Lectures related to Relaxation-based Retiming

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Optimisation Strategies: Energy Systems Modelling and Optimization

Explores solving strategies for energy system optimization problems and different types of optimization approaches.

Optimizing Recursive Queries

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

Code Optimization: Speeding-up Analyses

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

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

Optimization Methods

Covers the Newton's local method in Python using NumPy for optimization.

Geometric Computing Laboratory: Inverse Design Optimization

Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.

The transhipment problem, The maximum flow problem

Explores the maximum flow and transhipment problems in network optimization.

Energy Systems Optimization

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

Lagrange Multipliers: Optimization in 2 Variables

Explores Lagrange multipliers for optimizing functions in 2 variables, emphasizing global and local extrema.

MILP Model and Typical Days by FM

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Dataflow Analysis: Optimization

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

Optimization with Constraints: KKT Conditions

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

Data Cleaning Challenges: Optimizing Error Detection

Addresses challenges in data cleaning for analysis, proposing optimizations to reduce processing time.

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Optimization and Simulation: Heuristics and Neighborhoods

Explores greedy heuristics, neighborhoods in optimization, and local search algorithms.

Optimization methods

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

Data Reconciliation and Parameter Identification

Explores the significance of specifications and measurements in system calculations, showcasing data reconciliation and parameter identification processes.

Semi-Definite Programming

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

Electroacoustic Absorbers: Performance Evaluation and Conclusions

Explores the performance evaluation and conclusions of electroacoustic absorbers in room modal equalization and optimization.