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  • https://math.libretexts.org/Bookshelves/Calculus/Calculus_(Guichard)/02%3A_Instantaneous_Rate_of_Change-_The_Derivative/2.03%3A_Limits
    In the previous two sections we computed some quantities of interest (slope, velocity) by seeing that some expression "goes to'' or "approaches'' or "gets really close to'' a particular value. In the ...In the previous two sections we computed some quantities of interest (slope, velocity) by seeing that some expression "goes to'' or "approaches'' or "gets really close to'' a particular value. In the examples we saw, this idea may have been clear enough, but it is too fuzzy to rely on in more difficult circumstances. In this section we will see how to make the idea more precise.
  • https://math.libretexts.org/Bookshelves/Calculus/Calculus_3e_(Apex)/01%3A_Limits/1.04%3A_One_Sided_Limits
    The previous section gave us tools (which we call theorems) that allow us to compute limits with greater ease. Chief among the results were the facts that polynomials and rational, trigonometric, expo...The previous section gave us tools (which we call theorems) that allow us to compute limits with greater ease. Chief among the results were the facts that polynomials and rational, trigonometric, exponential and logarithmic functions (and their sums, products, etc.) all behave "nicely.'' In this section we rigorously define what we mean by "nicely.''
  • https://math.libretexts.org/Learning_Objects/GeoGebra_Simulations/Intuitive_Notion_of_the_Limit_-_One-Sided_Limits_(GeoGebra)
    Limits: Intuitive Notion of the Limit - One-Sided Limits

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