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In computer science and numerical analysis, unit in the last place or unit of least precision (ulp) is the spacing between two consecutive floating-point numbers, i.e., the value the least significant digit (rightmost digit) represents if it is 1. It is used as a measure of accuracy in numeric calculations. [1]
This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
ULP may refer to: Science and technology. Unit in the last place in computer science; File extension for CadSoft/Autodesk EAGLE User Language Program; Organisations
HA—High availability; HAL—Hardware Abstraction Layer; HASP—Houston Automatic Spooling Priority; HBA—Host Bus Adapter; HCI—Human—Computer Interaction; HD—High Density; HDD—Hard Disk Drive; HCL—Hardware Compatibility List; HD DVD—High Definition DVD; HDL—Hardware Description Language; HDMI—High-Definition Multimedia Interface
This is especially true for high-school, where few other subjects demand as high caliber of problem-solving ability as computer science. This is compounded by the fact that computer science is a very different discipline from most other subjects, meaning that many students who encounter it for the first time can struggle a lot. [22]
Generally, submissions in all areas of scientific inquiry are considered, provided that they describe research contributions credibly motivated by applications to computing and involve rigorous methodology. High quality experimental papers that address topics of sufficiently broad interest are also considered. IPL implements a 3-tier review ...
The ACM Computing Classification System (CCS) is a subject classification system for computing devised by the Association for Computing Machinery (ACM). The system is comparable to the Mathematics Subject Classification (MSC) in scope, aims, and structure, being used by the various ACM journals to organize subjects by area.
The Computer Science Ontology (CSO) is an automatically generated taxonomy of research topics in the field of Computer Science. [ 1 ] [ 2 ] It was produced by the Open University in collaboration with Springer Nature by running an information extraction system over a large corpus of scientific articles. [ 3 ]