Gaussian Process-Based Model Predictive Control

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Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

Optimization with Constraints: KKT Conditions

Covers the optimization with constraints, focusing on the Karush-Kuhn-Tucker (KKT) conditions.

Dataflow Analysis: Optimization

Explores dataflow analysis for optimization, including equations solving, live variables, reaching definitions, and very busy expressions.

Optimization methods

Covers optimization methods, focusing on gradient methods and line search techniques.

Code Optimization: Speeding-up Analyses

Explores techniques to speed up dataflow analyses and discusses the importance of node ordering and post-order traversal.

Semi-Definite Programming

Covers semi-definite programming and optimization over positive semidefinite cones.

Introduction to Optimization and Operations Research

Covers fundamental concepts of optimization and operations research, exploring real-world examples and key topics over a semester.

Newton's Method: Convergence and Criteria

Explores the Newton method for non-linear equations, discussing convergence criteria and stopping conditions.

Predicting Completion Time: Optimization Strategies

Discusses predicting completion time and optimizing activities through efficient orchestration strategies and experiment-based completion curve predictions.

Optimizing Recursive Queries

Explores optimizing recursive queries in database systems using Datalog and semirings, discussing the challenges and solutions in data analytics.