'Orthogonal vector' presentation slideshows

3. Linear Methods for Regression

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3-D Mathematical Preliminaries & Transformations

3-D Mathematical Preliminaries & Transformations. Coordinate Systems. Given a point P 1 and a vector V = [x v , y v , z v ] x = x 1 + t x v , y = y 1 + t y v , z = z 1 + t z v COMPACT FORM: L = P 1 + t[P 2 - P 1 ] or L = P 1 + Vt.

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Normal Modes

Normal Modes. Eigenvalues. The general EL equation becomes a matrix equation. q is a vector of generalized coordinates Equivalent to solving for the determinant The number of solution will match the number of variables. Eigenfrequencies Normal mode vectors. Pendulum Eigenfrequencies.

553 views • 8 slides

Chapter 13

Chapter 13. Section 13.3 The Dot Product. Dot Product The dot product of two vectors u and v is a number (a scalar) that can be computed in the following ways: Geometrically the dot product gives information about the angle ? between the vectors u and v , specifically:. u. ?. v.

124 views • 4 slides