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Conferences whose topic is algorithms and data structures considered broadly, but that do not include other areas of theoretical computer science such as computational complexity theory: ESA – European Symposium on Algorithms; SODA – ACM–SIAM Symposium on Discrete Algorithms; SWAT and WADS – SWAT and WADS conferences
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LibreOffice Impress, one of the most popular free and open-source presentation programs. In computing, a presentation program (also called presentation software) is a software package used to display information in the form of a slide show. It has three major functions: [1] an editor that allows text to be inserted and formatted
Hilbert matrix — example of a matrix which is extremely ill-conditioned (and thus difficult to handle) Wilkinson matrix — example of a symmetric tridiagonal matrix with pairs of nearly, but not exactly, equal eigenvalues; Convergent matrix — square matrix whose successive powers approach the zero matrix; Algorithms for matrix multiplication:
The contents match the full body of topics and detail information expected of a person identifying themselves as a Computer Engineering expert as laid out by the National Council of Examiners for Engineering and Surveying. [1] It is a comprehensive list and superset of the computer engineering topics generally dealt with at any one time.
The format of lightning talks varies greatly from conference to conference. [7] Slides may be discouraged, and a single computer running a presentation program is used by all speakers. In general lightning talks are given in a format that can include slides but if so, the speaker must be careful not to read the details which they include. [4]
Computer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well known subject classification system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery.
In computer science, and more specifically in computability theory and computational complexity theory, a model of computation is a model which describes how an output of a mathematical function is computed given an input. A model describes how units of computations, memories, and communications are organized. [1]