Advanced Additive Manufacturing Technologies: Light Engine

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Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Algorithmic Complexity: Definition and Examples

Explores algorithm correctness, worst-case complexity analysis, and efficiency comparison based on input size.

Electron Microscopy: Techniques, Components, and Applications

Covers electron microscopy techniques, components, and applications, including historical development, lens aberrations correction, and electron interaction with matter.

Lens Positioning: Object and Image

Covers the positioning of objects and images in relation to a lens, including the concept of virtual images.

Algorithm Complexity Analyses

Covers the complexity analyses of algorithms and their worst-case time complexities.

Camera Calibration: Basics

Introduces camera calibration basics, including parameters estimation, pinhole model limitations, lens imaging, depth of field, and lens distortions.

Matrix Optics

Covers the ray matrix of a lens and the matrix representation of lenses and curved mirrors.

Linear Systems: Convergence and Methods

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Linear Algebra: Efficiency and Complexity

Explores constraints, efficiency, and complexity in linear algebra, emphasizing convexity and worst-case complexity in algorithm analysis.

Simon Problem 4: Quantum State and Complexity Analysis

Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.