This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual understandings, and applies them in diverse settings. Mathematical Modeling and Applied Calculus will develop the insights and skills needed to describe and model many
different aspects of our world. This textbook provides an excellent introduction to the process of mathematical modeling, the method of least squares, and both differential and integral calculus, perfectly meeting the needs of today's students.
Mathematical Modeling and Applied Calculus
provides a modern outline of the ideas of Calculus and is aimed at those who do not intend to enter the traditional calculus sequence. Topics that are not traditionally taught in a one-semester Calculus course, such as dimensional analysis and the method of least squares, are woven together with the
ideas of mathematical modeling and the ideas of calculus to provide a rich experience and a large toolbox of mathematical techniques for future studies. Additionally, multivariable functions are interspersed throughout the text, presented alongside their single-variable counterparts. This text
provides a fresh take on these ideas that is ideal for the modern student.
1. Functions for Modeling Data
1.1 Functions
1.2 Multivariable Functions
1.3 Linear Functions
1.4 Exponential Functions
1.5 Inverse Functions
1.6 Logarithmic Functions
1.7 Trigonometric Functions
2. Mathematical Modeling
2.1 Modeling with Linear
Functions
2.2 Modeling with Exponential Functions
2.3 Modeling with Power Functions
2.4 Modeling with Sine Functions
2.5 Modeling with Sigmoidal Functions
2.6 Single Variable Modeling
2.7 Dimensional Analysis
3. The Method of Least Squares
3.1 Vectors and Vector
Operations
3.2 Linear Combinations of Vectors
3.3 Existence of Linear Combinations
3.4 Vector Projection
3.5 The Method of Least Squares
4. Derivatives
4.1 Rates of Change
4.2 The Derivative as a Function
4.3 Derivatives of Modeling Functions
4.4 Product and
Quotient Rules
4.5 The Chain Rule
4.6 Partial Derivatives
4.7 Limits and the Derivative
5. Optimization
5.1 Global Extreme Values
5.2 Local Extreme Values
5.3 Concavity and Extreme Values
5.4 Newton's Method and Optimization
5.5 Multivariable Optimization
5.6
Constrained Optimization
6. Accumulation and Integration
6.1 Accumulation
6.2 The Definite Integral
6.3 First Fundamental Theorem
6.4 Second Fundamental Theorem
6.5 The Method of Substitution
6.6 Integration by Parts
There are no Instructor/Student Resources available at this time.
Joel M. Kilty joined the faculty of Centre College, a US News Top 50 Liberal Arts College, as an Assistant Professor of Mathematics in 2009, receiving tenure and promotion to the rank of Associate Professor in 2015. In 2017 he was named the Elizabeth Molloy Dowling Associate Professor of
Mathematics. He received his Ph.D. and M.A. degrees in mathematics from the University of Kentucky in 2009 and 2006 respectively, and his B.A. degree in mathematics from Asbury College in 2004. He has published several research articles in the field of differential equations is an active member of
the Mathematical Association of America.
Alex M. McAllister joined the Centre College faculty in 1999, and he has taught mathematics to undergraduates at the University of Notre Dame, Dartmouth College, and Centre College. He was awarded the H.W. Stodghill Jr. and Adele H. Stodghill
Professorship in Mathematics in 2015 and the Mathematical Association of America's Kentucky Section Teaching Award in 2015. His scholarly interests include mathematical logic and foundations, computability theory, and the history of mathematics. McAllister earned a B.S. from Virginia Polytechnic
Institute and State University, and a Ph.D. from the University of Notre Dame.
Making Sense - Margot Northey and Joan McKibbin
