Calculus (Single & Multivariable)
- ✨ Single and Multivariable Calculus: Early Transcendentals
- HTML version below
- ✨ Single and Multivariable Calculus: Late Transcendentals
- Multivariable Calculus (2010; 7th ed.) by James Stewart Community Calculus (clipped: Community Calculus) has:
- Single variable calculus, early transcendentals, in PDF format.
- Multivariable calculus, early transcendentals, in PDF format or HTML format.
- Single variable calculus, late transcendentals, in PDF format.
- Multivariable calculus, late transcendentals, in PDF format or HTML format.
- Prof Ghrist Math - math channel of Professor Ghrist covering Calculus BLUE, a video-text for multivariable calculus; and Calculus GREEN, for single-variable calculus (in progress); additional resources for teachers & students
- Map: University Calculus (Hass et al.) - Mathematics LibreTexts
- Calculus III: Multivariable Calculus (Vectors, Curves, Partial Derivatives, Multiple Integrals, Optimization, etc) by Dr. Trefor Bazett
- Multivariable calculus by Khan Academy
- Lipschitz continuity - Wikipedia
- Hölder condition - Wikipedia
Linear Algebra
- Linear Algebra Done Right by Sheldon Axler
- ✨ Linear Algebra : Essence & Form by Robert Ghrist
- ✨ Matrix Decomposition and Applications
- The Matrix Cookbook.pdf
- Tutorial: Linear Algebra (48:39) | The Center for Brains, Minds & Machines
Gilbert Strang lectures on Linear Algebra (MIT)
- MIT 18.06 Linear Algebra, Spring 2005 (newer version)
- Old version: Gilbert Strang lectures on Linear Algebra (MIT) - watched (2) and (3) via this playlist
Lectures 1-3 from old version:
- Lec 1 | MIT 18.06 Linear Algebra, Spring 2005
- 2. Elimination with Matrices. (2025-02-25)
- 3. Multiplication and Inverse Matrices (2025-02-25)
New:
- 1. The Geometry of Linear Equations - watched previously
- 2. Elimination with Matrices. - watched (above)
- 3. Multiplication and Inverse Matrices - watched (above)
- 4. Factorization into A = LU
- 5. Transposes, Permutations, Spaces R^n
- 6. Column Space and Nullspace
- 7. Solving Ax = 0: Pivot Variables, Special Solutions
- 8. Solving Ax = b: Row Reduced Form R
- 9. Independence, Basis, and Dimension
- 10. The Four Fundamental Subspaces
- 11. Matrix Spaces; Rank 1; Small World Graphs
- 12. Graphs, Networks, Incidence Matrices
- 13. Quiz 1 Review
- 14. Orthogonal Vectors and Subspaces
- 15. Projections onto Subspaces
- 16. Projection Matrices and Least Squares
- 17. Orthogonal Matrices and Gram-Schmidt
- 18. Properties of Determinants
- 19. Determinant Formulas and Cofactors
- 20. Cramer’s Rule, Inverse Matrix, and Volume
- 21. Eigenvalues and Eigenvectors
- 22. Diagonalization and Powers of A
- 23. Differential Equations and exp(At)
- 24. Markov Matrices; Fourier Series
- 24b. Quiz 2 Review
- 25. Symmetric Matrices and Positive Definiteness
- 26. Complex Matrices; Fast Fourier Transform
- 27. Positive Definite Matrices and Minima
- 28. Similar Matrices and Jordan Form
- 29. Singular Value Decomposition
- 30. Linear Transformations and Their Matrices
- 31. Change of Basis; Image Compression
- 32. Quiz 3 Review
- 33. Left and Right Inverses; Pseudoinverse
- 34. Final Course Review
Additional:
Concepts (Linear Algebra)
- Matrix Inverse
- Determinant
- Minor
- Cofactor
- Cramer’s Rule
- Gram Matrix; Gram matrix - Wikipedia
- Gram-Schmidt Orthogonalization;
- The Gram-Schmidt Process - video by Professor Dave Explains
- Gram-Schmidt process at StatLect by Marco Taboga (clipped: Gram-Schmidt process)
- Complex conjugate - Wikipedia
- Hermitian matrix - Wikipedia
- Orthogonal Basis
- Kronecker Delta
- Matrix Decompositions
- Computing a low-rank approximation to the original matrix A.
Real Analysis
- Real Analysis: Lectures by Professor Francis Su
- Francis Su - Math 131: Real Analysis I
- Understanding Analysis by Stephen Abbott or on Drive
General | Unsorted
- Mr Stone’s Resources (A Level Page)
- Curious and Useful Math
- Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning
- Vector, Matrix, and Tensor Derivatives by Erik Learned-Miller from Stanford CS231n
- Tables of Integrals, Series and Products
- PlanetMath subject index
- Lecture Courses by David Murray (Oxford Robotics)
- See miscellaneous Unpublished Notes - Homepage of Yuval Filmus
- Bookshelves - Mathematics LibreTexts
- gt.geometric topology - Intuitive crutches for higher dimensional thinking - MathOverflow
- Derivatives of multivariable functions | Khan Academy
- Mathonline
- Michael Orlitzky { The derivative of a quadratic form }
- Hyperplanes.pdf
- Lecture Notes
- limit Laws - Story of Mathematics
- Videos | A 2020 Vision of Linear Algebra | MIT OpenCourseWare
- Yacas
- Tutorial — Yacas
- Primers – Math ∩ Programming
- Primers on topics from mathetmatics by Jeremy Kun - Groups (1 and 2), Rings (1 and 2), Fourier Series, Fourier Transform, Generalized Functions and Tempered Distributions, Discrete Fourier Transform, Hamming Codes, Martingales and the Optional Stopping Theorem and much more.
- Itô calculus - Wikipedia
Directories
Concepts
- Group (mathematics) - Wikipedia like the Rubik’s Cube group - Wikipedia
- Abelian group - Wikipedia
- Field (mathematics) - Wikipedia
- Ring (mathematics) - Wikipedia
- Vector space - Wikipedia
- Algebra over a field - Wikipedia - see also all sections under the Wikipedia heading Algebraic structures
- Algebraic structure - Wikipedia
- Monoid - Wikipedia
- Lie group - Wikipedia
Groups, Fields and Rings
A group is a set with a binary operation that satisfies the following constraints: the operation is associative, it has an identity element, and every element of the set has an inverse element.
every ring is a group, and every field is a ring.
A ring is an abelian group with an additional operation, where the second operation is associative and the distributive property make the two operations “compatible”.
A field is a ring such that the second operation also satisfies all the properties of an abelian group (after throwing out the additive identity), i.e. it has multiplicative inverses, multiplicative identity, and is commutative.
Pieter adds: note that the multiplicative group of a field (obviously) does not contain the zero from the field in question as there is no inverse
Marc van Leeuwen adds: The phrase “i.e.,… is commutative” is somewhat confusing, as it suggests that being commutative is a group property. Commutativity is actually an additional property to the one requiring nonzero elements to form a multiplicative group; without it one has a division ring.
— Source: Answer by BBischof to What are the differences between rings, groups, and fields?
A lot of the above are relevant to or linked in Cryptography and Cybersecurity
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Poincaré conjecture - Wikipedia (solved Millennium Prize Problem; solved by Grigori Perelman in 2002)