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Joel Chaskalovic is a Professor of Applied Mathematics at the University Pierre and Marie Curie in Paris and has written books and published papers in highly ranked journals, including the French Sciences Academy Journal, Journal of Computational Physics, journals in medicine etc.
This reflects the wide spectrum of his research work, which focuses on non-linear mathematical modeling and data mining techniques applied to fluid and solid mechanics, numerical analysis, complexity and randomness, biology and medicine, marketing, media and communication. Professor Chaskalovic has held numerous lectures on all of these topics at conferences worldwide.
Self-learning and self-tutorial pedagogical book
Provides students of engineering disciplines and mathematics the mathematical basis of systems of partial differential equations
Uses a unique teaching method which explains the analysis using exercises and detailed solutions
Enables active learning
Includes supplementary material: [...]
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Mathematical Engineering |
Inhalt: |
xiv
358 S. 38 s/w Illustr. 358 p. 38 illus. |
ISBN-13: | 9783319375564 |
ISBN-10: | 3319375563 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Chaskalovic, Joël |
Auflage: | Softcover reprint of the original 1st ed. 2014 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Mathematical Engineering |
Maße: | 235 x 155 x 21 mm |
Von/Mit: | Joël Chaskalovic |
Erscheinungsdatum: | 23.08.2016 |
Gewicht: | 0,563 kg |
Joel Chaskalovic is a Professor of Applied Mathematics at the University Pierre and Marie Curie in Paris and has written books and published papers in highly ranked journals, including the French Sciences Academy Journal, Journal of Computational Physics, journals in medicine etc.
This reflects the wide spectrum of his research work, which focuses on non-linear mathematical modeling and data mining techniques applied to fluid and solid mechanics, numerical analysis, complexity and randomness, biology and medicine, marketing, media and communication. Professor Chaskalovic has held numerous lectures on all of these topics at conferences worldwide.
Self-learning and self-tutorial pedagogical book
Provides students of engineering disciplines and mathematics the mathematical basis of systems of partial differential equations
Uses a unique teaching method which explains the analysis using exercises and detailed solutions
Enables active learning
Includes supplementary material: [...]
Erscheinungsjahr: | 2016 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Mathematical Engineering |
Inhalt: |
xiv
358 S. 38 s/w Illustr. 358 p. 38 illus. |
ISBN-13: | 9783319375564 |
ISBN-10: | 3319375563 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Chaskalovic, Joël |
Auflage: | Softcover reprint of the original 1st ed. 2014 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Mathematical Engineering |
Maße: | 235 x 155 x 21 mm |
Von/Mit: | Joël Chaskalovic |
Erscheinungsdatum: | 23.08.2016 |
Gewicht: | 0,563 kg |