LEADER 03899nam 22006495 450 001 9910300413903321 005 20230330164030.0 010 $a3-319-19596-4 024 7 $a10.1007/978-3-319-19596-4 035 $a(CKB)3710000000416877 035 $a(SSID)ssj0001501452 035 $a(PQKBManifestationID)11896723 035 $a(PQKBTitleCode)TC0001501452 035 $a(PQKBWorkID)11536286 035 $a(PQKB)10489627 035 $a(DE-He213)978-3-319-19596-4 035 $a(MiAaPQ)EBC6310583 035 $a(MiAaPQ)EBC5586561 035 $a(Au-PeEL)EBL5586561 035 $a(OCoLC)910628849 035 $a(PPN)186027575 035 $a(EXLCZ)993710000000416877 100 $a20150529d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aElementary Mechanics Using Python $eA Modern Course Combining Analytical and Numerical Techniques /$fby Anders Malthe-Sørenssen 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XIII, 590 p. 256 illus., 180 illus. in color.) 225 1 $aUndergraduate Lecture Notes in Physics,$x2192-4791 300 $aIncludes index. 311 $a3-319-19595-6 327 $aIntroduction -- Getting started with programming -- Units and measurement -- Motion in one dimension -- Forces in one dimension -- Motion in two and three dimensions -- Forces in two and three dimensions -- Constrained motion -- Forces and constrained motion -- Work -- Energy -- Momentum, impulse, and collisions -- Multiparticle systems -- Rotational motion -- Rotation of rigid bodies -- Dynamics of rigid bodies -- Proofs -- Solutions -- Index. 330 $aThis book ? specifically developed as a novel textbook on elementary classical mechanics ? shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks. Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts. While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Python, and a chapter devoted to the basics of scientific programming with Python is included. A parallel edition using Matlab instead of Python is also available. Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions. 410 0$aUndergraduate Lecture Notes in Physics,$x2192-4791 606 $aMechanics 606 $aPhysics 606 $aClassical Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21018 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aMathematical Methods in Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P19013 615 0$aMechanics. 615 0$aPhysics. 615 14$aClassical Mechanics. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aMathematical Methods in Physics. 676 $a530.078 700 $aMalthe-Sørenssen$b Anders$4aut$4http://id.loc.gov/vocabulary/relators/aut$0792273 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300413903321 996 $aElementary Mechanics Using Python$91771550 997 $aUNINA