Class: Finrb::Numerical::Brent
- Inherits:
-
Object
- Object
- Finrb::Numerical::Brent
- Defined in:
- lib/finrb/numerical/brent.rb,
sig/finrb.rbs
Overview
Brent-Dekker root solver for a continuous function on a sign-changing interval. The interpolation steps are safeguarded by bisection.
Algorithm: R. P. Brent, Algorithms for Minimization Without Derivatives, Chapter 4 (1973). See also the GNU GSL root-finding documentation: https://www.gnu.org/software/gsl/doc/html/roots.html
Instance Method Summary collapse
-
#initialize(tolerance:, relative_tolerance: tolerance, max_iterations: DEFAULT_MAX_ITERATIONS) ⇒ Brent
constructor
A new instance of Brent.
- #solve(function, lower:, upper:) ⇒ decimal
Constructor Details
#initialize(tolerance:, relative_tolerance: tolerance, max_iterations: DEFAULT_MAX_ITERATIONS) ⇒ Brent
Returns a new instance of Brent.
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# File 'lib/finrb/numerical/brent.rb', line 18 def initialize(tolerance:, relative_tolerance: tolerance, max_iterations: DEFAULT_MAX_ITERATIONS) @absolute_tolerance = decimal(tolerance) @relative_tolerance = decimal(relative_tolerance) @max_iterations = Integer(max_iterations) raise(ArgumentError, 'Tolerance must be positive.') unless @absolute_tolerance.positive? && @relative_tolerance.positive? raise(ArgumentError, 'Maximum iterations must be positive.') unless @max_iterations.positive? end |
Instance Method Details
#solve(function, lower:, upper:) ⇒ decimal
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# File 'lib/finrb/numerical/brent.rb', line 27 def solve(function, lower:, upper:) left = decimal(lower) right = decimal(upper) raise(ArgumentError, 'Lower bound must be less than upper bound.') if left >= right left_value = evaluate(function, left) right_value = evaluate(function, right) return left if left_value.zero? return right if right_value.zero? raise(ConvergenceError, 'Root is not bracketed.') unless opposite_signs?(left_value, right_value) left, right, left_value, right_value = best_approximation_last(left, right, left_value, right_value) previous = left previous_value = left_value penultimate = previous bisected = true @max_iterations.times do tolerance = @absolute_tolerance + (@relative_tolerance * right.abs) return right if right_value.zero? || (right - left).abs <= tolerance candidate = if distinct_values?(left_value, right_value, previous_value) inverse_quadratic(left, right, previous, left_value, right_value, previous_value) else right - (right_value * (right - left) / (right_value - left_value)) end bound = ((left * 3) + right) / 4 outside_safe_interval = candidate <= [bound, right].min || candidate >= [bound, right].max insufficient_progress = (candidate - right).abs >= if bisected ((right - previous).abs / 2) else ((previous - penultimate).abs / 2) end bracket_too_small = if bisected (right - previous).abs < tolerance else (previous - penultimate).abs < tolerance end if outside_safe_interval || insufficient_progress || bracket_too_small candidate = (left + right) / 2 bisected = true else bisected = false end candidate_value = evaluate(function, candidate) penultimate = previous previous = right previous_value = right_value if opposite_signs?(left_value, candidate_value) right = candidate right_value = candidate_value else left = candidate left_value = candidate_value end left, right, left_value, right_value = best_approximation_last(left, right, left_value, right_value) end raise(ConvergenceError, "Calculation did not converge after #{@max_iterations} iterations.") end |