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Merge pull request #10 from oxfordcontrol/v0.9.0-savvy
v0.9.0
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@@ -43,3 +43,6 @@ vignettes/*.pdf | |
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| # My stuff | ||
| inst/stuff | ||
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| # Makevars is generated | ||
| src/Makevars | ||
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| @@ -0,0 +1,31 @@ | ||
| # Generated by savvy: do not edit by hand | ||
| # | ||
| # Note: | ||
| # This wrapper file is named as `000-wrappers.R` so that this file is loaded | ||
| # first, which allows users to override the functions defined here (e.g., a | ||
| # print() method for an enum). | ||
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| #' @useDynLib clarabel, .registration = TRUE | ||
| #' @keywords internal | ||
| NULL | ||
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| # Check class and extract the external pointer embedded in the environment | ||
| .savvy_extract_ptr <- function(e, class) { | ||
| if(is.null(e)) { | ||
| return(NULL) | ||
| } | ||
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| if(inherits(e, class)) { | ||
| e$.ptr | ||
| } else { | ||
| msg <- paste0("Expected ", class, ", got ", class(e)[1]) | ||
| stop(msg, call. = FALSE) | ||
| } | ||
| } | ||
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| clarabel_solve <- function(m, n, Ai, Ap, Ax, b, q, Pi, Pp, Px, cone_spec, r_settings) { | ||
| .Call(savvy_clarabel_solve__impl, m, n, Ai, Ap, Ax, b, q, Pi, Pp, Px, cone_spec, r_settings) | ||
| } | ||
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| #' Interface to Clarabel solver implemented in Rust. | ||
| #' | ||
| #' @description Clarabel is a versatile interior point solver for convex programs using a new homogeneous embedding. It solves solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), and problems with exponential and power cone constraints. For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using a homogeneous embedding technique. See <https://oxfordcontrol.github.io/ClarabelDocs/stable/>. | ||
| #' @description Clarabel is a versatile interior point solver for convex programs using a new homogeneous embedding. It solves solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), and problems with exponential and power cone constraints. For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using a homogeneous embedding technique. See <https://clarabel.org/stable/>. | ||
| #' | ||
| #' @name clarabel-package | ||
| #' @useDynLib clarabel | ||
| #' @docType package | ||
| #' @author Balasubramanian Narasimhan, Paul Goulart, Yuwen Chen | ||
| #' @keywords package | ||
| NULL | ||
| #' @keywords internal | ||
| "_PACKAGE" |
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