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Special Relativity in Financial Modeling 1.0.0
Lorentz transforms, spacetime classification, and geodesic price paths for quantitative finance
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Result of a single portfolio optimization run. More...
#include <relativistic_optimizer.hpp>
Public Attributes | |
| Eigen::VectorXd | weights |
| Optimal asset weights (sum to 1, >= 0) | |
| double | geodesic_risk |
| Achieved geodesic risk d_geo² | |
| double | expected_return |
| w^T μ_rel (relativistic expected return) | |
| int | iterations |
| Number of gradient descent iterations. | |
| bool | converged |
| True iff convergence_tol was reached. | |
Result of a single portfolio optimization run.
Definition at line 76 of file relativistic_optimizer.hpp.
| bool srfm::portfolio::OptimizationResult::converged |
True iff convergence_tol was reached.
Definition at line 81 of file relativistic_optimizer.hpp.
| double srfm::portfolio::OptimizationResult::expected_return |
w^T μ_rel (relativistic expected return)
Definition at line 79 of file relativistic_optimizer.hpp.
| double srfm::portfolio::OptimizationResult::geodesic_risk |
Achieved geodesic risk d_geo²
Definition at line 78 of file relativistic_optimizer.hpp.
| int srfm::portfolio::OptimizationResult::iterations |
Number of gradient descent iterations.
Definition at line 80 of file relativistic_optimizer.hpp.
| Eigen::VectorXd srfm::portfolio::OptimizationResult::weights |
Optimal asset weights (sum to 1, >= 0)
Definition at line 77 of file relativistic_optimizer.hpp.