Euclidean space/Related Articles: Difference between revisions
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imported>Daniel Mietchen m (Robot: encapsulating subpages template in noinclude tag) |
imported>Peter Schmitt (first entries, and cleanig up bot results) |
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==Parent topics== | ==Parent topics== | ||
{{r|Euclidean geometry}} | |||
{{r|Analytic geometry}} | |||
{{r|Linear algebra}} | |||
{{r|Vector space}} | |||
{{r|Euclidean vector space}} | |||
==Subtopics== | ==Subtopics== | ||
{{r|Cartesian coordinates}} | |||
{{r|Scalar product}} | |||
{{r|Dot product}} | |||
==Other related topics== | ==Other related topics== | ||
{{r|Basis (linear algebra)}} | {{r|Basis (linear algebra)}} | ||
{{r|Inner product space}} | {{r|Inner product space}} | ||
Latest revision as of 19:08, 5 October 2009
- See also changes related to Euclidean space, or pages that link to Euclidean space or to this page or whose text contains "Euclidean space".
Parent topics
- Euclidean geometry [r]: Form of geometry first codified by Euclid in his series of thirteen books, The Elements. [e]
- Analytic geometry [r]: Add brief definition or description
- Linear algebra [r]: Branch of mathematics that deals with the theory of systems of linear equations, matrices, vector spaces, determinants, and linear transformations. [e]
- Vector space [r]: A set of vectors that can be added together or scalar multiplied to form new vectors [e]
- Euclidean vector space [r]: Add brief definition or description
Subtopics
- Cartesian coordinates [r]: Set of real numbers specifying the position of a point in two- or three-dimensional space with respect to orthogonal axes. [e]
- Scalar product [r]: Please do not use this term in your topic list, because there is no single article for it. Please substitute a more precise term. See Scalar product (disambiguation) for a list of available, more precise, topics. Please add a new usage if needed.
- Dot product [r]: A type of vector multiplication in Euclidean spaces which produces a scalar result. [e]
- Basis (linear algebra) [r]: A set of vectors that, in a linear combination, can represent every vector in a given vector space or free module, and such that no element of the set can be represented as a linear combination of the others. [e]
- Inner product space [r]: A vector space that is endowed with an inner product and the corresponding norm. [e]