Juan G. Santiago
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전자책
서명
A first course in dimensional analysis[electronic resource] :simplifying complex phenomena using physical insight /Juan G. Santiago
저자명
발행사항
Cambridge, Massachusetts : The MIT Press [2019]
형태사항
1 online resource
주기사항
An introduction to dimensional analysis, a method of scientific analysis used to investigate and simplify complex physical phenomena, demonstrated through a series of engaging examples. This book offers an introduction to dimensional analysis, a powerful method of scientific analysis used to investigate and simplify complex physical phenomena. The method enables bold approximations and the generation of testable hypotheses. The book explains these analyses through a series of entertaining applications; students will learn to analyze, for example, the limits of world-record weight lifters, the distance an electric submarine can travel, how an upside-down pendulum is similar to a running velociraptor, and the number of Olympic rowers required to double boat speed. The book introduces the approach through easy-to-follow, step-by-step methods that show how to identify the essential variables describing a complex problem; explore the dimensions of the problem and recast it to reduce complexity; leverage physical insights and experimental observations to further reduce complexity; form testable scientific hypotheses; combine experiments and analysis to solve a problem; and collapse and present experimental measurements in a compact form. Each chapter ends with a summary and problems for students to solve. Taken together, the analyses and examples demonstrate the value of dimensional analysis and provide guidance on how to combine and enhance dimensional analysis with physical insights. The book can be used by undergraduate students in physics, engineering, chemistry, biology, sports science, and astronomy.
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