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vector operations

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vector operations

Extension of the laws of elementary algebra to vectors. They include addition, subtraction, and three types of multiplication. The sum of two vectors is a third vector, represented as the diagonal of the parallelogram constructed with the two original vectors as sides. When a vector is multiplied by a positive scalar (i.e., number), its magnitude is multiplied by the scalar and its direction remains unchanged (if the scalar is negative, the direction is reversed). The multiplication of a vector a by another vector b leads to the dot product, written a · b, and the cross product, written a × b. The dot product, also called the scalar product, is a scalar real number equal to the product of the lengths of vectors a (|a|) and b (|b|) and the cosine of the angle (θ) between them: a · b = |a| |b| cos θ. This equals zero if the two vectors are perpendicular (see orthogonality). The cross product, also called the vector product, is a third vector (c), perpendicular to the plane of the original vectors. The magnitude of c is equal to the product of the lengths of vectors a and b and the sine of the angle (θ) between them: |c| = |a| |b| sin θ. The associative law and commutative law hold for vector addition and the dot product. The cross product is associative but not commutative.



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Each chapter concludes with notes and problems, and appendices list governing equations and vector operations, and describe Cartesian component notation.
The arithmetic subsystem contains a number of identical arithmetic units that implement floating point vector operations using the Forte's CynWare cynw_float class and trigonometric, square root, and exponential functions with Forte's sc_fixed compatible cynw_fixed class.
Bryan Butman, GenVec's Senior Vice President of Vector Operations.
 
 
 
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