class CheckLP extends Error
The CheckLP class checks the solution to Linear Programming (LP) problems.
Given a constraint matrix 'a', limit/RHS vector 'b' and cost vector 'c', determine
if the values for the solution/decision vector 'x' maximizes the objective
function 'f(x)', while satisfying all of the constraints, i.e.,
maximize f(x) = c x subject to a x <= b, x >= 0
Check the feasibility and optimality of the solution.
- Alphabetic
- By Inheritance
- CheckLP
- Error
- AnyRef
- Any
- Hide All
- Show All
- Public
- Protected
Instance Constructors
- new CheckLP(a: MatrixD, b: VectorD, c: VectorD)
- a
the M-by-N constraint matrix
- b
the M-length limit/RHS vector (make b_i negative for '>=' constraint => surplus)
- c
the N-length cost vector
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def equals(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef → Any
- final def flaw(method: String, message: String): Unit
- Definition Classes
- Error
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def isCorrect(x: VectorD, y: VectorD, f: Double): Boolean
Check whether the solution is correct, feasible and optimal.
Check whether the solution is correct, feasible and optimal.
- x
the N-length primal solution vector
- y
the M-length dual solution vector
- f
the optimum (maximum) value of the objective function
- def isDualFeasible(y: VectorD): Boolean
Determine whether the solution dual feasible 'y >= 0 and y a >= c'.
Determine whether the solution dual feasible 'y >= 0 and y a >= c'.
- y
the M-length dual solution vector
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- def isOptimal(x: VectorD, y: VectorD, f: Double): Boolean
Check whether the optimum objective function value f == c x == y b.
Check whether the optimum objective function value f == c x == y b.
- x
the N-length primal solution vector
- y
the M-length dual solution vector
- f
the optimum (maximum) value of the objective function
- def isPrimalFeasible(x: VectorD): Boolean
Determine whether the solution primal feasible '(x >= 0 and a x [<= | >=] b)'.
Determine whether the solution primal feasible '(x >= 0 and a x [<= | >=] b)'.
- x
the N-length primal solution vector
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- AnyRef → Any
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()
- final def wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
Deprecated Value Members
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated