COURSE SYLLABUS Numerics for Optimization and PDE 7.5 Credits Numerik för optimering och PDE Second cycle, C7005M Version Autumn 2017 Sp 1 - Spring 2018 Sp 4Autumn 2018 Sp 1 - Present Course syllabus valid: Autumn 2018 Sp 1 - PresentThe version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first. Education level Second cycle Grade scale G U 3 4 5 Subject Scientific Computing Subject group (SCB) Mathematics Entry requirementsMathematics including linear algebra and multivariable calculus (e.g. M0029M-M0032M at LTU). Programming skills in Matlab or in some other programming language. Knowledge of basic Numerics ( e.g., C0004M or S7013E at LTU) More information about English language requirements SelectionThe selection is based on 20-285 creditsCourse AimAfter the course the student should: 1. Knowledge and understanding Be able to explain how different sources of errors affect the accuracy in computations. Be able to explain basic techniques, such as linearization and discretization, for numeric computing. 2. Skills and abilities Be able to use numerical methods for solving advanced computational problems, such as e.g. optimization problems and partial differential equations. Be able to implement different methods on a computer and to use existing software, e.g., matlab. 3. Assessment and attitudes Be able to judge different methods regarding strengths, weaknesses and usability. Be able to judge the reliability of computed results. Be oriented about current research in the areas. ContentsNumerical methods for linear and nonlinear optimization and for ordinary and partial differential equations.RealizationLectures and supervision in connection to assignments. Most part of the studies are performed, outside the scheduled lectures, by working with different assignments were different algorithms are implemented and analysed. The students will here be trained in understanding and implementing different algorithms and to judge them. The students are also trained in structuring problems and to communicate computational issues and how to solve them.ExaminationAssignments and an exam that can be written or oral.RemarksC7005M have several components corresponding with the course C7004M thus cannot be included in the degree together with C7004M.ExaminerInge SöderkvistLiterature. Valid from Autumn 2017 Sp 1 (May change until 10 weeks before course start)• Nocedal J, Wright S. J., Numerical Optimisation, Second ed, Springer 2006,• Notes Search books in the library » Course offered byDepartment of Engineering Sciences and MathematicsItems/credits NumberTypeCreditsGrade 0001Exam4.0TG G U 3 4 5 0002Assignments3.5TG U G# Study guidanceStudy guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.Syllabus establishedby Mats Näsström 13 Feb 2017Last revisedby Mats Näsström 15 Feb 2018