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MATH UN2500

Analysis and Optimization · Mathematics

Prerequisites: MATH UN1102 and MATH UN1201 or the equivalent and MATH UN2010. Mathematical methods for economics. Quadratic forms, Hessian, implicit functions. Convex sets, convex…

Who teaches MATH UN2500

What students said

Xi Shen · 2025 · 2025

Lagrangian, ODEs and some other concepts in optimization problems

Yash Jhaveri · 2021 · 2021

Langrangian, KKT, ODE, Calculus of Variations, Control Theory

Wenjian Liu · 2024 · 2024

Follows the textbook very strictly - Further Mathematics for Economic Analysis

Kanstantsin Matetski · 2021 · 2021

Review of concepts from across multiple past classes (ODEs, Linear Algebra, Calculus) to then take them a step further by applying them to optimization problems

Qiao He · 2024 · 2024

further exploration of linear algebra and differential equations in the context of optimization

Ivan Horozov · 2023 · 2023

We reviewed specific topics in linear algebra, multivariable calculus, and ordinary differential equations in order to apply these techniques to optimization problems. We covered general optimization, constrained optimization, Kuhn-Tucker conditions, and calculus of variations.

Roger Van Peski · 2024 · 2024

In this class, Analysis and Optimization, I revisited linear algebra and calculus while learning various optimization methods to find extrema in different scenarios.

Chen-Chih Lai · 2022 · 2022

analysis and optimization, often geared towards economics

Henry Pinkham · 2011 · 2011

quiz in the first week, weekly psets, midterm, final

Julien Dubedat · 2023 · 2023

Jan 18. Overview. Linear algebra: vectors (I.1) Jan 23. Matrices, determinant (I.1). Jan 25. Linear independence, subspaces, dimension (I.2). Rank (I.3). Linear systems (I.4) Jan 30. Eigenvalues, eigenvectors (I.5). Diagonal matrices, conjugate matrices (I.6) Feb 1. Diagonalization. Spectral theorem for symmetric matrices (I.6). Quadratic forms (I.7) Feb 6. Quadratic forms (I.7). Open sets, closed sets, convergence, continuity (XIII.1) Feb 8. Differentiability, gradient (II.1) Feb 13. Convex sets, convex functions (II.2,3). Feb. 15. Quiz. Convex functions (II.3) Feb. 20. Convex functions, Jensen's inequality (II.3-4) Feb. 22. Subgradients. Taylor's formula (II.4,6) Feb. 27. Mappings, chain rule (II.9). Inverse mapping theorem (II.7) Mar. 1. Implicit function theorem (II.7). Extreme and critical points (III.1) Mar. 6. First-order conditions for convex functions. Weierstrass theorem (III.1) Mar. 8. Second-order conditions (III.2). Equality constraints: necessary conditions (III.3) Mar. 20. Equality constraints (III.3) Mar. 22. Midterm Mar. 27. Equality constraints: second-order conditions. Inequality constraints. (III.4,5) Mar. 29. Inequality constraints: KKT conditions, sufficient conditions (III.5,6) Apr. 3. Nonnegativity constraints, mixed constraints (III.8). Apr. 5. First-order differential equations. Separable equations, linear equations (V.1,3,4) Apr. 10. Second-order dif…

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