
Mathematical Optimization Techniques
Author(s): Richard Bellman (Author)
- Publisher: University of California Press
- Publication Date: May 27, 2022
- Edition: First Edition
- Language: English
- Print length: 364 pages
- ISBN-10: 0520319869
- ISBN-13: 9780520319868
Book Description
The book is divided into four sections, each tackling a vital aspect of optimization. The first explores variational methods in trajectory optimization, presenting new approaches to balancing differential equations and constraints. The second addresses signal processing, decision-making, and statistical estimation, while the third focuses on linear and nonlinear programming, offering geometric and computational insights into maximizing functions under constraints. The final section examines control processes and automation, highlighting dynamic programming's theoretical and practical advances. Contributors like Bellman, Kalman, and others provide cutting-edge perspectives, making this collection a foundational text for researchers and practitioners in optimization, applied mathematics, and systems engineering.
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1963.
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