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4 years ago

Linear Algebra 21f: Rotation Matrices in 3D for Rotations with respect to the Coordinate Axes

cherylmicheal3329
This course is on Lemma: Lemma looking for developers: \r
Other than , I recommend Strang Gelfand and my short book of essays \r
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Questions and comments below will be promptly addressed.\r
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Linear Algebra is one of the most important subjects in mathematics. It is a subject with boundless prical and conceptual applications. \r
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Linear Algebra is the fabric by which the worlds of geometry and algebra are united at the most profound level and through which these two mathematical worlds make each other far more powerful than they ever were individually.\r
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Virtually all subsequent subjects, including applied mathematics, physics, and all forms of engineering, are deeply rooted in Linear Algebra and cannot be understood without a thorough understanding of Linear Algebra. Linear Algebra provides the framework and the language for expressing the most fundamental relationships in virtually all subjects.\r
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This collection of videos is meant as a stand along self-contained course. There are no prerequisites. Our focus is on depth, understanding and applications. Our innovative approach emphasizes the geometric and algorithmic perspective and was designed to be fun and accessible for learners of all levels.\r
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Numerous exercises will be provided via the Lemma system (under development)\r
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We will cover the following topics:\r
Vectors\r
Linear combinations\r
Decomposition\r
Linear independence\r
Null space\r
Span\r
Linear systems\r
Gaussian elimination\r
Matrix multiplication and matrix algebra\r
The inverse of a matrix\r
Elementary matrices\r
LU decomposition\r
LDU decomposition\r
Linear transformations\r
Determinants\r
Cofors\r
Eigenvalues\r
Eigenvectors\r
Eigenvalue decomposition (also known as the spectral decomposition)\r
Inner product (also known as the scalar product and dot product)\r
Self-adjoint matrices\r
Symmetric matrices\r
Positive definite matrices\r
Cholesky decomposition\r
Gram-Schmidt orthogonalization\r
QR decomposition\r
Elements of numerical linear algebra\r
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Im Pavel Grinfeld. Im an applied mathematician. I study problems in differential geometry, particularly with moving surfaces.