Ultimate course to GAMS
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.38 GB
Genre: eLearning Video | Duration: 12 lectures (4 hour, 30 mins) | Language: English

Learn mathematical optimization in GAMS with an action-based approach to any problem

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

Mathematical optimization is an extremely powerful analytical tool which uses mathematical models to choose the best element from a set of alternatives. 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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