MA6606 Computational Linear Algebra
Course Aims & Objectives: To develop a mathematical understanding of the numerical methods in linear algebra. Units: 3 Level: P6 Medium of Instruction: EnglishKeyword Syllabus: Matrix analysis. Linear systems of equations. Condition number and backward stability analysis. Orthogonalization and least squares. Matrix eigenvalue problems and singular value decomposition. Conjugate gradient and related iterative methods for linear systems. Lanczos and Arnoldi methods for eigenvalue problems. Teaching Pattern: Duration of course: 1 Semester Suggested lecture/tutorial/laboratory mix: 3 hrs lectureAssessment Pattern: Examination duration: 3 hours Percentage distribution of marks for coursework, examination, other: 40% Coursework; 60% Examination Grading pattern: Standard (A+AA-...F) Pre-requisite(s): Nil Pre-cursor(s): Nil Equivalent Course(s): Nil
Course Aims & Objectives: To develop a mathematical understanding of the numerical methods in linear algebra. Units: 3 Level: P6
Medium of Instruction: EnglishKeyword Syllabus: Matrix analysis. Linear systems of equations. Condition number and backward stability analysis. Orthogonalization and least squares. Matrix eigenvalue problems and singular value decomposition. Conjugate gradient and related iterative methods for linear systems. Lanczos and Arnoldi methods for eigenvalue problems. Teaching Pattern: Duration of course: 1 Semester Suggested lecture/tutorial/laboratory mix: 3 hrs lectureAssessment Pattern: Examination duration: 3 hours Percentage distribution of marks for coursework, examination, other: 40% Coursework; 60% Examination Grading pattern: Standard (A+AA-...F) Pre-requisite(s): Nil Pre-cursor(s): Nil Equivalent Course(s): Nil