Linear Partial Differential Equations: Analysis and Numerics
Provides students with the basic analytical and computational tools of linear partial differential equations (PDEs) for practical applications in science and engineering, including heat/diffusion, wave, and Poisson equations. Analytics emphasize the viewpoint of linear algebra and the analogy with finite matrix problems. Studies operator adjoints and eigenproblems, series solutions, Green's functions, and separation of variables. Numerics focus on finite-difference and finite-element techniques to reduce PDEs to matrix problems, including stability and convergence analysis and implicit/explicit timestepping. Some programming required for homework and final project.
Fall 2014
This course provides students with the basic analytical and computational tools of linear partial differential equations (PDEs) for practical applications in science engineering, including heat / diffusion, wave, and Poisson equations. Analytics emphasize the viewpoint of linear algebra and the analogy with finite matrix problems. Numerics focus on finite-difference and finite-element techniques to reduce PDEs to matrix problems. The {{% resource_link "89413e98-0330-4d6f-a3a9-e20c19726f5f" "Julia Language" %}} (a free, open-source environment) is introduced and used in homework for simple examples.
Readings
Fall 2006 · Linear Partial Differential Equations
This course covers the classical partial differential equations of applied mathematics: diffusion, Laplace/Poisson, and wave equations. It also includes methods and tools for solving these PDEs, such as separation of variables, Fourier series and transforms, eigenvalue problems, and Green's functions.
Readings
- Guenther, R. B., and J. W. Lee. Partial Differential Equations of Mathematical Physics and Integral Equations . New York, NY: Dover Publications, 1996. ISBN: 0486688895.
- Myint-U, Tyn, and Lokenath Debnath. Linear Partial Differential Equations for Scientists and Engineers. 4th ed. Boston, MA: Birkhauser, 2006. ISBN: 0817643931.
Prerequisites & course information
Prereq: 18.06 or 18.700 U (Fall) 3-0-9 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2014
- MIT OCW syllabus ↗
- MIT OpenCourseWare ↗Fall 2006
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.