A Derivative-book Two Level Random Search Method For Unconstrained Optimization - Neculai Andrei

TRY4,549.00
+ TRY1,098.99 Shipping

A Derivative-book Two Level Random Search Method For Unconstrained Optimization - Neculai Andrei

Sold by:
  • product image
A Derivative-book Two Level Random Search Method For Unconstrained Optimization - Neculai Andrei

TRY4,549.00

In stock
+ TRY1,098.99 Shipping

14-Day Returns Policy

Payment methods:

  • Brand: Unbranded

Description

A Derivative-book Two Level Random Search Method For Unconstrained Optimization - Neculai Andrei

The Book Is Intended For Graduate Students And Researchers In Mathematics, Computer Science, And Operational Research. The Book Presents A New Derivative-book Optimization Methodalgorithm Based On Randomly Generated Trial Points In Specified Domains And Where The Best Ones Are Selected At Each Iteration By Using A Number Of Rules. This Method Is Different From Many Other Well Established Methods Presented In The Literature And Proves To Be Competitive For Solving Many Unconstrained Optimization Problems With Different Structures And Complexities, With A Relative Large Number Of Variables.
  • Brand: Unbranded
  • Category: Business, Finance & Law
  • Format: Paperback
  • Language: English
  • Publication Date: 2021-04-01
  • Publisher / Label: Springer Nature B.V
  • Author: Neculai Andrei
  • Number of Pages: 132
  • Fruugo ID: 469761473-983716386
  • ISBN: 9783030685164

Delivery

Dispatched within 24 hours

  • STANDARD: TRY1,098.99 - Delivery between Fri 04 September 2026–Fri 11 September 2026

Shipping from United Kingdom.

Returns

We do our best to ensure that the products that you order are delivered to you in full and according to your specifications. However, should you receive an incomplete order, or items different from the ones you ordered, or there is some other reason why you are not satisfied with the order, you may return the order, or any products included in the order, and receive a full refund for the items.

View full return policy