000 -LEADER |
fixed length control field |
01767 a2200265 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241015152519.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
241015b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
ISBN |
9781611975598 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.6 GIL/P |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
Gill, Philip E |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
Murray, Walter |
100 ## - MAIN ENTRY--AUTHOR NAME |
Personal name |
Wright, Margaret H |
245 ## - TITLE STATEMENT |
Title |
Practical optimization |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher |
SIAM -- |
Year of publication |
2019 |
Place of publication |
United States of America -- |
300 ## - PHYSICAL DESCRIPTION |
Number of Pages |
xvi, 401p. |
520 ## - SUMMARY, ETC. |
Summary, etc |
In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization. <br/>This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code; presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences; and contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century and particularly in the now-flourishing fields of data science, "big data," and machine learning. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Mathematics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Probability |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Computational optimization |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Mathematical programming |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Numerical analysis |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical Term |
Optimization |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Book |