Course Diary TMA 372 and MMG800, MVE 455, 2018

Latest news



Old exams

2018: Exam AND Solutions for KF3, MVE455: tenta+sol_2018-0312(pdf),

2018: Exam AND Solutions TMA372/MMG800: tenta+sol_20180314(pdf),

2017: Exam AND Solutions: tenta+sol_2017-03-15(pdf),

2016: Exam AND Solutions for KF3: tenta+sol_2016-08-1(pdf),

2016: Exam AND Solutions for KF3: tenta+sol_2016-06-10(pdf),

2016: Exam AND Solutions for KF3: tenta+sol_2016-04-06(pdf),

2016: Exam AND Solutions: tenta+sol_2016-08-24(pdf),

2016: Exam AND Solutions: tenta+sol_2016-03-16(pdf),

2016: Exam AND Solutions for KF3: tenta+sol_2016-03-14(pdf),

2015: Exam AND Solutions: tenta_2015-06-09(pdf),

2015: Ordinary Exam AND Solutions: tenta_2015-03-18(pdf),

2014: Ordinary Exam AND Solutions: tenta_2014-03-12(pdf),




Below is the progress of the course so far:

  • Study weak 1:
  • Study weak 2:
  • Study weak 3:
  • Study weak 4:
  • Study weak 5:
  • Study weak 6:
  • Study weak 7:


    Put assignments in the folder box outside Maximilian office. No E-mail submission is accepted!
    You may also hand in the solutions to homework assignments during the lecture.
    Submit "only one" solution set of homework assignments for your group.
    Write the names and id-number (personnummer) of gruop members on the first page.

    Extra Support Material:

    1. MATLAB Manual

    2. MATLAB Code Examples: poisson.m, poi2D.m



    Sample Exam Questions:

    At least one question on the final exam will be to prove one of the following theorems.

  • Theorem 3.3: The Poincare inequality I & II.

  • Theorem 3.7: Variational Formulation (VF) is equivalent to Minimization Problem (MP).

  • Theorem 3.11: There is a unique solution to the abstract minimization problem (M).

  • Theorem 5.1: Prove the interpolation error estimate (1) for q=1 and p=infinity.

  • Theorems 7.1 and 7.2: A priori error estimates in energy norm.

  • Theorem 7.3: A posteriori error estimates in energy norm.

  • Theorem 8.2: Stabilty estimates for IVP.

  • Theorems 9.1 and 9.2: Stability estimates for the heat equation

  • Theorems 11.3: (Poisson) A priori error estimates for the gradient.

  • Theorems 11.5: (Poisson) A posteriori error estimates.

  • Theorems 12.1: (Heat equation) Energy estimate.

  • Theorems 12.5: (Wave equation) Conservation of Energy.


    Editor: M. Asadzadeh
    Last modified: 2010-02-28