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Peer reviewedByrkit, Donald R. – Mathematics Teacher, 1971
Descriptors: Geometric Concepts, Geometry, Graphs, Mathematical Concepts
Peer reviewedWallis, W. D. – Australian Mathematics Teacher, 1972
Descriptors: Geometric Concepts, Geometry, Graphs, Instructional Materials
Peer reviewedKauffman, Louis H. – American Mathematical Monthly, 1988
A diagrammatic approach to invariants of knots is the focus. Connections with graph theory, physics, and other topics are included, along with an explanation of how proofs of some old conjectures about alternating knots emerge from this work. (MNS)
Descriptors: College Mathematics, Diagrams, Graphs, Higher Education
Peer reviewedTaffe, William J. – Mathematics Teacher, 1978
Estimating the weight of large pumpkins before harvest presents an opportunity for applying several diverse mathematical topics. A model that allows an estimation by easy tape measurement is derived. (MP)
Descriptors: Graphs, Instruction, Mathematical Enrichment, Mathematical Models
Peer reviewedvon Baravalle, Hermann – Mathematics Teacher, 1970
Descriptors: Analytic Geometry, Geometric Concepts, Geometry, Graphs
Mathematical Gazette, 1971
This column contains brief notes on graphing in three dimensions; patterns in Pascal's triangle; plotting graphs by computer; and an application of the hypocycloid. (MM)
Descriptors: Calculus, Computers, Geometry, Graphs
Peer reviewedSchoenfeld, Alan H. – College Mathematics Journal, 1989
Solves the problem of defining a smooth piecewise linear approximation to a given function. Discusses some alternative approaches to the problem. (YP)
Descriptors: Algebra, Calculus, College Mathematics, Graphs
Peer reviewedMartin, Kathleen – School Science and Mathematics, 1989
Describes an activity which uses the computer to produce an environment that encourages an inductive reasoning approach to ratio and proportion through a billiard ball simulation. Provides examples of graphs and bouncing ball data. (RT)
Descriptors: Computer Simulation, Computer Uses in Education, Computers, Experiential Learning


