# Computers

Histogram Equalization

Histogram equalization is an image processing technique which transforms an image in a way that the histogram of the resultant image is equally distributed, which in result enhances the contrast of the image. An equalized histogram means that probabilities of all gray levels are equal. In other words, histogram equalization makes an image use all colors in equal proportion.

Newton Raphson Method

Newton Raphson Method is yet another numerical method to approximate the root of a polynomial. Newton Raphson Method is an open method of root finding which means that it needs a single initial guess to reach the solution instead of narrowing down two initial guesses.

Finite Automaton

Finite Automaton is a machine used to recognize patterns. FA accepts or rejects an input based on already defined set of strings known as the language of the automaton.

Bisection Method

Bisection method is a numerical method to find the root of a polynomial. In bisection method we iteratively reach to the solution by narrowing down after guessing two values which enclose the actual solution.

Functional Dependency

If the value of dependent attribute/s is same for some value of the determinant attribute/s in all the tuples then it is a functional dependency.

First Normal Form

In the first normal form a table should have a key and contain atomic values which means that a column should not be used to save a multi-valued attribute or two different types of attributes.

Normalization

Normalization in database is a devised process which tries to make the database design less prone to data anomalies which make the database inefficient and redundant. One can easily make a good database design with some experience but normalization helps to achieve a better possible design; decreasing the odds of some hidden anomaly present in the design.

Entity Relationship Model

Entity Relation Model (ER Model) is one of the conceptual data models in which database design is represented in a diagram to visualize relationships among the different data components referred as entities. ER model primarily focuses on the types of entities, attributes and the relationships among them as well as other relationships.

Databases

Database is a collection of data organized in such a way that a computer can easily retrieve the information. Data refers to facts which are meaningless unless presented in an organized form then it becomes meaningful information. Computer needs highly structured information and that too efficiently accessible and this is what database provides it.

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