A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.
P versus NP and other resource-bounded computation.
Questions regarding well-defined instructions for completing a task, and relevant analysis in terms of time/memory/etc.
used when the author needs to know about work related to the question.
the study of graphs, mathematical structures used to model pairwise relations between objects.
Questions related to combinatorics and discrete mathematical structures
formal languages, grammars, automata theory
a question (possibly subjective) about the field of theoretical computer science as opposed to being a question in theoretical computer science.
general questions about selecting a best element from some set of available alternatives.
Quantum computation and computational issues related to quantum mechanics
Automata Theory, including abstract machines, grammars, parsing, grammatical inference, transducers, and finite-state techniques
the study of resource-bounded circuits and the functions computed by such circuits.
Programming languages, in particular, focussing on their semantics.
Properties and applications of data structures, such as space lower bounds, or time complexity of insertion and deletion of objects.
Theoretical questions about Machine learning, especially Computational Learning Theory, including Algorithmic Learning Theory, PAC learning, and Bayesian Inference
Time complexity of decision problems or relations among time-bounded complexity classes. (Use [tag:analysis-of-algorithms] for the time taken by particular algorithms.)
the study of geometric problems from a computational perspective. Examples of problems include: computation of geometric objects such as convex hulls, dimensionality reductio…
Theoretical aspects of cryptography and information security.
questions about lowerbounds on functions, usually the complexity of an algorithm or a problem
Church's formal system used in computatability, programming languages and proof theory to represent effective functions, programs and their computation, and proofs.
Linear algebra deals with vector spaces and linear transformations.
a fundamental model of computation, especially in theoretical work.
Questions about Boolean functions and their analysis
for a "broad, overall view or perspective of an issue or problem."
determined by its input and a generator producing uniformly random numbers.
Mathematical and computational method for finding the best outcome in a given mathematical model where the list of requirements is represented as linear relationships.