Package index
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model() - Create an empty model
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num_var()int_var()bin_var()add_var() - Declare decision variables
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set_start() - Start the next search from a known solution
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minimize()maximize() - Set the objective
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add() - Add constraints to a model
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expressions - Expressions: arithmetic on variables
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sum()prod()max()min() - Sums, products, maxima and minima
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holds() - A comparison as a 0/1 expression
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stochastic - Optimization under uncertainty
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rand_var()add_rand_var() - Declare a random variable
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set_distribution() - Give a random variable its distribution
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set_scenarios() - Set how many scenarios are drawn, and from which seed
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set_empirical() - Use observed data as a model's uncertainty
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distribution()normal()uniform()exponential()bernoulli() - Distributions for random variables
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empirical() - A random variable given by a sample
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expectation() - The average over the scenarios
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cvar() - The average over the worst scenarios
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prob() - The probability that a comparison holds
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variance()std_dev() - The variance and the standard deviation over the scenarios
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scenario_max()scenario_min()scenario_quantile() - The largest, the smallest and a quantile over the scenarios
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is_random() - Does an expression vary across scenarios?
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perm_var()add_perm_var() - Declare an ordering as a decision
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item_at()slot_of() - The item in a slot, and the slot of an item
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precede() - Require one item to come before another
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part_var()add_part_var() - Divide items into groups as a decision
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part_of()size_of() - The part of an item, and the size of a part
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lookup_table()`[`(<quicopt_table>) - A table of data indexed by decisions
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solve_model()solve(<quicopt_model>) - Solve a model
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submit() - Solve a model without waiting
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job_status()job_result()job_log()job_delete() - Follow up a submitted job
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evaluate() - Compute a quantity at a given solution
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resample() - Check a solution on new scenarios
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DEFAULT_BASE_URL - The address of the public Quicopt service
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program() - A model as plain data
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CONTINUOUSINTEGERBINARYSEMICONTINUOUSSEMIINTEGERvar_decl() - A decision variable, for building a program by hand
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index_set() - An index set, for building a program by hand
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constraint() - A constraint, for building a program by hand
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zero()nonneg()indicator() - Constraint sets, for building a program by hand
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parametric() - A random variable with a distribution, for building a program by hand
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permutation_decl() - A permutation, for building a program by hand
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partition_decl() - A partition, for building a program by hand
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ir_const()ir_param()ir_var()ir_apply()ir_reduce()ir_source_ref()ir_struct_ref()ir_table_ref()ir_set_ref() - Expression nodes, for building a program by hand
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wire - The bytes sent to the service
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encode() - Encode a model as the bytes the service reads
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encode_params() - Encode parameter tables on their own
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as_program() - Convert a model to a program