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Mathematics: Functions [Hide Descriptions]
Functions
  • Notations
  • Operations on Functions
    • Applet 2 (Graphs of f+g, f-g, f*g, and f/g)
  • Symmetry
    • Applet 3 (Odd and Even Functions) : Test if a function is odd or even by looking at the graphs of f(-x) and -f(-x)
  • New Functions from Old
    • Applet 4 (Stretching and Compression of a Function) : Look at the graph of A*f(B*x) and observe the effects of changing A and B.
    • Applet 5 (Translation of a Function) : Look at the graph of A+f(B+x) and observe the effects of changing A and B.
    • Applet 6 (New Functions from Old) : Make new functions from old ones by reflecting, translating and stretching.
    • Applet 7 (New Functions from Old Game) : For a function out of a list, there is a proposed target function that can be obtained by performing a sequence of transformations on the given function. In each example you have to find such a sequence of transformations that make the graphs coincide.
  • Symmetry
  • New Functions from Old
    • Self Test 2 (Quiz on Transformation of Functions) : Determine the relationship between two graphs where one is f(x) and the other is A*f(x) or f(A*x), or f(x)+B, or f(x+B) etc. Comes with instant checking.
    • Applet 8 (Function Composition)
  • Trigonometric Functions
    • Applet 9 (Defining sin(x) and cos(x) on a circle)
  • Trigonometric Identities
    • Applet 10 (Trigonometric Identities) : Choose a target function, and then choose a basic function that you believe can be transformed into the target through a series of transformations -- stretching, shifting, or reflections.
  • Exponents
  • Logarithms
    • Applet 12 (Introduction to Log Functions) : A step by step introduction to log functions with interactive graphs.
    • Applet 13 (Logarithms)
  • Inverse of Functions
  • Intersection of Two Functions
  • Overview
  • Least Squares Approximation
    • Applet 18 (Least Squares Approximation) : This applet explores fitting a polynomial p(x) of degree n to a given set of data points. It computes the best least squares approximation to the data, "best" in the sense that SUM (p(xi) - yi)^2 is minimized.
  • Word Problems

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