Eigenvalue Problem and Nonlinear Programming Problem: For Economic Studies (2024) (New Frontiers in Regional Science: Asian Perspectives #70)
By:
Sign Up Now!
Already a Member? Log In
You must be logged into Bookshare to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This book focuses on the Frobenius theorem regarding a nonlinear simultaneous system. The Frobenius theorem is well known as a condition for a linear simultaneous system’s having a nonnegative solution. Generally, however, the condition of a simultaneous system, including a non-linear system’s having a nonnegative solution, is hardly discussed at all. This book, therefore, extends the conventional Frobenius theorem for nonlinear simultaneous systems for economic analysis. Almost all static optimization problems in economics involve nonlinear programing. Theoretical models in economics are described in the form of a simultaneous system resulting from the rational optimization behavior of households and enterprises. On the other hand, rational optimization behavior of households and enterprises is, mathematically speaking, expressed as nonlinear programing. For this reason it is important to understand the meaning of nonlinear programing. Because this book includes explanations of the relations among various restrictions in a nonlinear programing systematically and clearly, this book is suitable for students in graduate school programs in economics.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789819929436
- Related ISBNs:
- 9789819929429
- Publisher:
- Springer Nature Singapore
- Date of Addition:
- 06/21/24
- Copyrighted By:
- Springer Nature Singapore Pte Ltd.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- History, Nonfiction, Business and Finance, Mathematics and Statistics, Philosophy
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
Reviews
Other Books
- by Keiko Nakayama
- in History
- in Nonfiction
- in Business and Finance
- in Mathematics and Statistics
- in Philosophy