Pythagorean triple

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Related lectures (12)

Orthogonality and Least Squares Method

Explores orthogonality, dot product properties, vector norms, and angle definitions in vector spaces.

Orthogonality and Scalar Product

Explores orthogonality, scalar product, and orthonormal bases in vector spaces.

Triangle Relations: Cosine and Sine Laws

Explores the Cosine and Sine Laws in triangles, highlighting their applications and potential pitfalls.

Orthogonality and Least Squares Method

Covers orthogonal vectors, unit vectors, and the Pythagorean theorem in R^m.

Quadratic Best Approximation

Explores the best quadratic approximation in Euclidean spaces, emphasizing least squares.

Orthogonal Bases in Vector Spaces

Covers the concept of orthogonal bases in vector spaces and Pythagorean theorem applications.

Orthogonality and Subspaces

Explores orthogonality, vector norms, and subspaces in Euclidean space, including determining orthogonal complements and properties of subspaces and matrices.

Functions: Elementary Functions

Covers elementary functions like tan(x), sin(x), and cos(x) along with trigonometric identities and Pythagorean theorem.

Orthogonality and Least Squares Method

Introduces orthogonal vectors, scalar product, Euclidean norm, Pythagorean theorem, and unit vectors.

Orthogonality, Triangle Inequality, Pythagorean Theorem

Explores orthogonality, triangle inequality, and the Pythagorean theorem in vector spaces.

Norms and Orthogonality

Explores norms, orthogonality, and the Pythagorean theorem in vector spaces.

Orthogonality and Least Squares

Introduces orthogonality between vectors, angles, and orthogonal complement properties in vector spaces.

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