arXiv Computer Science OTHER than cs.AI

cs.AR | Hardware Architecture | Covers systems organization and hardware architecture. Roughly includes material in ACM Subject Classes C.0, C.1, and C.5. The focus is on the design and evaluation of computer hardware components and systems. |

cs.CC | Computational Complexity | Covers models of computation, complexity classes, structural complexity, complexity tradeoffs, upper and lower bounds. Roughly includes material in ACM Subject Classes F.1 (computation by abstract devices), F.2.3 (tradeoffs among complexity measures), and F.4.3 (formal languages), although some material in formal languages may be more appropriate for Logic in Computer Science. Some material in F.2.1 and F.2.2, may also be appropriate here, but is more likely to have Computational Geometry as the primary subject area. |

cs.CE | Computational Engineering, Finance, and Science | Covers applications of computer science to the mathematical modeling of complex systems in the fields of science, engineering, and finance. Papers here are interdisciplinary and applications-oriented, focusing on techniques and tools that enable challenging computational simulations to be performed, for which the use of computers is essential. Roughly includes material in ACM Subject Classes I.6.0, I.6.3, I.6.7, I.6.8, and J.2. |

cs.CG | Computational Geometry | Covers computational geometry and geometric computing. Roughly includes material in ACM Subject Classes I.3.5 and F.2.2. The focus is on algorithms and data structures for geometric problems. |

cs.CL | Computation and Language | Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal languages) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area. |

cs.CR | Cryptography and Security | Covers all areas of cryptography and security including authentication, public key cryptosytems, proof-carrying code, etc. Roughly includes material in ACM Subject Classes D.4.6 and E.3. The area includes theoretical foundations and practical implementations. |

cs.CV | Computer Vision and Pattern Recognition | Covers image understanding, artificial intelligence for machine vision, imaging geometry, and pattern recognition techniques. Roughly includes material in ACM Subject Classes I.2.10, I.4, and I.5. The focus is on processing and analysis of visual data. |

cs.CY | Computers and Society | Covers impact of computers on society, computer ethics, information technology and public policy, legal aspects of computing, etc. Roughly includes material in ACM Subject Classes K.0, K.2, K.3, K.4, K.5, and K.7. The area explores the societal implications of computing technologies. |

cs.DB | Databases | Covers database management, datamining, and data modeling. Roughly includes material in ACM Subject Classes E.2, E.5, H.0, H.2, J.1, and J.3. The focus is on storage, retrieval, and analysis of data. |

cs.DC | Distributed, Parallel, and Cluster Computing | Covers fault-tolerance, distributed algorithms, stabilility, parallel computation, and cluster computing. Roughly includes material in ACM Subject Classes C.1.2, C.1.4, C.2.4, D.1.3, D.4.5, D.4.7, E.1. The area includes systems and algorithms for concurrent computing. |

cs.DL | Digital Libraries | Covers all aspects of the digital library design, including storage, indexing, searching, metadata, dissemination, etc. Roughly includes material in ACM Subject Class H.3.7. The focus is on digital information systems and archives. |

cs.DM | Discrete Mathematics | Covers combinatorics, graph theory, applications of probability. Roughly includes material in ACM Subject Classes G.2 and G.3. The area deals with discrete structures and their properties. |

cs.DS | Data Structures and Algorithms | Covers data structures and analysis of algorithms. Roughly includes material in ACM Subject Classes E.1, E.2, F.2.1, and F.2.2. The focus is on efficient computation and data management. |

cs.ET | Emerging Technologies | Covers models, theory, and algorithms for new computing technologies, including molecular computing, nano computing, self-assembly, quantum computing, etc. The area explores future computing paradigms. Key topics include quantum information and bio-inspired computing. |

cs.FL | Formal Languages and Automata Theory | Covers automata theory, formal language theory, grammars, and combinatorics on words. This roughly corresponds to ACM Subject Classes F.1.1, and F.4.3. Papers dealing with computational complexity should go to cs.CC; papers dealing with logic should go to cs.LO. |

cs.GL | General Literature | Covers introductory material, survey material, predictions of future trends, biographies, and miscellaneous computer-science related material. Roughly includes all of ACM Subject Class A, except it does not include conference proceedings (which will be listed in the appropriate subject area). The area includes general references and overviews in computer science. |

cs.GR | Graphics | Covers all aspects of computer graphics. Roughly includes material in all of ACM Subject Class I.3, except that I.3.5 is is likely to have Computational Geometry as the primary subject area. The focus is on rendering, modeling, and visualization. |

cs.GT | Computer Science and Game Theory | Covers all theoretical and applied aspects at the intersection of computer science and game theory, including work in mechanism design, learning in games (which may overlap with Learning), foundations of agent modeling in games (which may overlap with Multiagent systems), coordination, specification and formal methods for non-cooperative computational environments. The area also deals with applications of game theory to areas such as electronic commerce. Key topics include auction theory and algorithmic game theory. |

cs.HC | Human-Computer Interaction | Covers human factors, user interfaces, and collaborative computing. Roughly includes material in ACM Subject Classes H.1.2 and all of H.5, except for H.5.1, which is more likely to have Multimedia as the primary subject area. The area focuses on design and evaluation of interactive systems. |

cs.IR | Information Retrieval | Covers indexing, dictionaries, retrieval, content and analysis. Roughly includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4. The focus is on searching and retrieving information. |

cs.IT | Information Theory | Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1. The area includes error-correcting codes and compression. |

cs.LG | Learning | Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods. The focus is on algorithms and models for learning from data. |

cs.LO | Logic in Computer Science | Covers all aspects of logic in computer science, including finite model theory, logics of programs, modal logic, and program verification. Programming language semantics should have Programming Languages as the primary subject area. Roughly includes material in ACM Subject Classes D.2.4, F.3.1, F.4.0, F.4.1, and F.4.2; some material in F.4.3 (formal languages) may also be appropriate here, although Computational Complexity is typically the more appropriate subject area. |

cs.MA | Multiagent Systems | Covers multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11. |

cs.MM | Multimedia | Roughly includes material in ACM Subject Class H.5.1. The area covers multimedia information systems and processing. Key topics include multimedia retrieval and streaming. |

cs.MS | Mathematical Software | Roughly includes material in ACM Subject Classes G.1, G.4, I.1. The area focuses on software for mathematical computations. It includes libraries and tools for symbolic and numerical mathematics. |

cs.NA | Numerical Analysis | cs.NA is an alias for math.NA. Covers numerical algorithms in analysis and algebra, scientific computation. The focus is on numerical methods and their analysis. |

cs.NE | Neural and Evolutionary Computing | Covers neural networks, connectionism, genetic algorithms, artificial life, adaptive behavior. Roughly includes some material in ACM Subject Class C.1.3, I.2.6, I.5. The area includes evolutionary algorithms and neural computing. |

cs.NI | Networking and Internet Architecture | Covers all aspects of computer communication networks, including network architecture and design, network protocols, and internetwork standards (like TCP/IP). Roughly includes material in ACM Subject Classes C.2.0, C.2.1, C.2.2, C.2.3, C.2.4, and C.2.6. The area includes network security and performance. |

cs.OH | Other Computer Science | This is the classification to use for documents that do not fit anywhere else. It covers miscellaneous topics in computer science. The area is for non-standard or emerging topics. |

cs.OS | Operating Systems | Roughly includes material in ACM Subject Classes D.4.1, D.4.2., D.4.3, D.4.4, D.4.5, D.4.7, and D.4.9. The area covers system design and implementation. Key topics include process management and memory systems. |

cs.PF | Performance | Covers performance measurement and evaluation, queueing, and simulation. Roughly includes material in ACM Subject Classes G.3, D.4.8, and K.6.2. The area includes benchmarking and modeling. |

cs.PL | Programming Languages | Covers programming language semantics, language features, programming approaches (such as object-oriented programming, functional programming, logic programming). Roughly includes material in ACM Subject Classes D.1 and D.3. The area includes compilers and interpreters. |

cs.RO | Robotics | Covers vision, motion planning, uncertainty, and dynamics. Roughly includes material in ACM Subject Class I.2.9. The area includes robot control and perception. |

cs.SC | Symbolic Computation | Roughly includes material in ACM Subject Class I.1. The area focuses on symbolic manipulation. Key topics include computer algebra systems. |

cs.SD | Sound | Covers all aspects of computer sound, including synthesis, processing, recognition, and interfaces. Roughly includes ACM Subject Class H.5.5. The area includes audio analysis and music information retrieval. |

cs.SE | Software Engineering | Covers design tools, software metrics, testing and debugging, programming environments, etc. Roughly includes material in all of ACM Subject Classes D.2, except that D.2.4 (program verification) should probably have Logics in Computer Science as the primary subject area. The area includes software development methodologies. |

cs.SI | Social and Information Networks | Covers the design, analysis, and modeling of social and information networks, including their applications for on-line information access, communication, and interaction, and their roles as datasets in the exploration of questions in these and other domains, including connections to the social and biological sciences. Analysis and modeling of such networks includes topics in ACM Subject classes F.2, G.2, G.3, H.2, and I.2; applications in computing include topics in H.3, H.4, and H.5; and applications at the interface of computing and other disciplines include topics in J.1--J.7. Papers on computer communication systems and network protocols (e.g. TCP/IP) are generally a closer fit to the Networking and Internet Architecture (cs.NI) category. |

cs.SY | Systems and Control | This section includes theoretical and experimental research covering all facets of automatic control systems. The section is focused on methods of control system analysis and design using tools of modeling, simulation and optimization. Specific areas of research include nonlinear, distributed, adaptive, stochastic and robust control in addition to hybrid and discrete event systems. Application areas include automotive and aerospace control systems, network control, biological systems, multiagent and cooperative control, robotics, reinforcement learning, sensor networks, control of cyber-physical and energy-related systems, and control of computing systems. |