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Class notes Math 269C Advanced Numerical Analysis
This is the class note for Math 269C Advanced Numerical Analysis: The Finite Element Method in UCLA.
- Class notes
- • 3 pages •
This is the class note for Math 269C Advanced Numerical Analysis: The Finite Element Method in UCLA.
Class notes MATH269C Advanced Numerical Analysis
This is the textbook for the course Advanced Numerical Analysis: The Finite Element Method in UCLA.
- Package deal
- Class notes
- • 664 pages •
This is the textbook for the course Advanced Numerical Analysis: The Finite Element Method in UCLA.
Class notes Math 225A Differentiable manifolds
This is the textbook for Math 225A Differentiable manifolds in UCLA. Topics include: 
1. Review of advanced calculus (calculus on R^n); inverse and implicit function theorems. 
2. Differentiable manifolds and their maps. 
3. Tangent and cotangent bundles, vector bundles. 
4. Differential forms: tensor and exterior algebra, exterior differentiation, and Lie derivatives. 
5. Integration: Stokes' theorem, de Rham cohomology, and computations using Meyer-Vietoris sequences. 
6. Vector fields, distr...
- Class notes
- • 726 pages •
This is the textbook for Math 225A Differentiable manifolds in UCLA. Topics include: 
1. Review of advanced calculus (calculus on R^n); inverse and implicit function theorems. 
2. Differentiable manifolds and their maps. 
3. Tangent and cotangent bundles, vector bundles. 
4. Differential forms: tensor and exterior algebra, exterior differentiation, and Lie derivatives. 
5. Integration: Stokes' theorem, de Rham cohomology, and computations using Meyer-Vietoris sequences. 
6. Vector fields, distr...
Class notes Math 225A Differentiable Manifolds
This is the class note for Math225A Differentiable Manifolds in UCLA. Topics include: 
1. Review of advanced calculus (calculus on R^n); inverse and implicit function theorems. 
2. Differentiable manifolds and their maps. 
3. Tangent and cotangent bundles, vector bundles. 
4. Differential forms: tensor and exterior algebra, exterior differentiation, and Lie derivatives. 
5. Integration: Stokes' theorem, de Rham cohomology, and computations using Meyer-Vietoris sequences. 
6. Vector fields, dist...
- Package deal
- Class notes
- • 84 pages •
This is the class note for Math225A Differentiable Manifolds in UCLA. Topics include: 
1. Review of advanced calculus (calculus on R^n); inverse and implicit function theorems. 
2. Differentiable manifolds and their maps. 
3. Tangent and cotangent bundles, vector bundles. 
4. Differential forms: tensor and exterior algebra, exterior differentiation, and Lie derivatives. 
5. Integration: Stokes' theorem, de Rham cohomology, and computations using Meyer-Vietoris sequences. 
6. Vector fields, dist...
Course note for MATH 170A Probability theory I
This is the complete course note for MATH 170A Probability theory I at UCLA.
- Package deal
- • 2 items •
- Class notes MATH 170A Probability Theory I • Class notes
- Class notes MATH 170A Probability Theory I • Class notes
This is the complete course note for MATH 170A Probability theory I at UCLA.
Class notes MATH 170A Probability Theory I
This is the course note for MATH 170A Probability Theory I in UCLA.
- Package deal
- Class notes
- • 122 pages •
This is the course note for MATH 170A Probability Theory I in UCLA.
Class notes MATH 170A Probability Theory I
This is a course note for the course MATH 170A Probability Theory I in UCLA. It provides an introduction to graduate-level advanced probability theory. It starts from the basic elements of probability: 	sets, probability axioms, conditional probability, total probability theorem and Bayes rule. Then it delves into measure-theoretic introduction of integration, Fubini's theorem, Borel-Cantelli theorem, Kolmogorov zero-one law, characteristic function, different convergence modes of random varia...
- Package deal
- Class notes
- • 140 pages •
This is a course note for the course MATH 170A Probability Theory I in UCLA. It provides an introduction to graduate-level advanced probability theory. It starts from the basic elements of probability: 	sets, probability axioms, conditional probability, total probability theorem and Bayes rule. Then it delves into measure-theoretic introduction of integration, Fubini's theorem, Borel-Cantelli theorem, Kolmogorov zero-one law, characteristic function, different convergence modes of random varia...