Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.38 GB | Duration: 4.5 hours
Mathematical optimization is an extremely powerful analytical tool which uses mathematical models to choose the best element from a set of alternatives.
What you'll learn
Mathematical optimization
Multi-objective optimization
Common problems in GAMS
Solvers and models in GAMS
Requirements
Being familiar to basic Algebra is recommended
No previous knowledge on optimization or GAMS is required
Description
Many of world's biggest companies in various industries use mathematical optimization to choose the best course of action for their business and solve extremely complex problems.
Mathematical optimization is used for solving problems in many disciplines including Physics, Biology, Engineering, Economics, and Business management.
The General Algebraic Modeling System (GAMS) is a high-level modeling system for mathematical programming and optimization. It consists of a language compiler and a stable of integrated high-performance solvers. GAMS is tailored for complex, large scale modeling applications, and allows you to build large maintainable models that can be adapted quickly to new situations. GAMS is specifically designed for modeling linear, nonlinear and mixed integer optimization problems.
In this course we are going to get you started with GAMS to make you familiar with the software's environment and the general flow of modeling and solving problems in GAMS. Then in the next section, we are going to have a crash course on GAMS and how to properly use it to model and solve problems and also how to understand and modify your solution and choose the proper model type and solver for your model. After that in the third section we are going to model and solve some common problems in GAMS starting from simpler problems all the way up to more complex multi-objective problems.
Essentially this course consists of :
Basics of optimization and mathematical modeling
A crash course on commands in GAMS and the syntax of the it's code
How to control the flow of the program
Functions and data
Reading and understanding solution reports
Detailed explanation on every step from modeling to coding
Who this course is for:
People interested in mathematical modeling
Engineering students
Applied math students
Those interested in optimization
Managers persuing better decision making
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