000 03516nam a2200457Ii 4500
001 9781315202099
008 180611s2018 fluab ob 001 0 eng d
020 _a9781315202099
035 _a(OCoLC)1038716253
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aQC20.8
072 7 _aSCI
_x055000
_2bisacsh
072 7 _aMAT
_x004000
_2bisacsh
072 7 _aPH
_2bicscc
082 0 4 _a530.15
_223
100 1 _aLandau, Rubin H.,
_eeauthor.
_919981
245 1 0 _aComputational problems for physics :
_bwith guided solutions using Python /
_cby Rubin H. Landau and Manuel José Páez.
264 1 _aBoca Raton, FL :
_bCRC Press, an imprint of Taylor and Francis,
_c2018.
300 _a1 online resource (408 pages) :
_b137 illustrations.
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
490 1 _aSeries in computational physics
505 0 0 _tchapter 1 Computational Basics for Physics /
_rRubin H. Landau --
_tchapter 2 Data Analytics for Physics /
_rRubin H. Landau --
_tchapter 3 Classical and Nonlinear Dynamics /
_rRubin H. Landau --
_tchapter 4 Wave Equations and Fluid Dynamics /
_rRubin H. Landau --
_tchapter 5 Electricity and Magnetism /
_rRubin H. Landau --
_tchapter 6 Quantum Mechanics /
_rRubin H. Landau --
_tchapter 7 Thermodynamics and Statistical Physics /
_rRubin H. Landau --
_tchapter 8 Biological Models: Population Dynamics and Plant Growth /
_rRubin H. Landau --
_tchapter 9 Additional Entry-Level Problems /
_rRubin H. Landau.
520 3 _aOur future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple) It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features:• Detailed explanations and solutions in various coding languages.• Problems are ranked based on computational and physics difficulty.• Basics of numerical methods covered in an introductory chapter.• Programming guidance via flowcharts and pseudocode.Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics)Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia.
650 7 _aMATHEMATICS / Arithmetic.
_2bisacsh
_910958
650 0 _aMathematical physics.
_911013
650 0 _aPhysics
_vProblems, exercises, etc.
_919982
650 0 _aPhysics
_xComputer simulation.
_919983
650 0 _aPhysics
_xData processing.
_917226
650 0 _aPython (Computer program language)
_96666
650 7 _aSCIENCE / Energy.
_2bisacsh
_97423
650 7 _aSCIENCE / Mechanics / General.
_2bisacsh
_96019
650 7 _aSCIENCE / Physics / General.
_2bisacsh
_97424
700 1 _aPáez, Manuel José,
_eauthor.
_919984
710 2 _aTaylor and Francis.
_910719
776 0 8 _iPrint version:
_z9781138705913
830 0 _aSeries in computational physics.
_919985
856 4 0 _uhttps://www.taylorfrancis.com/books/9781315202099
_zClick here to view.
942 _cEBK
999 _c72245
_d72245