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Optimization Methods and Algorithms

The book thoroughly explains fundamental optimization concepts and terminology, including variables, parameters, constraints, bounds, and convexity. It also demonstrates how to formulate optimization problems using illustrative examples. Covering both single-variable and multi-variable optimization...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: Kulkarni, Anand J. (Tekijä)
Yhteisötekijä: SpringerLink (Online service)
Aineistotyyppi: Elektroninen E-kirja
Kieli:englanti
Julkaistu: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Painos:1st ed. 2025.
Aiheet:
Engineering mathematics.
Engineering > Data processing.
Mathematical optimization.
Computational intelligence.
Mathematical and Computational Engineering Applications.
Optimization.
Computational Intelligence.
Linkit:https://doi.org/10.1007/978-981-96-9194-4
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Sisällysluettelo:
  • Chapter 1 Introduction to Optimization
  • Chapter 2 Single Variable Optimization Methods
  • Chapter 3 Multi Variable Optimization Methods
  • Chapter 4 Graphical Optimization
  • Chapter 5 Linear Programming Methods
  • Chapter 6 Nature inspired Optimization Methods.

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