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Query Attributes of Xpress Description Query Attributes of Xpress Further explanation of this example: Xpress R Reference Manual
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Data Files query_attributes.R ##################################### # This file is part of the # # Xpress-R interface examples # # # # (c) 2022-2024 Fair Isaac Corporation # ##################################### #' --- #' title: "Query Attributes" #' author: Gregor Hendel #' date: Dec. 2020 #' --- #' #' #' This example shows how to query attributes of the FICO Xpress Optimizer. A list #' of all public attributes can be found in the [Attributes #' Reference](reference_attributes.html). #' #' One important thing first: You can access all controls and attributes with a #' special syntax in R: Use `xpress:::ROWS` (yes, 3 colons) to access the integer #' ID of the rows attribute of the optimizer. We provide the integer IDs for #' controls and attributes in this way such that they do not pollute the namespace #' upon loading the `xpress` package. #' #' #' If you haven't done so already, please familiarize yourself with the Facility #' Location Example, which we use throughout our quick examples. #' #' We read the Facility location problem from the introductory example, and print #' it to verify its dimensions. #' ## ----Reading in the Facility Location Problem--------------------------------- suppressMessages(library(xpress)) p <- createprob() print(readprob(p, "flp.lp")) #' #' # Query Basic Problem Attributes #' #' Attributes can be accessed via the functions `getintattrib`, `getdblattrib`, and #' `getstringattrib` from the xpress-package. All three functions receive an #' integer ID as input. #' #' When we use the print()-function on our XPRSprob object, R internally calls #' `print.XPRSprob` from the package. This functions uses the attribute querying #' mechanism to inspect the currently loaded optimization problem. #' #' Let's have a look. ## ----Inspecting the Print Function of XPRSprob-------------------------------- print(xpress:::print.XPRSprob) #' #' # Query Attributes After a Solve #' #' Many attributes are only meaningful after the problem was solved, for example #' search tree and solution information, or solving time. Let's optimize the loaded #' facility location problem and print such information. #' ## ----Query Attributes after The Solve----------------------------------------- xprs_optimize(p) # query some attributes print(paste("Number of solutions: ", getintattrib(p, xpress:::MIPSOLS))) print(paste("Number of B%B nodes: ", getintattrib(p, xpress:::NODES))) print(paste("Solving Time: ", getdblattrib(p, xpress:::TIME))) | |||||||||||
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