Скоро! Полное руководство по задачам оптимизации в механике [Команда оптимизации] [udemy]

[SHAREWOOD]

Полное руководство по задачам оптимизации в механике [Команда оптимизации] [udemy]​

Описание:

Exhaustive Guide to Optimization Challenges in Mechanical Engineering

Learn how to articulate and solve your problems using GAMS

Authors: Optimization Squad, Opt .
Last updated: 04.2020
English
Video with Russian translation [auto]

What you'll learn

• How to utilize optimization algorithms for real-world mechanical engineering tasks
• How to mathematically frame optimization problems in GAMS?
• Standard optimization issues in mechanical engineering

Course Material
2 sections • 21 lectures • Total duration 3 hrs 5 mins
Requirements

• Students should have a background in mathematics, physics, and preferably, mechanical engineering.

Description
This course offers a methodological and systematic set of guidelines and application of optimization algorithms (like GAMS) for solving actual problems in mechanical engineering.

It provides an invaluable resource for students, postgraduates, and practicing engineers active within the mechanical engineering sector.

It includes various applied thematic studies, industrial, and practical examples.

In this course, you will learn:

• The fundamentals of optimization methods as they apply to mechanical engineering challenges.
  
• Problem-solving skill that enables you to tackle the practical aspects of optimization and mechanical engineering.
  
• How to formulate real-life mechanical engineering problem as an engineering optimization task.
  
• How to write optimization codes to solve mechanical engineering problems.
  
• How to deal with real industry problems and the approach to use in solving them.

Who is this course for:

• Undergraduates/postgraduates, as well as practicing engineers in the field of mechanical engineering

Hidden link

»

Материал «Полное руководство по задачам оптимизации в механике [Команда оптимизации] [udemy]», возможно, скоро появится на SHAREWOOD.

Воспользуйтесь поиском, может быть, он уже опубликован.