Introduction to nonlinear optimization : theory, algorithms and applications with Python and MATLAB

Author(s)

• Beck, Amir

Bibliographic Information

Introduction to nonlinear optimization : theory, algorithms and applications with Python and MATLAB

Amir Beck

（MOS-SIAM series on optimization）

Society for Industrial and Applied Mathematics, c2023

2nd ed

• : pbk

Note

Includes bibliographical references (p. 345-347) and index

Details

• NCID: BD0378597X
• ISBN:
  • 9781611977615
• LCCN: 2023009070
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Philadelphia
• Pages/Volumes: xii, 351 p.
• Size: 26 cm
• Classification:
  • LCC : QA402.5
  • DC23 : 515/.642
• Subject Headings:
  • LCSH : MATLAB
  • LCSH : Mathematical optimization
  • LCSH : Nonlinear theories
  • FREE : Functional analysis -- Miscellaneous applications of functional analysis -- Applications in optimization, convex analysis, mathematical programming, economics msc
  • FREE : Calculus of variations and optimal control; optimization -- Optimality conditions -- None of the above, but in this section msc
• Parent Bibliography ID:
  • BB09877431