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Lecture
AMPL: Optimization Modeling with AMPLIDE
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Related lectures (30)
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Introduction to Optimization and Operations Research
Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.
Optimization Programs: Piecewise Linear Cost Functions
Covers the formulation of optimization programs for minimizing piecewise linear cost functions.
Optimisation in Energy Systems
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
Optimization Techniques: Stochastic Gradient Descent and Beyond
Discusses optimization techniques in machine learning, focusing on stochastic gradient descent and its applications in constrained and non-convex problems.
Optimisation Strategies: Energy Systems Modelling and Optimization
Explores solving strategies for energy system optimization problems and different types of optimization approaches.
Optimization Techniques: Convexity in Machine Learning
Covers optimization techniques in machine learning, focusing on convexity and its implications for efficient problem-solving.
Linear Programming: Solving LPs
Covers the process of solving Linear Programs (LPs) using the simplex method.
Optimization Principles
Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.
Energy System Modeling: Optimization and Performance Indicators
Explores energy system modeling using optimization techniques and performance indicators.
Degree of Freedom Analysis
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
