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Elements of Vector Algebra and Linear Space Theory.

Projections of a vector. Direction cosines. Cauchy-Schwarz inequality.

Scalar product of vectors, properties. Length of vectors. Angle between vectors.

Linear combinations, linear dependence of vectors. Collinear and coplanar vectors.

Coordinate transformation. Transition matrix.

Eigenvalues and Eigenvectors of Matrices. Methods for Finding Them.

Double vector product

Basis of a linear space. Decomposition of a vector by basis.

Polar, cylindrical, and spherical coordinate systems. Transition formulas.

Vector and Mixed Product of Vectors.

Operations with geometric vectors.

Tables and Formulas

Derivative Table.

Table of Derivatives of Composite Functions.

Table of Higher Order Derivatives.

Table of Integrals

Taylor Series

Comparison of functions O(f) and o(f).