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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.

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