Summer School on “Data assimilation, optimization and applications” will be organized at GMIT
The German- Mongolian Institute for Resources and Technology (GMIT) in cooperation with the University of Versailles, France is organizing a summer school on “Data assimilation, optimization and applications” to provide the necessary knowledge to integrate, optimize and use data.
The training will be held online/offline from July 5 to 10, 2021 supported by International Center for Pure and Applied Mathematics (CIMPA). A certain number of participants will be placed in the GMIT Campus and will attend classroom classes. Moreover, the French and Mongolian professors will teach the courses online.
Optimization problems are encountered in many fields, such as engineering, financing, and economics, and give rise to a variety of mathematical formulas. The main purpose of CIMPA training is to introduce a variety of topics on how to solve application problems through optimization and data absorption.
The course covers a wide range of optimization issues in six courses, usually related to specific issues such as finance and energy. The first two days of the course will include introductory classes on the basic theory of convex analysis, standard numerical tools such as gradient-based or non-gradient-based free methods, and optimization. The one-and-a-half-hour session consists of three presentations, with additional software classes and teamwork assignments outside of classroom hours.
Click here for the class schedule and information.
For registration, the national participants must complete the GOOGLE FORM.
Please contact us for more information via email naturalscience@gmit.edu.mn.
The training will be held online/offline from July 5 to 10, 2021 supported by International Center for Pure and Applied Mathematics (CIMPA). A certain number of participants will be placed in the GMIT Campus and will attend classroom classes. Moreover, the French and Mongolian professors will teach the courses online.
Optimization problems are encountered in many fields, such as engineering, financing, and economics, and give rise to a variety of mathematical formulas. The main purpose of CIMPA training is to introduce a variety of topics on how to solve application problems through optimization and data absorption.
The course covers a wide range of optimization issues in six courses, usually related to specific issues such as finance and energy. The first two days of the course will include introductory classes on the basic theory of convex analysis, standard numerical tools such as gradient-based or non-gradient-based free methods, and optimization. The one-and-a-half-hour session consists of three presentations, with additional software classes and teamwork assignments outside of classroom hours.
Click here for the class schedule and information.
For registration, the national participants must complete the GOOGLE FORM.
Please contact us for more information via email naturalscience@gmit.edu.mn.