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Source: The Open Library

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1Vorlesungen über natürliche Geometrie

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“Vorlesungen über natürliche Geometrie” Metadata:

  • Title: ➤  Vorlesungen über natürliche Geometrie
  • Author:
  • Language: ger
  • Number of Pages: Median: 351
  • Publisher: ➤  Druck und Verlag von B.G. Teubner - B. G. Teubner - B.G. Teubner - Johnson
  • Publish Date:
  • Publish Location: Leipzig - New York

“Vorlesungen über natürliche Geometrie” Subjects and Themes:

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Access and General Info:

  • First Year Published: 1901
  • Is Full Text Available: No
  • Is The Book Public: No
  • Access Status: No_ebook

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    Source: Wikipedia

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    Intrinsic equation

    In geometry, an intrinsic equation of a curve is an equation that defines the curve using a relation between the curve's intrinsic properties, that is

    Euler angles

    original coordinate system, which is assumed to remain motionless), or intrinsic (rotations about the axes of the rotating coordinate system XYZ, solidary

    Plücker coordinates

    In geometry, Plücker coordinates, introduced by Julius Plücker in the 19th century, are a way to assign six homogeneous coordinates to each line in projective

    Coordinate system

    triangles. Trilinear coordinates are used in the context of triangles. There are ways of describing curves without coordinates, using intrinsic equations that

    Camera resectioning

    calculate the 3D world coordinates of a point viewed by both cameras. The camera projection matrix is derived from the intrinsic and extrinsic parameters

    Tensor (intrinsic definition)

    of linear algebra to multilinear algebra. In differential geometry, an intrinsic[definition needed] geometric statement may be described by a tensor field

    Integrable system

    explicit determination of solutions in an explicit functional form (not an intrinsic property, but something often referred to as solvability) Integrable systems

    Intrinsic dimension

    The intrinsic dimension for a data set can be thought of as the minimal number of variables needed to represent the data set. Similarly, in signal processing

    Differential geometry of surfaces

    perspectives: extrinsically, relating to their embedding in Euclidean space and intrinsically, reflecting their properties determined solely by the distance within

    Covariant derivative

    the extrinsic normal component (dependent on the embedding) and the intrinsic covariant derivative component. The name is motivated by the importance