BYU Periodicals and Serials Catalog, 1972
Author | : Brigham Young University |
Publisher | : |
Total Pages | : 984 |
Release | : 1972 |
Genre | : Periodicals |
ISBN | : |
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Author | : Brigham Young University |
Publisher | : |
Total Pages | : 984 |
Release | : 1972 |
Genre | : Periodicals |
ISBN | : |
Author | : J. Reuben Clark, Jr., Library |
Publisher | : |
Total Pages | : 1128 |
Release | : 1974 |
Genre | : Periodicals |
ISBN | : |
Author | : Peter Gellatly |
Publisher | : Routledge |
Total Pages | : 278 |
Release | : 2019-12-06 |
Genre | : Language Arts & Disciplines |
ISBN | : 1000757897 |
This book, first published in 1982, explores all major aspects of automated serials control. It examines major working serials control systems in the United States and Canada, describes their operations, and evaluates their successes and shortcomings.
Author | : Andrew Lang |
Publisher | : |
Total Pages | : 428 |
Release | : 1909 |
Genre | : Christian saints |
ISBN | : |
Author | : Michael Ware |
Publisher | : Lulu.com |
Total Pages | : 350 |
Release | : 2020 |
Genre | : Electromagnetic waves |
ISBN | : 1312929278 |
Author | : Iowa State University. Library |
Publisher | : |
Total Pages | : 954 |
Release | : 1979 |
Genre | : Periodicals |
ISBN | : |
Author | : Library of Congress. Copyright Office |
Publisher | : Copyright Office, Library of Congress |
Total Pages | : 1862 |
Release | : 1975 |
Genre | : Copyright |
ISBN | : |
Author | : Library of Congress. Copyright Office |
Publisher | : |
Total Pages | : 1162 |
Release | : 1973 |
Genre | : American literature |
ISBN | : |
Author | : Joaquim R. R. A. Martins |
Publisher | : Cambridge University Press |
Total Pages | : 653 |
Release | : 2021-11-18 |
Genre | : Mathematics |
ISBN | : 110898861X |
Based on course-tested material, this rigorous yet accessible graduate textbook covers both fundamental and advanced optimization theory and algorithms. It covers a wide range of numerical methods and topics, including both gradient-based and gradient-free algorithms, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also provides an overview of models and how to prepare them for use with numerical optimization, including derivative computation. Over 400 high-quality visualizations and numerous examples facilitate understanding of the theory, and practical tips address common issues encountered in practical engineering design optimization and how to address them. Numerous end-of-chapter homework problems, progressing in difficulty, help put knowledge into practice. Accompanied online by a solutions manual for instructors and source code for problems, this is ideal for a one- or two-semester graduate course on optimization in aerospace, civil, mechanical, electrical, and chemical engineering departments.