Client for the 'Quicopt' Optimization Service

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Documentation for package ‘quicopt’ version 0.1.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

add	Add constraints to a model
add_rand_var	Declare a random variable
add_var	Declare decision variables
as_program	Lower a model to a program
BINARY	A variable declaration
bin_var	Declare decision variables
consets	Constraint sets
constraint	A constraint row
CONTINUOUS	A variable declaration
cvar	The conditional value at risk at level 'alpha'
DEFAULT_BASE_URL	The public Quicopt endpoint
distribution	Distributions for random variables
empirical	A random variable given as a fixed scenario column
encode	Encode a program to the bytes the service reads
encode_params	Encode parameter tables alone, for rebinding data
expectation	The expected value over the scenarios
expressions	quicopt expressions — model arithmetic in plain R
index_set	A named index set with concrete elements
indicator	Constraint sets
INTEGER	A variable declaration
int_var	Declare decision variables
ir	quicopt IR — a model as plain data
ir_apply	quicopt IR — a model as plain data
ir_const	quicopt IR — a model as plain data
ir_param	quicopt IR — a model as plain data
ir_reduce	quicopt IR — a model as plain data
ir_set_ref	quicopt IR — a model as plain data
ir_source_ref	quicopt IR — a model as plain data
ir_var	quicopt IR — a model as plain data
job_delete	Poll a submitted job
job_log	Poll a submitted job
job_result	Poll a submitted job
job_status	Poll a submitted job
maximize	State what the model optimizes
minimize	State what the model optimizes
model	Create an empty optimization model
nonneg	Constraint sets
normal	Distributions for random variables
num_var	Declare decision variables
parametric	A random variable drawn from a distribution
prob	The probability that a comparison holds
program	A complete optimization model as plain data
rand_var	Declare a random variable
set_distribution	Give a random variable its distribution
set_empirical	Turn observed history into a model's uncertainty
set_scenarios	Set how many scenarios are drawn, and from which seed
solve.quicopt_model	Solve a model with the Quicopt service
solve_model	Solve a model with the Quicopt service
stochastic	Optimization under uncertainty
submit	Submit a model for asynchronous solving
var_decl	A variable declaration
wire	quicopt wire — a program's bytes
zero	Constraint sets