Buch, Englisch, 247 Seiten, Book w. online files / update, Format (B × H): 156 mm x 232 mm, Gewicht: 383 g
A Problem-Solving Approach to Mathematical Analysis with MATHEMATICA and Maple
Buch, Englisch, 247 Seiten, Book w. online files / update, Format (B × H): 156 mm x 232 mm, Gewicht: 383 g
ISBN: 978-0-85729-054-0
Verlag: Springer
The book contains chapters of structured approach to problem solving in mathematical analysis on an intermediate level. It follows the ideas of G.Polya and others, distinguishing between exercises and problem solving in mathematics.
Interrelated concepts are connected by hyperlinks, pointing toward easier or more difficult problems so as to show paths of mathematical reasoning. Basic definitions and theorems can also be found by hyperlinks from relevant places. Problems are open to alternative formulations, generalizations, simplifications, and verification of hypotheses by the reader; this is shown to be helpful in solving problems.
The book presents how advanced mathematical software can aid all stages of mathematical reasoning while the mathematical content remains in foreground. The authors show how software can contribute to deeper understanding and to enlarging the scope of teaching for students and teachers of mathematics.
Zielgruppe
Upper undergraduate
Autoren/Hrsg.
Fachgebiete
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik Allgemeine Didaktik Naturwissenschaften, Mathematik (Unterricht & Didaktik)
- Mathematik | Informatik Mathematik Mathematik Interdisziplinär Computeralgebra
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
Weitere Infos & Material
Part I Concepts: Mappings, composite and inverse functions.- Infinite sequences.- Periodicity.- Part II Tools: Finite Sums.- Inequalities.- Collocation and least squares methods.- Part III Applications: Maximal and minimal values.- Arcs and curves.- Center of mass and moments.- Miscellaneous.- Part IV Appendix.
