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.
Algorithms on graphs, excluding heuristics.
Questions related to combinatorics and discrete mathematical structures
Questions related to NP-hardness and NP-completeness.
Computational complexity classes and their relations
Computational and mathematical logic.
Questions about approximation algorithms.
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
Computability theory a.k.a. recursion theory.
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.
Time complexity of decision problems or relations among time-bounded complexity classes. (Use the [analysis-of-algorithms] tag for the time taken by particular algorithms.)
Theoretical questions about Machine learning, especially Computational Learning Theory, including Algorithmic Learning Theory, PAC learning, and Bayesian Inference
a syntactic discipline for enforcing levels of abstraction.
SAT stands for the Boolean satisfiability problem.
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
counting the number of solutions?
Church's formal system used in computatability, programming languages and proof theory to represent effective functions, programs and their computation, and proofs.
Questions in probability theory
a fundamental model of computation, especially in theoretical work.
Linear algebra deals with vector spaces and linear transformations.
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.
Machine learning and learning theory: PAC learning, algorithmic learning theory, and computational aspects of Bayesian inference and graphical models.
Mathematical and computational method for finding the best outcome in a given mathematical model where the list of requirements is represented as linear relationships.