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
- 01Norms and condition numbers
- 02LU and pivoting
- 03QR and least squares numerically
- 04Residual versus forward error
- 05Iterative methods (taught grain)
- 06Eigenvalue computations (introduction)
- 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
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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
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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
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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
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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
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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
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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
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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.
