Class LinAlgError

Namespace

NumSharp

Assembly

NumSharp.dll

NumPy-compatible numpy.linalg.LinAlgError. Raised by np.linalg when a matrix is unsuitable for the requested factorisation — the wrong rank, not square, singular, or not positive definite.

public class LinAlgError : ValueError, ISerializable, INumSharpException

Inheritance

object

Exception

SystemException

ArgumentException

ValueError

LinAlgError

Implements

ISerializable

INumSharpException

Inherited Members

ArgumentException.ThrowIfNullOrEmpty(string, string)

ArgumentException.ThrowIfNullOrWhiteSpace(string, string)

ArgumentException.Message

ArgumentException.ParamName

Exception.GetBaseException()

Exception.GetType()

Exception.ToString()

Exception.Data

Exception.HelpLink

Exception.HResult

Exception.InnerException

Exception.Source

Exception.StackTrace

Exception.TargetSite

Exception.SerializeObjectState

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

Remarks

Mirrors numpy.linalg.LinAlgError, which derives from Python's ValueError — so this derives from ValueError and a catch (ValueError) sees it, exactly as except ValueError does upstream.

The messages NumPy 2.4.2 raises verbatim (probed):

• {n}-dimensional array given. Array must be at least two-dimensional
• {n}-dimensional array given. Array must be two-dimensional
• Last 2 dimensions of the array must be square
• Singular matrix
• Matrix is not positive definite
• Array must not contain infs or NaNs

Constructors

LinAlgError()

public LinAlgError()

LinAlgError(string)

public LinAlgError(string message)

Parameters

message string

LinAlgError(string, Exception)

public LinAlgError(string message, Exception innerException)

Parameters

message string

innerException Exception