For many purposes the question **‘How to find the end of a function?**‘ is easy to answer. You just need to know how to measure a function, cast the curve on a spreadsheet and find the value of your objective function at every point along the curve. That is pretty much it. However, I promise you that this is where the real problems begin.

In order to understand ‘**How to find the end behavior of a function’**, you must first of all grasp what a curve is and what exactly it represents. Curve: A curve is a line on a graph that describes a surface (like the x-axis on a plane), or the changes in a variable (like the y-axis on a plot). Curve relationships are usually a good indicator of change. For instance, a straight line on a graph representing sales (the y-axis) could be thought of as a curve with ‘no end’ at any point along the range.

Function: A function f is an abstract object that displays some output that is desired by the user. In computer graphics this is usually denoted by a symbol. A curve on a plot could be considered a function of time or cost, or a function of some other indicator. Functions can be viewed in terms of their derivatives (i.e. the product of two or more derivatives).

As stated above, the most obvious meaning of ‘end’ is a measurable end, such as an end point in a function. More subtle is the idea that the end of a function might be a curve. For instance, if a line is graphed out from start to finish, then you have a graph of a function. Graphs of functions are called closed curves because there is no final curve for the function to graph.

Continuous Curve: A continuous curve in graphing is one in which every point on the curve represents some prior value. The slope of a continuous curve can be thought of as a function of time or cost, but it cannot exist at the point of observation.

The graph is called closed (or nearly closed) if all points on the curve lie on the x-axis, and the slope is positive. **How to find the end behavior of a function** like this is to find the slope at each point along the curve, average them, and determine if it lies on the x-axis.

Conclusion In the previous lesson we saw **how to find the end behavior of a function**. In this lesson we saw how to find the behavior when it is not the case. The example of function that we used in the last lesson was the log function.

In this lesson we will see more general cases. One such example is a mean or median function. In general cases, a mean or median function approximates the mean, by calculating the arithmetic mean of the inputs, taking the square root of the result, and dividing by the number of inputs.

## Behavior Of A Function

The behavior of a function may be categorized as both internal and external, i.e., it may be internal in the sense that it is determined by how it performs well, while it may be external in the sense that it is influenced by external factors such as its environment. Thus, if an object has no behavior of a function at all, it does not have any way to determine how well it performs and whether it will perform well.

Likewise, a function whose behavior is determined by some other factor such as a law or a set of rules may not have any behavior at all. In these cases, we often observe the behavior of a function as a result of its environment and not as a result of its inner nature.

As a result of the many questions that surround the behavior of a function, a great deal of research has been done on the subject. A great deal of progress has been made on understanding behavior of a function as a function of its inner structure. The results of this research are not very consistent, but a lot of progress has been made, especially in the area of logic.

Some functions, notably those involved with higher learning, have turned out to be completely analytically based, determining not only behavior of a function but also its inner structure.

Many functions are studied under the context of models of cognitive and linguistic organization. One of the most common models is the one presented in Davidson’s cognitive science model of language. The main focus of this model is the role of behavior of a function as a reflection of the internal structure of the language used by the person who uses the function.