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Gordon, Sheldon P. – International Journal of Mathematical Education in Science and Technology, 2017
This article uses dynamic software in Excel to demonstrate several ways in which graphical and numerical approaches can be introduced both to enhance student understanding of l'Hopital's Rule and to explain why the Rule actually works to give the "right" answers. One of the approaches used is to visualize what is happening by examining…
Descriptors: Computer Software, Visualization, Calculus, Spreadsheets
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Yang, Yajun; Gordon, Sheldon P. – Mathematics Teacher, 2014
Two points determine a line. Three noncollinear points determine a quadratic function. Four points that do not lie on a lower-degree polynomial curve determine a cubic function. In general, n + 1 points uniquely determine a polynomial of degree n, presuming that they do not fall onto a polynomial of lower degree. The process of finding such a…
Descriptors: Mathematical Formulas, Calculus, Algebra, Mathematical Concepts
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Gordon, Sheldon P. – Mathematics Teacher, 2011
In mathematics, as in baseball, the conventional wisdom is to avoid errors at all costs. That advice might be on target in baseball, but in mathematics, avoiding errors is not always a good idea. Sometimes an analysis of errors provides much deeper insights into mathematical ideas. Certain types of errors, rather than something to be eschewed, can…
Descriptors: Error Patterns, Calculus, Mathematics Instruction, Graphs
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Gordon, Sheldon P. – Mathematics Teacher, 2011
For almost all students, what happens when they push buttons on their calculators is essentially magic, and the techniques used are seemingly pure wizardry. In this article, the author draws back the curtain to expose some of the mathematics behind computational wizardry and introduces some fundamental ideas that are accessible to precalculus…
Descriptors: Data Analysis, Geometric Concepts, Trigonometry, Calculus
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Yang, Yajun; Gordon, Sheldon P. – International Journal of Mathematical Education in Science and Technology, 2011
This article examines the question of finding the best quadratic function to approximate a given function on an interval. The prototypical function considered is f(x) = e[superscript x]. Two approaches are considered, one based on Taylor polynomial approximations at various points in the interval under consideration, the other based on the fact…
Descriptors: Intervals, Concept Formation, Mathematics Instruction, Mathematical Concepts
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Gordon, Sheldon P.; Gordon, Florence S. – International Journal of Mathematical Education in Science and Technology, 2010
One of the most important applications of the definite integral in a modern calculus course is the mean value of a function. Thus, if a function "f" is defined on an interval ["a", "b"], then the mean, or average value, of "f" is given by [image omitted]. In this note, we will investigate the meaning of other statistics associated with a function…
Descriptors: Intervals, Statistics, Calculus, Mathematics Instruction
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Gordon, Sheldon P. – PRIMUS, 2007
We investigate the possibility of approximating the value of a definite integral by approximating the integrand rather than using numerical methods to approximate the value of the definite integral. Particular cases considered include examples where the integral is improper, such as an elliptic integral. (Contains 4 tables and 2 figures.)
Descriptors: Calculus, Mathematics Instruction, Mathematical Concepts, Numbers
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Gordon, Sheldon P. – PRIMUS, 2005
The standard derivative tests for extrema and inflection points from Calculus I can be revisited subsequently from the perspective of Taylor polynomial approximations to provide additional insights into those tests, as well as to extend them to additional criteria. (Contains 3 figures.)
Descriptors: Calculus, Tests, Mathematics Instruction, Theories
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Gordon, Sheldon P.; Gordon, Florence S. – AMATYC Review, 1990
Discusses the application of probabilistic ideas, especially Monte Carlo simulation, to calculus. Describes some applications using the Monte Carlo method: Riemann sums; maximizing and minimizing a function; mean value theorems; and testing conjectures. (YP)
Descriptors: Calculus, College Mathematics, Functions (Mathematics), Higher Education