rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Practical Guide to Optimization in Engineering and Data Science
  name:
    name part: Monteiro, Wellington Rodrigo.
    role:
      role term: creator
  type of resource: text
  origin info:
    place:
      place term: sz
    date issued: 2026
    edition: 1st ed. 2026.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (333 pages).
  abstract: This book offers a hands-on and comprehensive guide to optimization techniques tailored for data scientists and engineers, combining theoretical foundations with practical applications. It begins by demystifying core concepts and types of optimization, then explores their relevance across engineering and data science domains. Readers are introduced to essential mathematical tools, single- and multi-objective optimization methods, and a wide range of algorithms including gradient-based techniques, evolutionary strategies, and swarm intelligence. The book also lists real-world applications across industries and provides several Python-based examples, enabling readers to implement and experiment with optimization models in practice. With its structured approach and rich set of examples, this book serves as a valuable resource for professionals and researchers seeking to apply optimization effectively in their work.
  table of contents: 1. Grokking Optimization -- 2. Essential Mathematics for Optimization -- 3. Single-Objective Optimization Techniques -- 4. Metaheuristics for Single-Objective Optimization -- 5. Multi-Objective Optimization -- 6. Applications of Optimization -- 7. Practical Optimization Examples with Python.
  note: by Wellington Rodrigo Monteiro, Gilberto Reynoso Meza.
  subject:
    topic: Engineering design
  subject:
    topic: Production engineering
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering Design
  subject:
    topic: Mechanical Process Engineering
  subject:
    topic: Engineering Mathematics
  subject:
    topic: Conception technique
  subject:
    topic: Technique de la production
  subject:
    topic: Mathématiques de l'ingénieur
  classification: TA174 .M65 2026
  classification: 620.0042
  related item:
    identifier: (OCoLC)1531259289
  related item:
    title info:
      title: Mechanical Engineering (R0) Series
  identifier: 9783032046338 (electronic bk.)
  identifier: 3032046335
  identifier: 3032046327
  identifier: 9783032046321
  location:
    physical location: POD
  record info:
    record content source: SFB
    record creation date: 260108
    record change date: 20260406152359.6
    record identifier: in00005777707
    language of cataloging:
      language term: eng