An "algorithm" is simply a term used for a method to solve a certain problem, often by a computer - that makes algorithms EXTREMELY important. Roughly speaking, every time you do ANYTHING on a computer, the computer runs several algorithms.
An algorithm is the process by which you solve a problem
To help people find the weakness of the algorithm
this algorithm is initially made for small embedded applications like smart cards
Eigenvectors and eigenvalues are important for understanding the properties of expander graphs, which I understand to have several applications in computer science (such as derandomizing random algorithms). They also give rise to a graph partitioning algorithm. Perhaps the most famous application, however, is to Google's PageRank algorithm.
The term "analysis of algorithms" was coined by Donald Knuth. Algorithm analysis is an important part of a broader computational complexity theory, which provides theoretical estimates for the resources needed by any algorithm which solves a given computational problem.
Algorithms are the foundation of computer Science, it is telling the computer to do the task in the most efficient matter. An algorithm is particularly important in optimizing a computer program, the efficiency of the algorithm usually determines the efficiency of the program as a whole.
Divide and conquer is computer science. It is an important algorithm design.
They are different because standard algorithm is more common then the expanded algorithm
There are two main reasons we analyze an algorithm: correctness and efficiency. By far the most important reason to analyze an algorithm is to make sure it will correctly solve your problem. If our algorithm doesn't work, nothing else matters. So we must analyze it to prove that it will always work as expected. We must also look at the efficiency of our algorithm. If it solves our problem, but does so in O(nn) time (or space!), then we should probably look at a redesign.
Here is the algorithm of the algorithm to write an algorithm to access a pointer in a variable. Algorithmically.name_of_the_structure dot name_of_the _field,eg:mystruct.pointerfield
Black and White bakery algorithm is more efficient.
Complexity of an algorithm is a measure of how long an algorithm would take to complete given
The minimax algorithm is a very important part of AI. This is an example using the word minimax.
An algorithm is a series of steps leading to a result. A flowchart can be a graphical representation of the algorithm.
By preparing test cases we can test an algorithm. The algorithm is tested with each test case.
what is algorithm and its use there and analyze an algorithm