FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

  • Safe delivery by Christmas SANTA SAFE
    Practical Guide to Optimization in Engineering and Data Science

Practical Guide to Optimization in Engineering and Data Science

Wellington Rodrigo Monteiro
    Product form
      FORMAT: Hardback

      R 7,284.09 Price and availability exclusive to website

      YOU COULD EARN 7,284.09 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 1,214.01 per month!
      3x monthly payments of R 2,428.03 with
      4x fortnightly payments of R 1,821.02 with
      Format: Hardback CONTRIBUTORS: Wellington Rodrigo Monteiro EAN: 9783032046321 COUNTRY: Switzerland PAGES: 316 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-12-23 CITY: GENRE: MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Chemical & Biochemical, TECHNOLOGY & ENGINEERING / Industrial Design / General WIDTH: 155 mm SPINE:

      Book Themes:

      Technical design, Maths for engineers, Process engineering technology and techniques

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Wellington Rodrigo Monteiro received his Ph.D. in Industrial and Systems Engineering from the Pontifical Catholic University of Parana (PUCPR), Brazil, a Master's in Industrial and Systems Engineering from PUCPR, and a Bachelor's in Computer Engineering from PUCPR. He has over ten years of experience working as a data scientist in large international corporations and startups. He works as a lead machine learning engineer at Nubank and as an assistant professor at PUCPR. His interests are rooted in machine learning, evolutionary algorithms, and multi-objective optimization applications in the industry. Gilberto Reynoso Meza received his Ph.D. in Automation from the Universitat Politècnica de València (Spain) and his B.Sc. (2001) in Mechanical Engineering from the Tecnológico de Monterrey, Campus Querétaro (Mexico). Currently, he is with the Industrial and Systems Engineering Graduate Program (PPGEPS) of the Pontifical Catholic University of Parana (PUCPR), Brazil, as an associate Professor. His main research interests are computational intelligence methods for control engineering, multi-objective optimization, many-objectives optimization, multi-criteria decision-making, evolutionary algorithms, and machine learning.
      Format: Hardback CONTRIBUTORS: Wellington Rodrigo Monteiro EAN: 9783032046321 COUNTRY: Switzerland PAGES: 316 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-12-23 CITY: GENRE: MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Chemical & Biochemical, TECHNOLOGY & ENGINEERING / Industrial Design / General WIDTH: 155 mm SPINE:

      Book Themes:

      Technical design, Maths for engineers, Process engineering technology and techniques

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Wellington Rodrigo Monteiro received his Ph.D. in Industrial and Systems Engineering from the Pontifical Catholic University of Parana (PUCPR), Brazil, a Master's in Industrial and Systems Engineering from PUCPR, and a Bachelor's in Computer Engineering from PUCPR. He has over ten years of experience working as a data scientist in large international corporations and startups. He works as a lead machine learning engineer at Nubank and as an assistant professor at PUCPR. His interests are rooted in machine learning, evolutionary algorithms, and multi-objective optimization applications in the industry. Gilberto Reynoso Meza received his Ph.D. in Automation from the Universitat Politècnica de València (Spain) and his B.Sc. (2001) in Mechanical Engineering from the Tecnológico de Monterrey, Campus Querétaro (Mexico). Currently, he is with the Industrial and Systems Engineering Graduate Program (PPGEPS) of the Pontifical Catholic University of Parana (PUCPR), Brazil, as an associate Professor. His main research interests are computational intelligence methods for control engineering, multi-objective optimization, many-objectives optimization, multi-criteria decision-making, evolutionary algorithms, and machine learning.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account