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* Computational complexity theory, a field in theoretical computer science and mathematics
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Computational and complexity
Computational complexity theory deals with the relative computational difficulty of computable functions.
Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.
Computational complexity theory | Complexity studies the time taken by algorithm s, such as this Quicksort | sorting routine.
* Computational linguistics – study of linguistic issues in a way that is ' computationally responsible ', i. e., taking careful note of computational consideration of algorithmic specification and computational complexity, so that the linguistic theories devised can be shown to exhibit certain desirable computational properties implementations.
* Mathematics: Approximation theory — Arakelov theory — Asymptotic theory — Bifurcation theory — Catastrophe theory — Category theory — Chaos theory — Choquet theory — Coding theory — Combinatorial game theory — Computability theory — Computational complexity theory — Deformation theory — Dimension theory — Ergodic theory — Field theory — Galois theory — Game theory — Graph theory — Group theory — Hodge theory — Homology theory — Homotopy theory — Ideal theory — Intersection theory — Invariant theory — Iwasawa theory — K-theory — KK-theory — Knot theory — L-theory — Lie theory — Littlewood – Paley theory — Matrix theory — Measure theory — Model theory — Morse theory — Nevanlinna theory — Number theory — Obstruction theory — Operator theory — PCF theory — Perturbation theory — Potential theory — Probability theory — Ramsey theory — Rational choice theory — Representation theory — Ring theory — Set theory — Shape theory — Small cancellation theory — Spectral theory — Stability theory — Stable theory — Sturm – Liouville theory — Twistor theory
* Computational complexity theory – Fundamental bounds ( especially time and storage space ) on classes of computations.
Computational geometry focuses heavily on computational complexity since the algorithms are meant to be used on very large datasets containing tens or hundreds of millions of points.
For a list of algorithms along with complexity estimates, see: Computational complexity of mathematical operations
Computational and theory
Computational and field
Computational linguistics is an interdisciplinary field dealing with the statistical or rule-based modeling of natural language from a computational perspective.
Computational linguistics as a field predates artificial intelligence, a field under which it is often grouped.
Computational linguistics was born as the name of the new field of study devoted to developing algorithms and software for intelligently processing language data.
Computational lexicology as a related field ( in the same way that computational linguistics is related to linguistics ) deals with the computational study of dictionaries and their contents.
When the aims of computational language learning research is to understand more about human language acquisition, or psycholinguistics, NLL overlaps into the related field of Computational Psycholinguistics.
Computational finance is a field in computer science and deals with the data and algorithms that arise in financial modeling.
The NatHaz Modeling Laboratory at the University of Notre Dame is currently conducting an investigation of the flow field around the structure, modeling the tower and the immediate area surrounding it using Computational fluid dynamics ( CFD ).
Computational semiotics is an interdisciplinary field that applies, conducts, and draws on research in logic, mathematics, the theory and practice of computation, formal and natural language studies, the cognitive sciences generally, and semiotics proper.
Computational Linguistics is a peer-reviewed academic journal in the field of computational linguistics.
Before joining the Department of Computer Sciences as the chair, he formed a company, Computational Logic Inc., along with others including his close friend at the University of Texas at Austin and one of the highly regarded professors in the field of Automated Reasoning, Robert S. Boyer.
:" Computational epistemology is an interdisciplinary field that concerns itself with the relationships and constraints between reality, measure, data, information, knowledge, and wisdom " ( Rugai, 2011 )
BAS candidates select a field of specialization in either Biomedical Science, Computer & Cognitive Science, Computer Science, Computational Biology, or an individualized curriculum ( through the Department of Electrical & Systems Engineering ).
Computational epidemiology is a multidisciplinary field utilizing techniques from computer science, mathematics, geographic information science and public health to develop tools and models to aid epidemiologists in their study of the spread of diseases.
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