The theory of computation provides a foundational understanding of what can be computed and how efficiently it can be done. It explores fundamental concepts such as algorithms, complexity, and computability, which are essential for designing efficient software and understanding the limits of computation. Additionally, it informs various fields such as computer science, Artificial Intelligence, and cryptography, guiding the development of new technologies and problem-solving strategies. Overall, it equips computer scientists with the tools to analyze and optimize computational processes.
Whole number computation is 90% of decimal computation. The difference is that you need to understand where to put the decimal point in the answer. It's impossible to do decimal computation without knowing how to do whole number computation.
A bachelors in math may be theoretical or applied. Theoretical has to do with computation of abstract thought such as probability, chaos theory, Calculus theory, etc.Applied math has to do with things like engineering, computational biology, computer math and the like.
The word computation is a noun for the act of calculating numbers, compiling numeric results. Example sentence: My computation shows that the cheaper material does not save money in the long run.
Alan Turing did not specify a single year for proving that a stream of 1's and 0's could solve any problem, but his foundational work in computability and the concept of the Turing machine began in 1936. In his paper "On Computable Numbers, with an Application to the Entscheidungsproblem," Turing demonstrated that a machine could simulate any computation, laying the groundwork for the theory of computation and digital computation as we understand it today.
what did you do to get the answer of the problem.
a computer is what?? it is simply a machine made of hardware??but why we need computer....the answer is we need computer to perform computation on a specific task....how this computation will occur in the computer is defined by a set of rules ...to understand these rules ,we need to study theory of computation.... theory drives practice and practice drives theory....to make efficient machines for computation tasks we need to study theory of computation.
nowhere
buger
Its a theory specially addressed to computing students and programming developers.
No, theory of computation is purely in the realm of computer science theory. It deals with the fundamental computational ideas underpinning computer science. Some computer scientist never even fully learn the subject. As a hacker, unless a very good one, who wants to delve more into computer science, there is no requirement to learn it.
The theory of computation studies how machines solve problems. Formal languages are used to describe the structure of data. Automata are abstract machines that recognize patterns in input. Complexity theory analyzes the resources needed to solve problems. These areas are interconnected, as automata can recognize formal languages, which are used in the theory of computation to analyze problem complexity.
Whole number computation is 90% of decimal computation. The difference is that you need to understand where to put the decimal point in the answer. It's impossible to do decimal computation without knowing how to do whole number computation.
We'll need a choice here.
In simple words to learn any natural language like ENGLISH, HINDI,FRENCH.... firstly we need to learn the vocabulary and grammar of that language. That means we have to learn how the language is actually specified. In the same way programming languages(formal languages) like C,C++, JAVA.... has their own vocabulary and grammar and such grammar is specified with the help of mathematical model that is called as Theory of Computation.
The introduction to the theory of computation is significant in understanding computer science principles because it provides a foundation for understanding how computers work and what they can and cannot do. It helps in analyzing algorithms, designing efficient solutions, and predicting the behavior of computational systems. This theory also forms the basis for studying complexity, automata theory, and formal languages, which are essential concepts in computer science.
Harold Simmons has written: 'Derivation and computation' -- subject(s): Curry-Howard isomorphism, Lambda calculus, Proof theory, Type theory
A need to calculate, or to solve mathematical problems by crunching numbers or by computation.