Computing Methods in Optimization Problems: Proceedings of a Conference Held at University of California, Los Angeles January 30-31, 1964

Neustadt, Lucien W. (Series Editor) / Balakrishnan, A. V. (Editor)

ISBN 10: 1483209725 / ISBN 13: 9781483209722

Published by Academic Press, 2014

About this Item

338 pages. 9.50x6.00x0.77 inches. In Stock.

Seller Inventory # zk1483209725

Bibliographic Details

• Title: Computing Methods in Optimization Problems: Proceedings of a Conference Held at University of California, Los Angeles January 30-31, 1964
• Publisher: Academic Press
• Publication Date: 2014
• Language: English
• ISBN 10: 1483209725
• ISBN 13: 9781483209722
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Computing Methods in Optimization Problems deals with hybrid computing methods and optimization techniques using computers. One paper discusses different numerical approaches to optimizing trajectories, including the gradient method, the second variation method, and a generalized Newton-Raphson method. The paper cites the advantages and disadvantages of each method, and compares the second variation method (a direct method) with the generalized Newton-Raphson method (an indirect method). An example problem illustrates the application of the three methods in minimizing the transfer time of a low-thrust ion rocket between the orbits of Earth and Mars. Another paper discusses an iterative process for steepest-ascent optimization of orbit transfer trajectories to minimize storage requirements such as in reduced memory space utilized in guidance computers. By eliminating state variable storage and control schedule storage, the investigator can achieve reduced memory requirements. Other papers discuss dynamic programming, invariant imbedding, quasilinearization, Hilbert space, and the computational aspects of a time-optimal control problem. The collection is suitable for computer programmers, engineers, designers of industrial processes, and researchers involved in aviation or control systems technology.