Course: Computational Optimal Transport
Semester: Spring 2022;
Time: 01/10/2022-04/25/2022, TR 04:45pm-06:00pm;
Location: Philips 510;
Instructor: Yanxiang Zhao, Phillips 709
Phone: 202-994-0606
Email: yxzhao at email dot gwu dot edu
Office Hour: TR 06:00pm--07:00pm or by appointment
Course Description
This course is aimed at advanced graduate students in mathematics, science and engineering. The goal of this course is to provide a broad entry point to Optimal Transport for students with a basic knowledge in linear algebra, differential equations, scientific computing who are seeking to expand their background to include methods in optimization, data science, machine learning.
Course Recording (University policies)
Use of Electronic Course Materials and Class Recordings:
Students are encouraged to use electronic course materials, including recorded class sessions, for private personal use in connection with their academic program of study. Electronic course materials and recorded class sessions should not be shared or used for non-course related purposes unless express permission has been granted by the instructor. Students who impermissibly share any electronic course materials are subject to discipline under the Student Code of Conduct. Please contact the instructor if you have questions regarding what constitutes permissible or impermissible use of electronic course materials and/or recorded class sessions. Please contact Disability Support Services if you have questions or need assistance in accessing electronic course materials.
The course recordings can be found on Blackboard under the tab of 'Zoom meeting'
Prerequisites
- Linear Algebra;
- Numerical Linear Algebra;
- Basic knowledge of convex optimization;
- Numerical Analysis (or their equivalents or permission of instructor);
- Knowledge of a programing language.
Textbook
- Primary textbook: Computational Optimal Transport by G. Peyre and M. Cuturi [link];
- Other useful references:
- Topics in Optimal Transportation by C. Villani;
- This one is comprehensive textbook on OT from applied analysis viewpoint.
- Optimal Transport for applied mathematicians;
- This is an easier-to-follow book than Villani's, with some numerical components.
- An Invitation to Optimal Transport, Wasserstein Distances, and Gradient Flow by A. Figalli and F. Glaudo;
- A short notes, easy to read.
- Plenty of textbooks and videos available online.
- Topics in Optimal Transportation by C. Villani;
Learning Outcomes
As a result of completing this course, the students will be able to understand:
- Definition of OT;
- Entropic regularized OT;
- Numerical implementation of entropic regularized OT;
- Dynamic formulations of OT;
- Applications of OT;
- Variants of OT.
Average minimum amount of independent, out-of-class, learning expected per week
More than 2/3 of the time you devote to this class should take place outside the classroom (lecture and recitation). Even the best students in the class should plan on spending an average of at least 6 hours a week on homework and other studying. Students who struggle with the material may need to spend more time in order to earn a grade they will find acceptable.
Course Calendar
Mon | Tue | Wed | Thu | Fri | |
Week 1 | Jan 10 | Jan 11 | Jan 12 | Jan 13 | Jan 14 |
Week 2 | Break | Jan 18 | Jan 19 | Jan 20 | Jan 21 |
Week 3 | Jan 24 | Jan 25 | Jan 26 | Jan 27 | Jan 28 |
Week 4 | Jan 31 | Feb 01 | Feb 02 | Feb 03 | Feb 04 |
Week 5 | Feb 07 | Feb 08 | Feb 09 | Feb 10 | Feb 11 |
Week 6 | Feb 14 | Feb 15 | Feb 16 | Feb 17 | Feb 18 |
Week 07 | Break | Feb 22 | Feb 23 | Feb 24 | Feb 25 |
Week 08 | Feb 21 | Feb 22 | Feb 23 | Feb 24: Midterm | Feb 25 |
Week 09 | Feb 28 | Mar 01 | Mar 02 | Mar 03 | Mar 04 |
Week 10 | Mar 07 | Mar 08 | Mar 09 | Mar 10 | Mar 11 |
Week 11 | Break | Break | Break | Break | Break |
Week 12 | Mar 21 | Mar 22 | Mar 23 | Mar 24 | Mar 25 |
Week 13 | Mar 28 | Mar 29 | Mar 30 | Mar 31 | Apr 01 |
Week 14 | Apr 04 | Apr 05 | Apr 06 | Apr 07 | Apr 08 |
Week 15 | Apr 11 | Apr 12 | Apr 13 | Apr 14 | Apr 15 |
Week 16 | Apr 18 | Apr 19 | Apr 20 | Apr 21: Final | Apr 22 |
Homework
- Homework 01;
- Homework 02;
- ...
Exams
- If you have a legitimate conflict with the test dates and times (such as Student-athletes accommodation and Religious holidays), please contact the instructor as soon as possible, do not wait until shortly (within 24 hours) before the test.
- If you miss a test because of an illness, you must inform the instructor before the test, and get a note from your doctor in order to be allowed to make the test up at a later date. Unexplained missed tests will not be excused or allowed to be made up.
- Assistance of any type (notes in any form, books, calculator, smartphone apps, etc.) is strictly banned during exams. Using the work of others on exams is strictly prohibited.
- One in-class midterm exam is scheduled at Feb 24.
- Final exam is scheduled at Apr 21.
Grading
Your course grade will be determined by your cumulative average at the end of the term and will be based on the following scale:
A | A- | B+ | B | B- | C+ | C | C- | D+ | D | D- | |
Scale | 95% | 90% | 87% | 83% | 80% | 77% | 73% | 70% | 67% | 63% | 60% |
Your cumulative average will be the following weighted average:
In-class performance | Midterm | Final | |
Scheme | 50% | 20% | 30% |
Class Policies
University policy on Religious Holidays:
- Students should notify faculty during the first week of the semester of their intention to be absent from class on their day(s) of religious observance;
- Faculty should extend to these students the courtesy of absence without penalty on such occasions, including permision to make up examinations;
- Faculty who intend to observe a religious holiday should arrange at the beginning of the semester to reschedule missed classes or to make other provisions for their course-related activities.
Academic Integrity
Academic dishonesty is defined as cheating of any kind, including misrepresenting one's own work, taking credit for the work of other without crediting them and without appropriate authorization, and the fabrication of information. For the remainder of the code, see: http://www.gwu.edu/~ntegrity/code.html.
Support for Students Outside the Classroom
- Disability Support Services (DSS): Any student who may need an accommodation based on the potential impact of a disability should contact the DSS office at 202-994-8250 in the Rome Hall, Suite 102, to establish eligibility and to coordinate reasonable accommodations. For additional information please refer to: http://gwired.gwu.edu/dss/.
- University Counseling Center (UCC): The UCC (202-994-5300) offers 24/7 assistance and referral to address students' personal, social, career, and study skills problems. Services for students include: crisis and emergency mental health consultations; confidential assessment, counseling services (individual and small group), and referrals. For additional information please refer to: http://counselingcenter.gwu.edu/.
Security
In the case of an emergence, if at all possible, the class should shelter in place. If the buliding that the class is in is affected, follow the evacuation procedures for the building. After evacuation, see shelter at a predetermined rendezvous location.
Student Responsibilities and Classroom Courtesy:
- You are responsible for knowing about all announcements made in class related to homework assignments, exams etc., and for all material covered in class.
- Be aware of the University's Code of Academic Integrity, see http://www.gwu.edu/~ntegrity for details. If cases of academic dishonesty arise, whether on homework assignments, quizzes or exams, they will be pursued to their conclusion.
- Each student must conduct him or herself in a manner that promotes a positive atmosphere, conveys mutual respect, and creates no distractions, thereby allowing all students to focus on our goal: learning NUMERICAL ANALYSIS. In particular:
- cell phones, texting devices, laptops, and all other potentially distracting must be turned off during class;
- cell phones, texting devices, laptops, and all other potentially distracting must be turned off during class;
- everyone should make a serious effort to arrive promptly for the start of class;
- except for serious reasons, once in class everyone should remain in class until the class is over;
- apart from the lecture, students asking the instructor questions, and students responding to the instructor's questions, the class should be silent.
Questions
Everyone is strongly encouraged to ask questions during class, and during office hours! Should you need further assistance, you may consider hiring a tutor (the department keeps a list of tutors; copies are available outside Phillips Hall 739).