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AX26-MATH-302 · 2026-27

Numerical Linear Algebra

学习矩阵分解和迭代方法,分析条件数、数值稳定性与残差。

预计学习
150 小时
层次
研究生层次
主题
7

课程内容

  1. 01Norms and condition numbers
  2. 02LU and pivoting
  3. 03QR and least squares numerically
  4. 04Residual versus forward error
  5. 05Iterative methods (taught grain)
  6. 06Eigenvalue computations (introduction)
  7. 07Synthesis
查看详细大纲与学习目标

模块目标

Distinguish a mathematically unique solution from a numerically reliable computation, and quote backward-error or residual bounds when the synopsis does.

课程大纲

  1. 01 Norms and condition numbers 20h

    学习结果 Compute or bound a condition number and interpret it as sensitivity, not as a residual.

    形成性检查 四选一检查

  2. 02 LU and pivoting 25h

    学习结果 State when LU exists, what pivoting changes, and a case where naive LU fails.

    形成性检查 反例

  3. 03 QR and least squares numerically 25h

    学习结果 Relate QR to least squares and contrast it with forming AᵀA when A is ill-conditioned.

    形成性检查 书面推导

  4. 04 Residual versus forward error 20h

    学习结果 Give an example with a small residual and a large forward error.

    形成性检查 反例

  5. 05 Iterative methods (taught grain) 25h

    学习结果 State an iteration, a contraction or residual monitor, and a stopping caveat.

    形成性检查 书面推导

  6. 06 Eigenvalue computations (introduction) 15h

    学习结果 Name a method at synopsis grain and a stability issue for non-normal matrices.

    形成性检查 四选一检查

  7. 07 Synthesis 20h

    学习结果 Choose a factorisation or iteration for a stated system and justify the choice by conditioning.

    形成性检查 书面推导

学习结果

Describe LU/QR or an iterative method with an operation count and a stability or residual caveat.

学科技能

Matrix factorisations, condition numbers, residual vs error, iterative methods at taught grain.

可迁移技能

Report a residual; refuse to treat floating-point output as exact algebra.

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