RTR practical aspects + tCGExplores practical aspects of Riemannian trust-region optimization and introduces the truncated conjugate gradient method.
Quasi-newton optimizationCovers gradient line search methods and optimization techniques with an emphasis on Wolfe conditions and positive definiteness.
Gradient DescentCovers the concept of gradient descent, a universal algorithm used to find the minimum of a function.
Dataflow Analysis: OptimizationExplores dataflow analysis for optimization, including equations solving, live variables, reaching definitions, and very busy expressions.