The fuzzy real-valued sequence denotes the value of the function at and is called the th term of the sequence.
The object which serves as the reference for the name generated by an application of a functional expression to its arguments is called the value of the function for these arguments.
For our problem here, the Laplacian operator on a function at a given point is 1/4 times the value of the function at each of the four neighboring points minus the value of the function at the given point.
Unfortunately for this example, Riemann's integral is based on the assumption that over sufficiently small intervals the value of the function changes by only a very small amount.
The problem with his method was that vertical direction: vertical slices permit wild variation in the value of the function within a slice.
Associated with any function f(t) is a graph in which the horizontal axis represents the variable t and the vertical axis represents the value of the function.
There is said to be a certain function of n arguments (or, of degree n) when there is a rule that specifies a unique object (called the value of the function) whenever all the arguments are specified.
Then that part of the graph of f corresponding to a given horizontal slice will have a well-defined approximate area, found by multiplying the value of the function that determines the slice by the "length" of the set of x whose functional values lie inside that slice.
(ii) Function evaluation: approximate the value of the function using a polynomial within the small interval.
The value of the function f at the grid point is (f_{i} =f ( t_{i} )).
The value of the function is an image intensity that is between 0 and 255.
