Overview
Linear and Mixed Integer Programming for Portfolio Optimization is a book by Renata Mansini, Włodzimierz Ogryczak and M. Grazia Speranza, first published in 2015. In this catalogue it is classified mainly under Portfolio Optimization.
Audience and depth. The available metadata did not allow a mathematical difficulty estimate, so none is shown; treat the technical level as unknown.
Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).
How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 72% and difficulty confidence is 0%; the catalogue lists no ratings or awards.