An algorithm is a set of instructions that a computer follows, generally to accomplish one specific task. These tasks can range from sorting a set of numbers to finding the greatest common denominator of two numbers.
While there is no generally accepted formal definition of "algorithm", an informal definition could be "a process that performs some sequence of operations." For some people, a program is only an algorithm if it stops eventually. For others, a program is only an algorithm if it stops before a given number of calculation steps (http://en.wikipedia.org/wiki/Algorithm).
No. Indeed, algorithms are actually meant for humans, not computers. Computer programmers translate algorithms into working code such that a computer can process the algorithm. The code is actually the implementation of the algorithm, not the algorithm itself.
An algorithm is the soul of a computer program. A code without an algorithm is like a missile without a radar. Like a body without a soul cheers olga lednichenko
For those interested in Computer Science, learning Basic programming language has a few merits. For example, the code will work with a great deal of applications.
Automata, and the related concept of formal languages, is the core of theoretical computer science. They are where the notion of run-time complexity comes from, and are absolutely central to a complete understanding of algorithm design and optimization. While you can (and many people do) write programs without understanding automata and algorithm design, a solid understanding of them both will make you a much better programmer, and save you a lot of time and trouble when you try to work out how to make something run faster.
A program is a detailed set of instructions for a computer to carry out, whle an algorithm is a detailed sequence of steps for carrying out a process.
Computer Scientists have defined three constructs for a structured program or algorithm. Sequence, decision (selection), and repetition.
In computer science, deterministic algorithm is an algorithm which, given a particular input, always produces the same result. This is used to increase the efficiency of machines.
Algorithm is a kind of programming very used on computer science,
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.
The Stony Brook Algorithm Repository is a collection of implementations for fundamental algorithms in computer science, hosted by Stony Brook University. There is no "Stony Brook Algorithm."
It is a basic algorithm for generating lines on computer screen. line is generated between given 2 endpoints
Divide and conquer is computer science. It is an important algorithm design.
ALGOL is a family of programming languages, developed in the 1950s, that was intensely influential on the development of algorithm description computer science.
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.
Generally computer sciences and engineering will require you to take either/or calculus and physics.
In order to learn 'c' language you've the basic knowledge about Computer.
Parallelism is running processes simultaneously to maximize resources for faster processing.Actually, that's incorrect. Parallelism in computer science is a property of an algorithm used to solve a problem. The Parallelism of an algorithm is its ability to be broken into discrete, independent parts which can be operated on separately, then recombined to obtain the answer the algorithm was supposed to provide. The greater the number of discrete parts that the algorithm can be broken into, the higher the Parallelism."Parallelism" can, however, be used to characterize the ability of a processor to work on different tasks at once, in a manner analogous to that of describing the ability of an algorithm to work on different portions of a problem simultaneously.