"最优化算法讲义：数学基础与实用算法2021"

The Optimization Algorithms course at the University of Science and Technology of China, taught by Professor Yang Zhouwang in March 2021, focuses on the mathematical principles behind optimization as well as the practical application of optimization algorithms. Throughout the course, students are exposed to topics such as nonlinear continuous optimization, sparse optimization, and optimization methods for machine learning. The primary objectives of the course are to provide students with a solid foundation in the theory of optimization and equip them with the skills to implement optimization techniques in real-world scenarios. By the end of the course, students are expected to have a deep understanding of the various algorithms used in optimization and be able to apply them effectively to solve complex optimization problems. Professor Yang Zhouwang brings his expertise and experience to the course, ensuring that students receive a comprehensive education in optimization algorithms. Through a combination of lectures, assignments, and practical exercises, students are able to grasp the theoretical concepts and gain hands-on experience with implementing algorithms. Overall, the Optimization Algorithms course at the University of Science and Technology of China provides students with a rigorous and comprehensive study of optimization, preparing them for the challenges of applying optimization techniques in various fields such as machine learning, engineering, and finance. The course equips students with the necessary skills and knowledge to tackle complex optimization problems and make informed decisions based on analytical methods. With Professor Yang Zhouwang's guidance, students are able to not only understand the theoretical foundations of optimization but also master the practical aspects of implementing algorithms to find optimal solutions.