This was the standard text for graduate students in the field into the 1990's.

Microeconomic Theory

Business & Money

David G. Luenberger

Economics

McGraw-Hill Education (ISE Editions)

With 'Investment Science', David G. Luenberger offers an introduction to the fundamentals of investment science, covering such topics as fixed-income securities, interest, portfolio growth, asset dynamics and derivative securities.

Investment Science, International Edition

Investing

Oxford University Press

Designed for those individuals interested in the current state of development in the field of investment science, this book emphasizes the fundamental principles and how they can be mastered and transformed into solutions of important and interesting investment problems. The book examines what the essential ideas are behind investment science, how they are represented, and how they can be used in actual investment practice. The book also examines where the field might be headed in the future, and goes much further in terms of mathematical content, featuring varying levels of mathematical sophistication throughout. End-of-chapter exercises are also included to help individuals get a better grasp on investment science.

Investment Science

Processes & Infrastructure

This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of fields. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods. The book also has a new co-author, Yinyu Ye of California’s Stanford University, who has written lots of extra material including some on Interior Point Methods.

Introduction to Linear & Nonlinear Programming

Computers & Technology

Programming

Addison-Wesley

This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of fields. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods. The book also has a new co-author, Yinyu Ye of Californiaâ€™s Stanford University, who has written lots of extra material including some on Interior Point Methods.

Linear and Nonlinear Programming

Investment Science By David G. Luenberger

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