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The Resource Optimization, Kenneth Lange

Optimization, Kenneth Lange

Label
Optimization
Title
Optimization
Statement of responsibility
Kenneth Lange
Creator
Subject
Language
eng
Summary
  • "This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students' skills in calculus and linear algebra, the text provides a rigorous exposition without undue abstraction. Its stress on convexity serves as bridge between linear and nonlinear programming and makes it possible to give a modern exposition of linear programming based on the interior point method rather than the simplex method. The emphasis on statistical applications will be especially appealing to graduate students of statistics and biostatistics
  • The intended audience also includes graduate students in applied mathematics, computational biology, computer science, economics, and physics as well as upper division undergraduate majors in mathematics who want to see rigorous mathematics combined with real applications."--Jacket
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Lange, Kenneth
Dewey number
519.6
Illustrations
illustrations
Index
index present
LC call number
QA402.5
LC item number
.L34 2004
Literary form
non fiction
Nature of contents
bibliography
Series statement
Springer texts in statistics
http://library.link/vocab/subjectName
Mathematical optimization
Label
Optimization, Kenneth Lange
Instantiates
Publication
Bibliography note
Includes bibliographical references (pages [237]-245) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Convexity
  • 6.
  • The MM algorithm
  • 7.
  • The EM algorithm
  • 8.
  • Newton's method
  • 9.
  • Conjugate gradient and quasi-Newton
  • 1.
  • 10.
  • Analysis of convergence
  • 11.
  • Convex programming
  • App.
  • The normal distribution
  • Elementary optimization
  • 2.
  • The seven C's of analysis
  • 3.
  • Differentiation
  • 4.
  • Karush-Kuhn-Tucker theory
Control code
55502387
Dimensions
25 cm
Extent
xiii, 252 pages
Isbn
9780387203324
Isbn Type
(alk. paper)
Lccn
2004049158
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Label
Optimization, Kenneth Lange
Publication
Bibliography note
Includes bibliographical references (pages [237]-245) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Convexity
  • 6.
  • The MM algorithm
  • 7.
  • The EM algorithm
  • 8.
  • Newton's method
  • 9.
  • Conjugate gradient and quasi-Newton
  • 1.
  • 10.
  • Analysis of convergence
  • 11.
  • Convex programming
  • App.
  • The normal distribution
  • Elementary optimization
  • 2.
  • The seven C's of analysis
  • 3.
  • Differentiation
  • 4.
  • Karush-Kuhn-Tucker theory
Control code
55502387
Dimensions
25 cm
Extent
xiii, 252 pages
Isbn
9780387203324
Isbn Type
(alk. paper)
Lccn
2004049158
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations

Library Locations

    • Mathematical Sciences LibraryBorrow it
      104 Ellis Library, Columbia, MO, 65201, US
      38.944377 -92.326537
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