Closure Conversion and Dataflow Analysis

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Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

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

Covers register allocation techniques, including interference graph examples, coloring, spilling, and coalescing.

Explores the transition from algorithms to programs through compilation, emphasizing constraints and machine-understandable coding practices.

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

Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.

Covers program optimizations, abstract interpretation, algebraic transformations, and interval analyses.

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

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

Covers optimization principles, including linear optimization, networks, and concrete research examples in transportation.