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  2. Three-dimensional space - Wikipedia

    en.wikipedia.org/wiki/Three-dimensional_space

    In geometry, a three-dimensional space (3D space, 3-space or, rarely, tri-dimensional space) is a mathematical space in which three values (coordinates) are required to determine the position of a point. Most commonly, it is the three-dimensional Euclidean space, that is, the Euclidean space of dimension three, which models physical space.

  3. Takens's theorem - Wikipedia

    en.wikipedia.org/wiki/Takens's_theorem

    The state space of the dynamical system is a ν-dimensional manifold M. The dynamics is given by a smooth map:. Assume that the dynamics f has a strange attractor with box counting dimension d A. Using ideas from Whitney's embedding theorem, A can be embedded in k-dimensional Euclidean space with

  4. Investigations in Numbers, Data, and Space - Wikipedia

    en.wikipedia.org/wiki/Investigations_in_Numbers...

    Investigations in Numbers, Data, and Space is a K–5 mathematics curriculum, developed at TERC [1] in Cambridge, Massachusetts, United States. The curriculum is often referred to as Investigations or simply TERC. Patterned after the NCTM standards for mathematics, it is among the most widely used of the new reform mathematics curricula.

  5. National Science Bowl - Wikipedia

    en.wikipedia.org/wiki/National_Science_Bowl

    On multiple choice questions, students may give the letter answer (W, X, Y, or Z) or the verbal answer. A verbal answer on a multiple choice question is only correct if it matches the official answer exactly. However, when the choices are mathematical expressions that would be conventionally written in symbols, common alternate expressions of ...

  6. Multilinear subspace learning - Wikipedia

    en.wikipedia.org/wiki/Multilinear_subspace_learning

    When observations are retained in the same organizational structure as matrices or higher order tensors, their representations are computed by performing linear projections into the column space, row space and fiber space. [6] Multilinear subspace learning algorithms are higher-order generalizations of linear subspace learning methods such as ...

  7. Linear span - Wikipedia

    en.wikipedia.org/wiki/Linear_span

    The cross-hatched plane is the linear span of u and v in both R 2 and R 3, here shown in perspective.. In mathematics, the linear span (also called the linear hull [1] or just span) of a set of elements of a vector space is the smallest linear subspace of that contains .

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