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  2. Nelder–Mead method - Wikipedia

    en.wikipedia.org/wiki/Nelder–Mead_method

    The method uses the concept of a simplex, which is a special polytope of n + 1 vertices in n dimensions. Examples of simplices include a line segment in one-dimensional space, a triangle in two-dimensional space, a tetrahedron in three-dimensional space, and so forth.

  3. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB (an abbreviation of "MATrix LABoratory" [18]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.

  4. Line–line intersection - Wikipedia

    en.wikipedia.org/wiki/Line–line_intersection

    Two intersecting lines. In Euclidean geometry, the intersection of a line and a line can be the empty set, a point, or another line.Distinguishing these cases and finding the intersection have uses, for example, in computer graphics, motion planning, and collision detection.

  5. Möller–Trumbore intersection algorithm - Wikipedia

    en.wikipedia.org/wiki/Möller–Trumbore...

    Each point on that plane can be written as + and can be translated by to "move" that point onto the plane that the triangle is on. To find u {\displaystyle u} and v {\displaystyle v} for a particular intersection, set the ray expression equal to the plane expression, and put the variables on one side and the constants on the other.

  6. Multiple line segment intersection - Wikipedia

    en.wikipedia.org/wiki/Multiple_line_segment...

    The Shamos–Hoey algorithm [1] applies this principle to solve the line segment intersection detection problem, as stated above, of determining whether or not a set of line segments has an intersection; the Bentley–Ottmann algorithm works by the same principle to list all intersections in logarithmic time per intersection.

  7. Covariance intersection - Wikipedia

    en.wikipedia.org/wiki/Covariance_intersection

    According to a recent survey paper [7] and, [8] the covariance intersection has the following advantages: The identification and computation of the cross covariances are completely avoided. It yields a consistent fused estimate, and thus a non-divergent filter is obtained. The accuracy of the fused estimate outperforms each local one.

  8. Cusp (singularity) - Wikipedia

    en.wikipedia.org/wiki/Cusp_(singularity)

    Consider a smooth real-valued function of two variables, say f (x, y) where x and y are real numbers.So f is a function from the plane to the line. The space of all such smooth functions is acted upon by the group of diffeomorphisms of the plane and the diffeomorphisms of the line, i.e. diffeomorphic changes of coordinate in both the source and the target.

  9. Intersection - Wikipedia

    en.wikipedia.org/wiki/Intersection

    The intersection (red) of two disks (white and red with black boundaries). The circle (black) intersects the line (purple) in two points (red). The disk (yellow) intersects the line in the line segment between the two red points. The intersection of D and E is shown in grayish purple. The intersection of A with any of B, C, D, or E is the empty ...