OAI/Combinatorics/EditApproximation/Geometry/ParameterDependencyAsymptotics.lean
19 declarations, 0 contain sorry, 0 declared as axioms
The actual pass/index count and the exponents in the dependency-path bound. These statements concern computed numbers, independently of the proof that an evaluator satisfies the dependency budgets.
- theorem
OAI.EditApproximation.le_fourth_root_of_fourth_power_leline 16 - theorem
OAI.EditApproximation.warmup_smallLog_square_div_height_tendstoline 22 - theorem
OAI.EditApproximation.computed_warmup_le_refinement_eventuallyline 46 - theorem
OAI.EditApproximation.computed_warmup_div_refinement_tendstoline 64 - theorem
OAI.EditApproximation.scalar_pass_count_boundline 75 - theorem
OAI.EditApproximation.computed_pass_count_boundline 98 - def
OAI.EditApproximation.computedDependencyIndexCountline 123 - theorem
OAI.EditApproximation.scalar_dependency_index_boundline 126 - theorem
OAI.EditApproximation.computed_dependency_index_bound_eventuallyline 140 - theorem
OAI.EditApproximation.coarse_shifted_square_div_smallExponent_tendstoline 158 - theorem
OAI.EditApproximation.scalar_weighted_dependency_boundline 170 - theorem
OAI.EditApproximation.weighted_dependency_div_height_tendstoline 187Source documentation
The exponent of the earlier-index branching factor is
o(H).theorem weighted_dependency_div_height_tendsto : Tendsto (fun N => ((coarseExponent (inputSmallLog N) : ā) + 1) * computedDependencyIndexCount N * Real.log (inputHeight N : ā) / inputHeight N) atTop (š 0) := by ā¦Mentions: OAI.EditApproximation.coarseExponent, OAI.EditApproximation.inputSmallLog, OAI.EditApproximation.computedDependencyIndexCount, OAI.EditApproximation.inputHeight
- def
OAI.EditApproximation.computedMaxTreeDepthline 214 - theorem
OAI.EditApproximation.intervalTreeDepth_le_computedMaxline 216 - theorem
OAI.EditApproximation.tree_logSmallLog_div_height_tendstoline 222Source documentation
A uniform depth upper bound is obtained by using the total length as the source length.
theorem tree_logSmallLog_div_height_tendsto : Tendsto (fun N => (computedMaxTreeDepth N : ā) * Real.log (inputSmallLog N : ā) / inputHeight N) atTop (š 0) := by ā¦Mentions: OAI.EditApproximation.computedMaxTreeDepth, OAI.EditApproximation.inputSmallLog, OAI.EditApproximation.inputHeight
- theorem
OAI.EditApproximation.tree_depth_div_height_tendstoline 247 - theorem
OAI.EditApproximation.dependency_index_div_height_tendstoline 256 - def
OAI.EditApproximation.computedDependencyOverheadExponentline 271 - theorem
OAI.EditApproximation.computedDependencyOverheadExponent_tendstoline 279Source documentation
Every fixed choice of the two branching-budget constants yields a sublinear logarithmic overhead in the dependency-path bound.
theorem computedDependencyOverheadExponent_tendsto (Cā Cā : ā) : Tendsto (fun N => computedDependencyOverheadExponent Cā Cā N / inputHeight N) atTop (š 0) := by ā¦Mentions: OAI.EditApproximation.computedDependencyOverheadExponent, OAI.EditApproximation.inputHeight