Pallas Solver
0.1
C++ Global Optimization Algorithms
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This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level
1
2
]
C
pallas::Basinhopping
Minimizes an objective function by sequentially hopping between minima in the objective's energy landscape
C
pallas::Brute
Minimizes an objective function by brute force, trying all possible combinations of specified parameter ranges and outputs the best solution found
▼
C
pallas::CoolingSchedule
Determines the rate of cooling within
pallas::SimulatedAnnealing
C
pallas::BoltzmannCooling
Boltzmann cooling schedule
C
pallas::CauchyCooling
Cauchy cooling schedule
C
pallas::FastCooling
Fast cooling schedule updates
▼
C
pallas::internal::CrossoverStrategy
C
pallas::internal::BinomialCrossover
C
pallas::internal::ExponentialCrossover
C
pallas::DifferentialEvolution
Minimizes an objective function by continuously evolving a population of candidate solutions
▼
C
GradientCostFunction
C
pallas::Rosenbrock
C
Rosenbrock
C
Rosenbrock
C
Rosenbrock
C
Rosenbrock
C
pallas::HistoryConcept
C
pallas::Brute::HistoryOutput
Stores information about the state of the system for at a given iteration number
C
pallas::SimulatedAnnealing::HistoryOutput
Stores information about the state of the system for at a given iteration number
C
pallas::DifferentialEvolution::HistoryOutput
Stores information about the state of the system for at a given iteration number
C
pallas::Basinhopping::HistoryOutput
Stores information about the state of the system for at a given iteration number
C
pallas::internal::Metropolis
Implements a probabilistic acceptance criterion for candidate solutions
▼
C
pallas::internal::MutationStrategy
C
pallas::internal::MutateBest1
C
pallas::internal::MutateBest2
C
pallas::internal::MutateRand1
C
pallas::internal::MutateRand2
C
pallas::internal::MutateRandToBest1
C
pallas::DifferentialEvolution::Options
C
pallas::CoolingSchedule::Options
C
pallas::Basinhopping::Options
C
pallas::Brute::Options
C
pallas::SimulatedAnnealing::Options
C
pallas::Brute::ParameterRange
Range of values to test for the
ith
degree of freedom
C
pallas::internal::RandomNumberGenerator< T, Enable >
Generates random numbers
C
pallas::internal::RandomNumberGenerator< double >
C
pallas::internal::RandomNumberGenerator< T, typename std::enable_if< std::is_floating_point< T >::value >::type >
C
pallas::internal::RandomNumberGenerator< T, typename std::enable_if< std::is_integral< T >::value >::type >
C
pallas::internal::RandomNumberGenerator< unsigned int >
C
pallas::scoped_array< C >
C
pallas::scoped_ptr< C >
C
pallas::scoped_ptr< internal::CrossoverStrategy >
C
pallas::scoped_ptr< internal::MutationStrategy >
C
pallas::scoped_ptr< internal::RandomNumberGenerator< double > >
C
pallas::scoped_ptr< internal::Shuffler >
C
pallas::scoped_ptr< pallas::CoolingSchedule >
C
pallas::scoped_ptr< pallas::internal::RandomNumberGenerator< double > >
C
pallas::scoped_ptr< pallas::internal::RandomNumberGenerator< unsigned int > >
C
pallas::scoped_ptr< pallas::StepFunction >
C
pallas::scoped_ptr_malloc< C, Free >
C
pallas::ScopedPtrMallocFree
This class wraps the c library function free() in a class that can be passed as a template argument to
scoped_ptr_malloc
below
C
pallas::internal::Shuffler
C
pallas::SimulatedAnnealing
Minimizes a function using simulated annealing
C
pallas::internal::State
▼
C
pallas::StepFunction
Interface to produce randomized candidate solutions
C
pallas::BoundedStepFunction
A new candidate solution is generated between upper and lower bounds. Each degree of freedom in the candidate solution is at most
step_size
from the current solution
C
pallas::DefaultStepFunction
Simple candidate generator that modifies the input by a random amount between +/-
step_size
C
pallas::Brute::Summary
Contains a summary of the optimization
C
pallas::SimulatedAnnealing::Summary
Contains a summary of the optimization
C
pallas::DifferentialEvolution::Summary
Contains a summary of the optimization
C
pallas::Basinhopping::Summary
Contains a summary of the optimization
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