The developments within the computationally and numerically-oriented areas of operations research - finance, statistics and economics - were significant over the last decades of the 20th century. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization between them. This volume contains a collection of invited, peer-reviewed papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a wide range of relevant topics, with each article written from a personal, explorative perspective that invites the reader to discover new approaches to solving old problems. In the long term, it is hoped that this volume will facilitate cross-fertilization among the computational fields.
