Data Reconciliation and Parameter Identification

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Optimization Methods

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

Electroacoustic Absorbers: Performance Evaluation and Conclusions

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

Sterotomie: Mono Panel

Explores the geometric design and machining preparation of a mono panel.

Single Inequality or Equality Constraint

Covers single inequality or equality constraints and necessary optimality conditions in optimization problems.

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.

Spark DataFrames: Basics and Optimization

Covers the basics of Spark DataFrames, their advantages, performance comparison with RDDs, and practical demos.

Optimization methods

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

Relaxation-based Retiming

Covers relaxation-based retiming to optimize cycle-time by shortening paths with excessive delays.

Optimization and Simulation

Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.

Semi-Definite Programming

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