Mathematics as a Tool Tracing New Roles of Mathematics in the Sciences /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lenhard, Johannes (Επιμελητής έκδοσης), Carrier, Martin (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Boston Studies in the Philosophy and History of Science, 327
• Θέματα: Environment.; History.; Philosophy and science.; Mathematics.; Environmental sciences.; Math. Appl. in Environmental Science.; History of Science.; Philosophy of Science.; History of Mathematical Sciences.

This book puts forward a new role for mathematics in the natural sciences. In the traditional understanding, a strong viewpoint is advocated, on the one hand, according to which mathematics is used for truthfully expressing laws of nature and thus for rendering the rational structure of the world. I...

Πίνακας περιεχομένων:

• Chapter 1. Introduction (Johannes Lenhard)
• Part 1. Organizing Science
• Chapter 2. Rational and Empirical Cultures of Prediction (Ann Johnson)
• Chapter 3. Mathematization in Synthetic Biology: Analogies, Templates, and Fictions (Tarja Knuuttila)
• Chapter 4. Trigonometry, Construction by Straightedge and Compass, and the applied mathematics of the Almagest (Ido Yavetz)
• Chapter 5. Shaping Mathematics as a Tool: The Search for a Mathematical Model of Quasi-Crystals (Henrik Kragh Sørensen)
• Part 2. Conceptual Re-Evaluation
• Chapter 6. Boon and Bane: On the Role of Adjustable Parameters in Simulation Models (Hans Hasse)
• Chapter 7. Systems Biology in the Light of Uncertainty: The Limits of Computation (Miles MacLeod)
• Chapter 8. The Vindication of Computer Simulations (Nicolas Fillion)
• Chapter 9. Empirical Bayes as a Tool (Anouk Barberousse)
• Part 3. Reflections on the Tool Character
• Chapter 10. On the Epistemic and Social Foundations of Mathematics as Tool and Instrument in Observatories, 1793–1846 (David Aubin)
• Chapter 11. Approaching Reality by Idealization: How Fluid Resistance Was Studied By Ideal Flow Theory (Michael Eckert)
• Chapter 12. Idealizations in Empirical Modeling (Julie Jebeile)
• Chapter 13. Forcing Optimality and Brandt’s Principle (Domenio Napoletani)
• Chapter 14. Object Oriented Methods vs. Data Analysis: Is this the Right Alternative? (Jürgen Jost).