Enum RealParam

pub enum RealParam {
    FeasTol = 0,
    OptTol = 1,
    EpsilonZero = 2,
    EpsilonFactorization = 3,
    EpsilonUpdate = 4,
    EpsilonPivot = 5,
    Infty = 6,
    TimeLimit = 7,
    ObjLimitLower = 8,
    ObjLimitUpper = 9,
    FpFeasTol = 10,
    FpOptTol = 11,
    MaxScaleIncr = 12,
    LiftMinVal = 13,
    LiftMaxVal = 14,
    SparsityThreshold = 15,
    RepresentationSwitch = 16,
    RatRecFreq = 17,
    MinRed = 18,
    RefacBasisNnz = 19,
    RefacUpdateFill = 20,
    RefacMemFactor = 21,
    LeastSqAcrcy = 22,
    ObjOffset = 23,
    MinMarkowitz = 24,
    SimplifierModifyRowFac = 25,
}

Represents the real number parameters for some LP solver.

Variants

FeasTol = 0

Primal feasibility tolerance

OptTol = 1

Dual feasibility tolerance

EpsilonZero = 2

General zero tolerance

EpsilonFactorization = 3

Zero tolerance used in factorization

EpsilonUpdate = 4

Zero tolerance used in update of the factorization

EpsilonPivot = 5

Pivot zero tolerance used in factorization

Infty = 6

Infinity threshold

TimeLimit = 7

Time limit in seconds (INFTY if unlimited)

ObjLimitLower = 8

Lower limit on objective value

ObjLimitUpper = 9

Upper limit on objective value

FpFeasTol = 10

Working tolerance for feasibility in floating-point solver during iterative refinement

FpOptTol = 11

Working tolerance for optimality in floating-point solver during iterative refinement

MaxScaleIncr = 12

Maximum increase of scaling factors between refinements

LiftMinVal = 13

Lower threshold in lifting (nonzero matrix coefficients with smaller absolute value will be reformulated)

LiftMaxVal = 14

Upper threshold in lifting (nonzero matrix coefficients with larger absolute value will be reformulated)

SparsityThreshold = 15

Sparse pricing threshold (#violations < dimension * SPARSITY_THRESHOLD activates sparse pricing)

RepresentationSwitch = 16

Threshold on number of rows vs. number of columns for switching from column to row representations in auto mode

RatRecFreq = 17

Geometric frequency at which to apply rational reconstruction

MinRed = 18

Minimal reduction (sum of removed rows/cols) to continue simplification

RefacBasisNnz = 19

Refactor threshold for nonzeros in last factorized basis matrix compared to updated basis matrix

RefacUpdateFill = 20

Refactor threshold for fill-in in current factor update compared to fill-in in last factorization

RefacMemFactor = 21

Refactor threshold for memory growth in factorization since last refactorization

LeastSqAcrcy = 22

Accuracy of conjugate gradient method in least squares scaling (higher value leads to more iterations)

ObjOffset = 23

Objective offset

MinMarkowitz = 24

Minimal Markowitz threshold to control sparsity/stability in LU factorization

SimplifierModifyRowFac = 25

Minimal modification threshold to apply presolve reductions

Trait Implementations

impl Clone for RealParam

fn clone(&self) -> RealParam

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RealParam

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<RealParam> for i32

fn from(param: RealParam) -> i32

Converts to this type from the input type.

impl PartialEq for RealParam

fn eq(&self, other: &RealParam) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for RealParam

impl Eq for RealParam

impl StructuralPartialEq for RealParam