v0.5.0

v0.5.0

Github Commits

Major Changes

• New API for building objectives and solving/optimizing equilibria. A brief explainer can be found in the documentation
• The Equilibrium class no longer "owns" an Optimizer or Objective, and does not build its own Transforms.
• The ObjectiveFunction class is a "super-objective" that combines multiple "sub-objectives" which follow the ABC _Objective class.
• Each sub-objective function can be used as either an "objective" (minimized during optimization) or a "constraint" (enforced exactly).
• Each sub-objective function takes unique inputs that can be specified by a grid/surface/etc. or use default values from an Equilibrium.
• Each sub-objective is responsible for building its own transforms or other constant matrices, and is also responsible for computing its own derivatives.
• The super-objective dynamically builds the state vector with the independent variables from each sub-objective, and also combines the function values and derivatives by combining the outputs from each sub-objective.
• The super-objective only takes a single argument (the state vector x or y). Perturbations are now performed wrt the full state vector y, which contains all of the individual parameters.
• Adds ability to optimize physics quantities under equilibrium constraint using wide array of scipy and custom optimizers.
• New objective for solving vacuum equilibria