LEADER 03777nam 22006615 450 001 9911018763403321 005 20250806170206.0 010 $a9783031905223$b(electronic bk.) 010 $z9783031905216 024 7 $a10.1007/978-3-031-90522-3 035 $a(MiAaPQ)EBC32253190 035 $a(Au-PeEL)EBL32253190 035 $a(CKB)40083238200041 035 $a(DE-He213)978-3-031-90522-3 035 $a(EXLCZ)9940083238200041 100 $a20250806d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSymbolic Mathematics with Python /$fby Hugo D. Junghenn 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (180 pages) 225 1 $aSynthesis Lectures on Mathematics & Statistics,$x1938-1751 311 08$aPrint version: Junghenn, Hugo D. Symbolic Mathematics with Python Cham : Springer,c2025 9783031905216 327 $aPython Essentials -- Number Theory -- Rational Arithmetic -- Matrix Algebra -- Polynomial Algebra -- Polynomial Applications -- Multivariate Rational Algebra -- Differentiation -- Integration. 330 $aThis book provides a hands-on approach to computer symbolic computation using the elementary commands of Python. Symbolic computer mathematics is the study of algorithms that can be implemented as computer programs which provide exact results rather than numerical approximations. The author begins by discussing Python essentials an number theory. Then, the book covers the simplification and evaluation of expressions involving multivariate rational functions, the exact solutions of systems of linear equations, and applications of polynomial algebra. Programs in symbolic differentiation and indefinite integration programs are also developed. In addition, this book: Explains symbolic computer mathematics from a practical perspective rather than an abstract point of view Provides an essential resource for students and professionals in mathematics and computer science Highlights the various ways that readers can implement the techniques for real-world applications About the Author Hugo D. Junghenn, Ph.D., is Emeritus Professor of Mathematics at George Washington University. He has previously served as the chair of the Department of Mathematics. Dr. Junghenn has written papers in the areas of functional analysis and topological semigroups, books in analysis, and a recent book on programming discrete mathematics. 410 0$aSynthesis Lectures on Mathematics & Statistics,$x1938-1751 606 $aComputer science$xMathematics 606 $aMathematics$xData processing 606 $aNumber theory 606 $aMathematics 606 $aMathematics of Computing 606 $aComputational Mathematics and Numerical Analysis 606 $aComputational Number Theory 606 $aMathematical Applications in Computer Science 606 $aSymbolic and Algebraic Manipulation 606 $aMathematics 615 0$aComputer science$xMathematics. 615 0$aMathematics$xData processing. 615 0$aNumber theory. 615 0$aMathematics. 615 14$aMathematics of Computing. 615 24$aComputational Mathematics and Numerical Analysis. 615 24$aComputational Number Theory. 615 24$aMathematical Applications in Computer Science. 615 24$aSymbolic and Algebraic Manipulation. 615 24$aMathematics. 676 $a004.0151 700 $aJunghenn$b Hugo D$041907 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911018763403321 996 $aSymbolic Mathematics with Python$94413630 997 $aUNINA