Applied Calculus with R

2023
ISBN: 978-3-031-28570-7
Verlag: Springer International Publishing

Buch, Englisch, 532 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1080 g

This textbook integrates scientific programming with the use of R and uses it both as a tool for applied problems and to aid in learning calculus ideas.  Adding R, which is free and used widely outside academia, introduces students to programming and expands the types of problems students can engage. There are no expectations that a student has any coding experience to use this text.
While this is an applied calculus text including real world data sets, a student that decides to go on in mathematics should develop sufficient algebraic skills so that they can be successful in a more traditional second semester calculus course. Hopefully, the applications provide some motivation to learn techniques and theory and to take additional math courses. The book contains chapters in the appendix for algebra review as algebra skills can always be improved. Exercise sets and projects are included throughout with numerous exercises based on graphs.

Zielgruppe

Graduate

Autoren/Hrsg.

Pfaff, Thomas J.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

A Brief Introduction to R.- Describing a Graph.- The Function Gallery.- I: Change and the Derivative.- How Fast is CO2 Increasing?.- The Idea of the Derivative.- Formulas Quantifying Change.-The Microscope Equation.- Successive Approximations to Estimate Derivatives.- The Derivative Graphically.- The Formal Derivative as a Limit.- Basic Derivative Rules.- Produce Rule.- Quotient Rule.- Chain Rule.- Derivatives with R.- End Behavior of a Function - L'Hospital's Rule.- II: Applications of the Derivative.- How Do We Know the Shape of a Function?.- Finding Extremes.- Optimization.- Derivatives of Functions of Two Variables.- Related Rates.- Surge Function.- Differential Equations - Preliminaries.- Differential Equations - Population Growth Models.- Differential Equations - Predator Prey.- Differential equations - SIR Model.- Project: The Gini Coefficient - Prelude to Section III.- III: Accumulation and the Integral.- Area Under Curves.- The Accumulation Function.- The Fundamental Theorem of Calculus.- Techniques of Integration - The u Substitution.- Techniques of Integration - Integration by Parts.- IV: Appendices - Algebra Review.- Algebra Review - Functions and Graphs.- Algebra Review - Adding and Multiplying Fractions.- Algebra Review - Exponents.- Algebra Review - Lines.- Algebra Review - Expanding, Factoring, and Roots.- Algebra Review - Function Composition.- Glossary.- Answers to Odd Problems.- R Code for Figures.

Über Autor(innen)

Thomas J. Pfaff is chair and professor of mathematics at Ithaca College and previously served as the all-college Honors director. He maintains the blog and website sustainabiliytmath.org and is the author of R for College Mathematics and Statistics.