Pfqn_ljdfunKt

All Implemented Interfaces:


public final class Pfqn_ljdfunKt

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final static Matrix`	`pfqn_ljdfun(Matrix nvec, List<Matrix> ljdscaling, List<Matrix> ljdcutoffs, Integer M, Matrix nservers)`	Evaluate limited joint-dependent (LJD) function
`final static Integer`	`ljd_linearize(Matrix nvec, Matrix cutoffs)`	Convert per-class population vector to linearized index (0-indexed)
`final static Matrix`	`ljd_delinearize(Integer idx, Matrix cutoffs)`	Convert linearized index back to per-class population vector

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - pfqn_ljdfun
```
 final static Matrix pfqn_ljdfun(Matrix nvec, List<Matrix> ljdscaling, List<Matrix> ljdcutoffs, Integer M, Matrix nservers)
```
    Evaluate limited joint-dependent (LJD) function
    
    Parameters:
    
    nvec - Per-class population vector n1, n2, ...
    
    ljdscaling - Linearized scaling tables indexed by station index, or null if none
    
    ljdcutoffs - Per-class cutoffs N1, N2, ...
    
    M - Number of stations
    
    nservers - Number of servers per station (optional)
    
    Returns:
    
    Scaling factor vector (M x 1)
  - ljd_linearize
```
 final static Integer ljd_linearize(Matrix nvec, Matrix cutoffs)
```
    Convert per-class population vector to linearized index (0-indexed)
    
    Parameters:
    
    nvec - Per-class population vector n1, n2, ...
    
    cutoffs - Per-class cutoffs N1, N2, ...
    
    Returns:
    
    0-indexed linearized index
  - ljd_delinearize
```
 final static Matrix ljd_delinearize(Integer idx, Matrix cutoffs)
```
    Convert linearized index back to per-class population vector
    
    Parameters:
    
    idx - 0-indexed linearized index
    
    cutoffs - Per-class cutoffs N1, N2, ...
    
    Returns:
    
    Per-class population vector n1, n2, ..., nK