The themes covered in Resilience and Transformation for Global Restructuring will include Technology, Creativity and Innovation, Post COVID-19 opportunities and challenges, Development for a Sustainable World, Cross-Cultural Dimensions of well-being, Gender Inequality, and Intersectionality. This Edited Collection draws from selected papers from the 2022 International Conference on Resilience and Transformation for Global Restructuring, which addresses many of the challenges in a post-pandemic world.

In the current scope of economics, the management of client portfolios has become a considerable problem within financial institutions due to the amount of risk that goes into assigning assets. Various algorithmic models exist for solving these portfolio challenges; however, considerable research is lacking that further explains these design problems and provides applicable solutions to these imperative issues. Algorithms for Solving Financial Portfolio Design Problems: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of various programming models within the financial engineering field. While highlighting topics such as landscape analysis, breaking symmetries, and linear programming, this publication analyzes the quadratic constraints of current portfolios and provides algorithmic solutions to maximizing the full value of these financial sets. This book is ideally designed for financial strategists, engineers, programmers, mathematicians, banking professionals, researchers, academicians, and students seeking current research on recent mathematical advances within financial engineering.