Namespaces
namespace	Experimental
Classes
class	SampledDataCsv
	Base class for CSV (comma separated files) representation, importer and exporter of sampled data and data definitions. More...
class	NamespaceDoc
	This namespace contains various numerical classes. More...
class	AnalysisRequestDto
	DTO (Data Transfer Objects) for storing contents of direct analysis request (in optimization problems). More...
class	AnalysisResultsDto
	DTO (Data Transfer Objects) for storing contents of direct analysis request (in optimization problems). More...
class	VectorFunctionRequestDTO
	DTO (Data Transfer Objects) for storing contents of vector function evaluation request. More...
class	VectorFunctionResultsDto
	DTO (Data Transfer Objects) for storing contents of vector function results. More...
interface	IResponseEvaluatorVectorSimple
	Interface for simulators and other systems (used e.g. for optimization) that can calculate vector response as a function of vector input parameters. More...
class	SimKosecConst
	Constants for (optimization) interface with the simulation code of Gregor Kosec. More...
class	SimKosecFileManagerConvBase
	Base class for interface with simulator of G. Kosec for convection problems in a cave with obstacles. More...
class	SimKosecFileManagerConv2
	Interface with simulator of G. Kosec for convection problems in a cave with 2 obstacles. More...
class	SimKosecFileManagerConv3
	Interface with simulator of G. Kosec for convection problems in a cave with 3 obstacles. More...
class	SimKosecFileManagerBase
	File manager for interfacing (for optimization purposes) the simulation code of Gregor Kosec. More...
class	PointCloudSampledDataElement
	Cloud of points where each point is represented by the IVector object, contains a list of containers of vector objects that include point coordinates. More...
class	PointContainerSampledDataElement
	Container class that contains a single vector point plus all the data that are necessary for searching and re-connecting operations on points. More...
class	DistanceComparerSampledDataElement
	Distance comparer for point clouds where point type is SampledDataElement. More...
class	SampledDataElement
	A single element of a sampled data, contains vector of input parameters and vector of output values. More...
class	SampledDataSet
	Sampled data consisting of elements of which each contains vector of input parameters and output values. NOT thread safe. More...
class	InputOutputElementDefinition
	Base class for input or output data element definition for vector functions, approximations, etc. More...
class	InputElementDefinition
	Input data element definition for vector functions, approximations, etc. More...
class	OutputElementDefinition
	Input data element definition for vector functions, approximations, etc. More...
class	InputOutputDataDefiniton
	Definition of input and output data for vector functions, approximations, etc. Contains descriptiove information about individual eleemnts of input and output, default values and eventual bounds of input parameters, etc. More...
class	SampledDataElementDto
	DTO (data transfer object) for sampled data element (one point with vectors of input and output parameters). More...
class	SampledDataSetDto
	Data Transfer Object (DTO) for sampled data set. More...
class	InputOutputElementDefinitionDto
	DTO (data transfer object) for data element definition. More...
class	OutputElementDefinitionDto
	DTO (data transfer object) for data output element definition. More...
class	InputElementDefinitionDto
	DTO (data transfer object) for data input element definition. More...
class	InputOutputDataDefinitonDto
	DTO (data transfer object) for data definition that contains input and output elements. More...
interface	IBoundingBox
	Bounding box, defines minimum and maximum co-ordinates of domains, geometric objects and their groups. More...
class	BoundingBoxBase
	Base class for bounding boxes that define minimal and maximal co-ordinates of objects, groups of objects, and regions in space. More...
class	BoundingBox
	Bounding box, defines lower and upper bounds on vector quantities such as coordinates of geometrix objects, bounds of domains, etc. More...
class	BoundingBox3d
	A 3D bounding box. More...
class	BoundingBox2d
	A 2D bounding box. More...
class	BoundingBox1d
	An 1D bounding box. More...
struct	PhysicalConstant
	Data of a physical constant, including its value, standard error, units, symbol and description. This is alro used for derived SI units and non-SI units. More...
class	ConstMath
	Mathematical and physical constants. More...
class	ConstPhysical
	Physical constants including units and standard uncertainty. More...
class	SIPrefix
	SI prefixes for producing multiples of the original units (such as kilo- or micro-). More...
class	PhysicalUnit
	SI units (basic & derived) More...
class	NonSIUnit
	Non-SI units whose use is not encouraged or not allowed. More...
class	ConstMisc
	Miscellaneous constants. More...
class	Numeric
interface	IRealFunction
	Interface for real functions. More...
class	RealFunctionBase
	Base class for real functions of real variable. More...
class	RealFunction
	Represents a real function of a real variabe. More...
class	FunctionPolynomial
	Polynomial real functions of one variable. More...
class	ComposedFunction
	Composition of real functions. More...
class	Func
	Creation of a number of standard real mathematical functions in one dimension. Conttains subclasses for specific functions ans corresponding static creator methods. Creator methods come in 3 different version: for reference form of the function (e.g. just Exp[x]), for form shifted and stretched in x direction, and general form shifted and stretched in both directions. More...
interface	IRealFunctionParametric
	Parameterized real-valued functions of single variable. More...
interface	IRealFunctionOneParametric
	Parameterized real-valued functions of single variable. More...
class	RealFunctionParametric
	Base class for parameterized real-valued functions of single variable. Parameters that completely define the function out of parametric family of functions can be queried or set. Parameters are represented and stored as vector. More...
class	RealFunctionOneParametric
	Base class for one parametric families of real-valued functions of single variable. Parameters that completely define the function out of parametric family of functions can be queried or set. More...
class	RealFunctionParametricBase
	Base class for parameterized real-valued functions of single variable. Parameters that completely define the function out of parametric family of functions can be queried or set. More...
interface	IRealFunctionPenalty
	Interface that must be satisfied by penalty functions. Penalty functions have small values where argument is less than 0, and grow fast where their argument is positive. More...
class	ScalarFunctionBase
	Base class for scalar functions with affine transformation of co-ordinates. The reference function is defined while the actual function is defined as that reference function of transformed coordinates. If transformation is not specified then function reduces to the reference one. More...
class	ScalarFunctionLinear
	Quadratic scalar function of vector variable. Function is evaluated according to q(x) = (1/2)x^TGx + b^Tx + c where x is vector of parameters, G is constant Hessian matrix, b is vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	ScalarFunctionQuadratic
	Quadratic scalar function of vector variable. Function is evaluated according to q(x) = (1/2)x^TGx + b^Tx + c where x is vector of parameters, G is constant Hessian matrix, b is vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	ScalarFunctionExamples
	Various examples of scalar functions. More...
interface	IScalarFunction
	Scalar functions of vector arguments, with eventual affine transformation of parameters. If transformation is defined then actual function is evaluated as reference function evaluated at inverse affine transformed parameters. More...
interface	IScalarFunctionUntransformed
	Scalar functions of vector arguments. More...
interface	IScalarFunctionParametric
	Parameterized scalar functions with affine transformation of coordinates. More...
interface	IScalarFunctionOneParametric
class	ScalarFunctionParametric
	Base class for parameterized scalar functions with affine transformation of co-ordinates. Parameters that completely define the function out of parametric family of functions can be queried or set. Parameters are represented and stored as vector. Affine transformation of coordinates is included: the reference function evaluation must be defined while the actual function is defined as that reference function of transformed coordinates. If transformation is not specified then function reduces to the reference one. More...
class	ScalarFunctionOneParametric
	Base class for one parametric families of scalar functions with affine transformation of co-ordinates. Parameters that completely define the function out of parametric family of functions can be queried or set. Affine transformation of coordinates is included: the reference function evaluation must be defined while the actual function is defined as that reference function of transformed coordinates. If transformation is not specified then function reduces to the reference one. More...
class	ScalarFunctionParametricBase
	Base class for parameterized scalar functions with affine transformation of co-ordinates. Parameters that completely define the function out of parametric family of functions can be queried or set. Affine transformation of coordinates is included: the reference function evaluation must be defined while the actual function is defined as that reference function of transformed coordinates. If transformation is not specified then function reduces to the reference one. More...
class	ScalarFunctionRadial
	Radial scalar functions. More...
class	ScalarFunctionRadialOneParametric
	Base class for one parametric families of radial scalar functions with affine transformation of co-ordinates. Parameters that completely define the function out of parametric family of functions can be queried or set. Affine transformation of coordinates is included: the reference function evaluation must be defined while the actual function is defined as that reference function of transformed coordinates. If transformation is not specified then function reduces to the reference one. More...
class	ScalarFunctionRadialParametric
	Parametric scalar function. More...
class	ScalarFunctionRadialUntransformedOneParametric
	One parametric radial scalar function (dependent on one tunning parameter). More...
class	ScalarFunctionRadialUntransformed
	Radial scalar functions. More...
class	ScalarFunctionResults
	Storage for results of a scalar function. Includes parameters at which function was (or should be) evaluated, flags specifying what has been and what should be evaluated, calculated value, gradient and Hessian of the function in the specified point. More...
interface	IScalarFunctionResults
	Storage for results of a scalar function. Includes parameters at which function was (or should be) evaluated, flags specifying what has been and what should be evaluated, calculated value, gradient and Hessian of the function in the specified point. More...
class	ScalarFunctionTransformed
	Scalar function that is defined as some reference function evaluated at inverse affine-trasformed parameters. This class is typically used to convert scalar functions without affine transformation of coordinates (interface IScalafunctionUntransformed) to those that support affine transformation of coordinates. More...
class	ScalarFunctionUntransformedBase
	Base class for defining scalar functions without possibility of affine transformation of parameters. More...
class	VectorFunctionBase
	Base class for defining Vector functions whose evaluation is defined in bulk, and evaluation of individual components can not be performed directly. For these functioons, individual values and individual gradient or vector components are evaluated in such a way thet the function is first evaluated as whole, storing its results to an object implementing IVectorFunctionResults. More...
class	VectorFunctionBaseComponentWise
	Base class for defining Vector functions whose component-wise evaluation is defined directly. More...
class	VectorFunctionBaseGeneral
	Base class for VectorFunctionBase and VectorFunctionBaseComponentwise. In general, use VectorFunctionBase and VectorFunctionBase in order to derive from. More...
class	VectorFunctionExamples
	Various vector function examples. More...
interface	IVectorFunction
	Vector function of a vector argument. More...
interface	IVectorFunctionResults
	Vector function results. Used to transfer parameters input (e.g. vector of parameters, request flags) to the vector function and to store function output results (e.g. values, their gradients, error codes, and flags indicating what has actually been calculated). REMARKS: Property CopyReferences specifies whether only references are copied when individial object fields are assigned & set (when the property is true), or values are actually copied (when false - deep copy). Each setter method also has the variant that always copies only the reference (function name appended by "Reference"). This makes possible to avoid duplication of allocated data and also to avoid having different data with the same references. In the beginning of analysis functions, call ResetResults(). More...
class	VectorFunctionResults
	Vector function results. Used to transfer parameters input (e.g. vector of parameters, request flags) to the vector function and to store function output results (e.g. values, their gradients, error codes, and flags indicating what has actually been calculated). REMARKS: Property CopyReferences specifies whether only references are copied when individial object fields are assigned & set (when the property is true), or values are actually copied (when false - deep copy). Each setter method also has the variant that always copies only the reference (function name appended by "Reference"). This makes possible to avoid duplication of allocated data and also to avoid having different data with the same references. In the beginning of analysis functions, call ResetResults(). More...
interface	IFunc2d
	Represents scalar functions of 2 variables. More...
class	Func2dBaseNoHessian
	Base class for scalar functions of 2 variables (implementations of the IFunc2d interface). that do not implement calculation of the Hessian (second derivatives). Beside the IFunc2dinterface, this class also implements the IScalarFunctioninterface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func2dBaseNoGradient
	Base class for scalar functions of 2 variables (implementations of the IFunc2d interface). that do not implement calculation of function Hessian (second derivatives) or gradient. Beside the IFunc2dinterface, this class also implements the IScalarFunctioninterface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func2dBase
	Base class for scalar functions of 2 variables (base for implementation of IFunc2d interface). Beside the IFunc2dinterface, this class also implements the IScalarFunctioninterface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func2dVectorFormBase
	Base class for scalar functions of 2 variables (base for implementation of IFunc2d interface). Derive from this class when your basic implementations of evaluation methods are in vector form (parameters as vec2 struct).Beside the IFunc2d interface, this class also implements the IScalarFunction interface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func2dLinear
	Linear (Affine) function of 2 variables. Function is evaluated according to fl(x) = b^T*x + c where x is vector of parameters, b is the vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	Func2dQuadratic
	Quadratic function of 2 variables. Function is evaluated according to q(x) = (1/2)x^TGx + b^Tx + c where x is vector of parameters, G is constant Hessian matrix, b is the vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	Func2dExamples
	Example classes of type Func2d. More...
class	Func2dBasePlain_ToConsider
	Base class for scalar functions of 2 variables. This willl be base class for most of other classes that implement the IFunc2d interface. It provides a set of useful static methods. More...
interface	IFunc3d
	Represents scalar functions of 2 variables. More...
class	Func3dBaseNoHessian
	Base class for scalar functions of 3 variables (implementations of the IFunc3d interface). that do not implement calculation of the Hessian (second derivatives). Beside the IFunc3d interface, this class also implements the IScalarFunction interface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func3dBaseNoGradient
	Base class for scalar functions of 3 variables (implementations of the IFunc3d interface). that do not implement calculation of function Hessian (second derivatives) or gradient. Beside the IFunc3d interface, this class also implements the IScalarFunction interface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func3dBase
	Base class for scalar functions of 3 variables (base for implementation of IFunc3d interface). Beside the IFunc3d interface, this class also implements the IScalarFunction interface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func3dVectorFormBase
	Base class for scalar functions of 3 variables (base for implementation of IFunc3d interface). Derive from this class when your basic implementations of evaluation methods are in vector form (parameters as vec3 struct).Beside the IFunc3d interface, this class also implements the IScalarFunction interface. This does not affect efficiency but adds the functionality for using objects as general (untransformed) scalar functions. More...
class	Func3dLinear
	Linear (Affine) function of 3 variables. Function is evaluated according to fl(x) = b^T*x + c where x is vector of parameters, b is the vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	Func3dQuadratic
	Quadratic function of 3 variables. Function is evaluated according to q(x) = (1/2)x^TGx + b^Tx + c where x is vector of parameters, G is constant Hessian matrix, b is the vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). More...
class	Func3dExamples
	Example classes of type Func3d. More...
interface	IFunc3d2d
	Represents 3D vector functions of 2 variables. More...
class	Func3d2dBaseNoHessian
	Base class for 3D vector functions of 2 variables (implementations of the IFunc3d2d interface) that do not implement calculation of the Hessian (second derivatives). More...
class	Func3d2dBaseNoGradient
	Base class for 3D vector functions of 2 variables (implementations of the IFunc3d2d interface) that do not implement calculation of function Hessian (second derivatives) or gradient. More...
class	Func3d2dBase
	Base class for 3D vector functions of 2 variables (base for implementation of IFunc3d2d interface). More...
class	Func3d2dExamples
	Contains a number of example 3D vector functions of 2 variables. Many of the contained nested classes define interesting parametric surfaces. More...
class	GridGenerator1d
	Generates 1D grids with equidistant or geometrically grown intervals. More...
interface	IGridGenerator1d
	Interface for 1d grid generators. More...
class	GridGenerator1dBase
	Base class for 1D grid generators. More...
class	GridGenerator1dFunc
	Generates 1D grids with equidistant or geometrically grown intervals. More...
struct	vec2
	2D vector, struct implementation. More...
struct	mat2
	2D matrix, struct implementation. More...
class	Matrix2d
	Matrix in a 2 dimensional space. More...
struct	vec3
	3D vector, struct implementation. More...
struct	mat3
	3D matrix, struct implementation. More...
class	Matrix3d
	Matrix in a 3 dimensional space. More...
class	Field1
	A generic field of values of any type. Values must be allocated at once. More...
class	FieldCollection3d
	Collection of structured 3D fields of the same type. Fields are identified by their names. In principle, contained fields can be of different dimensions. More...
class	FieldCollection2d
	Collection of structured 2D fields of the same type. Fields are identified by their names. In principle, contained fields can be of different dimensions. More...
class	FieldCollection
	Collection of fields of the same type. Fields are identified by their names. In principle, contained fields can be of different dimensions. More...
class	Field
	A generic field of values of any type. Values must be allocated at once. More...
class	StructuredMeshGeometry2d
	Structured mesh geometry in 2 dimensions. More...
class	StructuredField2d
	Field where field elements are arranged in a 2 dimensional array. Usually represents a field over a structured 2D mesh. Elements can be accessed either through a single index running over all elements of the array, or by 2 indices indexing elements in 2 basic directions of the grid. The first index ("x direction") ie least significant and the last index is most significant. More...
class	StructuredMeshGeometry3d
	Structured mesh geometry in 3 dimensions. More...
class	StructuredField3d
	Field where field elements are arranged in a 3 dimensional array. Usually represents a field over a structured 3D mesh. Elements can be accessed either through a single index running over all elements of the array, or by 3 indices indexing elements in 3 basic directions of the grid. The first index ("x direction") ie least significant and the last index is most significant. More...
class	StructuredMesh2d3d
	2D structured mesh in 3D. Grid is 2D but it is embedded in 3D space. Type used for co-ordinates is vec3. More...
class	StructuredMesh2d
	Generic 2D structured mesh with collections of named scalar, vector, tensor and index fields. Fields are created on demand (lazy evaluation). More...
class	StructuredMesh3d
	Structured mesh in 3D. Type used for co-ordinates is vec3. More...
class	StructuredMesh3d
	Generic 3D structured mesh with collections of named scalar, vector, tensor and index fields. Fields are created on demand (lazy evaluation). More...
class	UnStructuredMesh2d
	2D structured mesh. Type used for co-ordinates and vectors is vec2. More...
class	UnstructuredMesh1d2d
	Unstructured mesh in 1D embedded in 2D space. Used e.g. for representation of curves in 2D.Type used for co-ordinates is vec2.Contains collections of collections of index, scalar, vector and tensor fields that are created on demand. More...
class	UnstructuredMesh1d3d
	Unstructured mesh in 1D embedded in 3D space. Used e.g. for representation of curves in 3D.Type used for co-ordinates is vec3.Contains collections of collections of index, scalar, vector and tensor fields that are created on demand. More...
class	UnstructuredMesh1d
	Generic 1D unstructured mesh with collections of named scalar, vector, tensor and index fields. Mesh contains geometry (inherited from UnstructuredMeshGeometry1d) and collection of index, scalar, vector and tensor fields.Fields are created on demand (lazy evaluation). More...
class	UnstructuredMesh2d
	Unstructured mesh in 2D. Type used for co-ordinates is vec2.Contains collections of collections of index, scalar, vector and tensor fields that are created on demand. More...
class	UnstructuredMesh2d
	Generic 2D unstructured mesh with collections of named scalar, vector, tensor and index fields. Mesh contains geometry (inherited from UnstructuredMeshGeometry2d) and collection of index, scalar, vector and tensor fields.Fields are created on demand (lazy evaluation). More...
class	UnstructuredMesh3d
	Unstructured mesh in 3D. Type used for co-ordinates is vec3.Contains collections of collections of index, scalar, vector and tensor fields that are created on demand. More...
class	UnstructuredMesh3d
	Generic 3D unstructured mesh with collections of named scalar, vector, tensor and index fields. Mesh contains geometry (inherited from UnstructuredMeshGeometry3d) and collections of index, scalar, vector and tensor fields.Fields are created on demand (lazy evaluation). More...
class	UnstructuredMeshGeometry1d
	Geometry and topology of an unstructured 1D mesh. Presents both connected meshes and unconnected sets of points. More...
class	UnstructuredMeshGeometry2d
	Geometry and topology of an unstructured 2D mesh. Presents both connected meshes and unconnected sets of points. More...
class	UnstructuredMeshGeometry3d
	Geometry and topology of an unstructured 2D mesh. Presents both connected meshes and unconnected sets of points. More...
interface	IDistanceComparer
	Interface used for distance comparers in point clouds. More...
class	DistanceComparer
	Class that is used to calculate and compare distances between point containers. More...
class	PointCloud
	Cloud of points, contains a list of containers of objects that include point coordinates. More...
class	PointCloudVector
	Cloud of points where each poinr is represented by the IVector object, contains a list of containers of vector objects that include point coordinates. More...
class	PointContainerVector
	Container class that contains a single vector point plus all the data that are necessary for searching and re-connecting operations on points. More...
class	DistanceComparerVector
interface	IPointContainer
	Basic interface for point container classes. More...
class	PointContainer
	Container class that contains a single point plus all the data that are necessary for searching and re-connecting operations on points. More...
class	PointLink
	Contains a pointer (link) to another point container. More...
class	Vector2d
	Vector or point in a 2 dimensional space. More...
class	Vector3d
	Vector or point in a 3 dimensional space. More...
struct	geom3
	Provides static methods used in 3D. More...
class	Geometry3D
	Provides static methods of 3D analytic geometry. More...
class	Matrix
	Real matrix class. Some operations are performed by the MathNet.Numerics.LinearAlgebra.Matrix class. More...
interface	IMatrix
	Generic Matrix interface. More...
interface	IMatrix
	Real matrix interface. More...
class	MatrixExtensions
	Extension methods for IMatrix interface. More...
class	MatrixBase
	Base class for matrices. More...
class	MatrixStore
	Matrix store. Stores matrix objects for reuse.Can be used for storage fo matrices with specific dimension (default) or for torage of any non-null matrices. More...
class	MatrixStore
	Matrix store. Stores matrix objects for reuse.Can be used for storage fo matrices with specific dimension (default) or for torage of any non-null matrices. More...
interface	ILinearSolver
	Classes that can be used for solution of linear systems of equations. This interface is mainly used for matrix dexompositions. More...
class	LinearSolverBase
class	LUDecomposition
	LU decomposition of a matrix. Objects of this class are immutable. Decomposition is calculated at initialization, and the decomposed matrix can not be replaced later. More...
class	QRDecomposition
	QR decomposition of a matrix. Objects of this class are immutable. Decomposition is calculated at initialization, and the decomposed matrix can not be replaced later. More...
class	CholeskyDecomposition
	Cholesky decomposition of a matrix. Available for symmetric positive definite matrices. Objects of this class are immutable. Decomposition is calculated at initialization, and the decomposed matrix can not be replaced later. More...
class	EigenValueDecomposition
	Eigenvalue decomposition of a matrix. Calculates eigenvectors and eigenvalues of a real matrix.Objects of this class are immutable. Decomposition is calculated at initialization, and the decomposed matrix can not be replaced later. More...
class	SingularValueDecomposition
	Singular value decomposition of a matrix. Calculates eigenvectors and eigenvalues of a real matrix.Objects of this class are immutable. Decomposition is calculated at initialization, and the decomposed matrix can not be replaced later. More...
class	ParallelJobContainerBase
	Contains input data and results of a parallel job to be executed, oropertied indicating the state of the job, and methods for interaction with job performer and dispatcher. More...
class	ParallelJobContainerGen
	General purpose parallel job container that contains methods for running the job in on the same machine thread. Contains many auxiliary methods for testing and for adaptation of parallel jobs concepts to different tasks. Contains input data and results of a parallel job to be executed, oropertied indicating the state of the job, and methods for interaction with job performer and dispatcher. More...
class	ParallelJobServerGen
	Parallel job server for job containers that inherit from ParallelJobContainerGen. More...
class	ParallelJobDispatcherGen
	Parallel job dispatcher for job containers that inherit from ParallelJobContainerGen. More...
class	ParallelJobServerBase
	Parallel job server. Waits for job requests and executes them in a parallel thread. More...
class	ParallelJobDispatcherBase
	Parallel job dispatcher. Accepts job requests and dispatches jobs to parallel job servers when available and redy to run a job. More...
class	ParallelJobDispatcherBase
	Base class for parallel job dispatchers. Accepts job requests and dispatches jobs to parallel job servers when available and redy to run a job. More...
interface	IRandomGenerator
	Uniform random number generator. More...
class	RandomGenerator
	Default generator of uniformly distributed random numbers. Provides a global generator and a static function for generating new generators. Currently, the generator used is the system's generator built in C#. More...
class	RandGeneratorThreadSafe
	Generator of uniformly distributed random numbers. Based on the default random generator. Instance members are thread safe! More...
class	RandomGeneratorSystem
	Generator of uniformly distributed random numbers. Based on system random generator. WARNING: Instance members are not guaranteed to be thread safe! More...
struct	Scalar
	Represents a real number. More...
struct	Counter
	Represents a real number. More...
class	SpeedTestCpu
	Various utilities for testing computational speed of the current system. More...
class	AffineTransformation
	Implementation of a general affine transformation where dimensions of the original and transformed space can be different. More...
class	AffineTransformationDiagonal
	Affine transformation with diagonal tansformation matrix. More...
class	AffineTransformationDiagonal0_TO_DELETE
	Implementation of a general affine transformation. More...
interface	IAffineTransformation
	Affine Transformation. More...
class	AffineTransformationSquare
	Invertible Affine transformation with square transformation matrix. More...
class	Vector
	Real vector class. More...
interface	IVector
	Generic Vector interface. More...
interface	IVector
	Real vector intrface. More...
class	VectorExtensions
	Extension methods for vector classes. More...
class	VectorBase
	Base class for real vectors. More...
class	VectorStore
	Vector store. Stores Vector objects for reuse.Can be used for storage fo vectors with specific dimension (default) or for torage of any non-null vectors. More...
class	VectorStore
	Vector store. Stores Vector objects for reuse.Can be used for storage fo vectors with specific dimension (default) or for torage of any non-null vectors. More...
interface	IAnalysis
	Interface for direct analysis classes used in optimization problems. More...
class	AnalysisBase
	Base class for direct analysis classes that define optimization problems. Represent the complete definition of the optimization problem (without initial parameters). Concrete analysis classes (e.g. representing optimization examples or complex direct problems solved through numerical simulation) should be derived from this class. More...
class	AnalysisComparer
	Compares two sets of analysis results in various different ways. More...
class	AnalysisResultsExtensions
	Extension methods for analysis results classes. More...
class	AnalysisResults
	Single objective optimization analysis results. Used to transfer parameters input (e.g. vector of parameters, request flags) to the analysis function and to store analysis output results (e.g. objective and constraint functions, their gradients, error codes, and flags indicating what has actually been calculated). REMARKS: Property CopyReferences specifies whether only references are copied when individial object fields are assigned & set (when the property is true), or values are actually copied (when false - deep copy). Each setter method also has the variant that always copies only the reference (function name appended by "Reference"). This makes possible to avoid duplication of allocated data and also to avoid having different data with the same references. AGREEMENTS: Optimization problem is defined as minimize f(x), subject to: c_i(x)<=0, i=0...NI-1 c_j(x)=0, j=NI...NI+NE-1. Here x is vector of parameters, f(x) is the objective function, and c_i(x) and c_j(c) are constraint functions. NI is number of inequality constraints and NE is number of equality constraints. If there are equality constraints then they are listed after inequality constraints. More...
class	PenaltyEvaluator
	Evaluation of penalty functions. More...
interface	IAnalysisResults
	Single objective optimization analysis results. Used to transfer parameters input (e.g. vector of parameters, request flags) to the analysis function and to store analysis output results (e.g. objective and constraint functions, their gradients, error codes, and flags indicating what has actually been calculated). REMARKS: Property CopyReferences specifies whether only references are copied when individial object fields are assigned & set (when the property is true), or values are actually copied (when false - deep copy). Each setter method also has the variant that always copies only the reference (function name appended by "Reference"). This makes possible to avoid duplication of allocated data and also to avoid having different data with the same references. In the beginning of analysis functions, call ResetResults(). More...
interface	IPenaltyEvaluator
	Classes that evaluates penalty terms corresponding to a specific penalty function. More...
class	OptFileAnalysisServer
	File analysis server. Performs direct analyses by request. More...
class	OptFileAnalysisClient
	File analysis client. Passes direct analysis request to the server and gets analysis results from it. More...
class	OptFileConst
	Constants used in definition of optimization servers and clients working through file system. More...
class	OptFileManager
	Performs elementary operations for optimization and analysis servers and clients that exchange data and messages through files. Each such server can serve a single request at a time (single thread of execution). Client-server pair (or pairs, when both analysis and optimization are performed in this way) has (or have) a single directory for exchanging data and messages. If there is a need for analyses running in parallel, each thread must have its own directory and its own client-server pair. More...
interface	IOptimizationData
	Information about optimization data and algorithm parameters. More...
class	OptimizationDataBase
	Base class for holding information about optimization data and algorithm parameters. More...
class	OptimizationData
	Information about optimization data and algorithm parameters. More...
interface	IOptimizationResults
	Storage of optimization results. Stores optimal results, best current guess, etc. More...
class	OptimizationResultsBase
	Base class for storage of optimization results. Stores optimal analysis results, best current guess, etc. More...
class	OptimizationResults
interface	IOptimizer
	Interface for optimization algorithms. $A Igor Feb10;. More...
class	OptimizerBase
class	ExampleMathClass
	Example class that derives from the M class. Implements a method that uses basic mathematical functions implemented in M. More...
class	M
	Defines some mathematical functions to be used in derived and other classes. * Standard mathematical functions and constants with short names are implemented, e.g. sin() instesd of Math.Sin(). These functions are public and static such that they can be used out of the derived classes, too.* In particular, some script classes derive from this one, in order to use simple-named mathematical functions.** Some functions are defined with several names, in order to reduce probability of errors in scripts. More...
class	MExt
	Defines some mathematical functions to be used in derived classes. In addition to functions defined in the M class, functions are defined under other names, and some additional functions are also defined. * Standard mathematical functions and constants with short names are implemented, e.g. sin() instesd of Math.Sin(). These functions are static such that they can be used out of the derived classes, too.* In particular, some script classes derive from this one, in order to use simple-named mathematical functions.** Some functions are defined with several names, in order to reduce probability of errors in scripts. More...
class	TestClass
class	Func2dFromScalarFunction
	Scalar function of 2 variables that is based on a general scalar function of vector argument. More...
class	Func2dFromScalarScript
	Scalar function of 2 variables that is generated from expressions for evaluation of function value, gradient components, etc. More...
class	Func3dFromScalarFunction
	Scalar function of 3 variables that is based on a general scalar function of vector argument. More...
class	Func3dFromScript
	Scalar function of 3 variables that is generated from expressions for evaluation of function value, gradient components, etc. More...
Enumerations
enum	SI { m, kg, s, A, K, cd, mol }
	SI base units (International system of units). More...
enum	Operation { None = 0, Addition, Subtraction, Multiplication, Division, Composition, UnaryPlus, UnaryMinus }
enum	ParallelJobState { Uninitialized = 0, Initialized, Unemployed, DataReady, EnQueued, Executing, ResultsReady, Aborted, ResultsProcessed }
	Job states. More...
enum	ParallelServerState { Uninitialized = 0, Idle, Executing, Inactive }
	Defines state of the parallel server. More...
Functions
delegate RealFunction	DlgFunctionTransformation (RealFunction f)
	Operators on univariate real functions, transforms a function to obtain another one.
delegate double	DlgFunctionValue (double x)
	Represents real function of real variable.
delegate double	DlgFunctionHigherDerivative (double x, int order)
	Represents derivative of real function of real variable of arbitrary order.
delegate double	DlgFunctionParametric (double x, Vector p)
	Reprents parametric family of real functions of real variable.
delegate double	DlgFunctionParametricHigherDerivative (double x, Vector p, int order)
	Arbitrary order derivative of parametric family of real functions with respect to function argument.
delegate double	DistanceDelegate< in PointType > (PointType pt1, PointType pt2)
delegate void	ParallelJobCallback (ParallelJobContainerBase jobContainer)
	Callback delegate that can be assigned to job container for execution at various notification events (such as job started, etc.).
delegate ResultType	SimpleFunctionDelegate< InputType, ResultType > (InputType input)
	A generic delegate that can contain simple functions that take one input argument of the specified type, and return result of another type.
delegate void	ParallelJobCallbackGen< InputType, ResultType > (ParallelJobContainerGen< InputType, ResultType > jobContainer)
	Callback delegate that can be assigned to job container for execution at various notification events (such as job started, etc.). Used in simple events.

Enumeration Type Documentation

enum IG::Num::SI

SI base units (International system of units).

Enumerator:

m	Metre, an SI unit for length.
kg	Kilogram, an SI unit for mass.
s	Second, an SI unit for time.
A	Ampere, an SI unit for electric current.
K	Kelvin, an SI unit for thermodynamic temperature.
cd	Candela, an SI unit for luminous intensity.
mol	Mole, an SI unit for amount of substance.

enum IG::Num::Operation

Enumerator:

None
Addition
Subtraction
Multiplication
Division
Composition
UnaryPlus
UnaryMinus

enum IG::Num::ParallelJobState

Job states.

$A Igor Mar08;

Enumerator:

Uninitialized
Initialized
Unemployed
DataReady
EnQueued
Executing
ResultsReady
Aborted
ResultsProcessed

enum IG::Num::ParallelServerState

Defines state of the parallel server.

Enumerator:

Uninitialized
Idle
Executing
Inactive

Function Documentation

delegate RealFunction IG::Num::DlgFunctionTransformation ( RealFunction f )

Operators on univariate real functions, transforms a function to obtain another one.

Parameters:

f	Function that is transformed.

Returns:: Transformed function.

$A Igor xx;

delegate double IG::Num::DlgFunctionValue ( double x )

Represents real function of real variable.

$A Igor xx;

delegate double IG::Num::DlgFunctionHigherDerivative	(	double	x,
		int	order
	)

Represents derivative of real function of real variable of arbitrary order.

$A Igor xx;

delegate double IG::Num::DlgFunctionParametric	(	double	x,
		Vector	p
	)

Reprents parametric family of real functions of real variable.

$A Igor xx;

delegate double IG::Num::DlgFunctionParametricHigherDerivative	(	double	x,
		Vector	p,
		int	order
	)

Arbitrary order derivative of parametric family of real functions with respect to function argument.

$A Igor xx;

delegate double IG::Num::DistanceDelegate< in PointType >	(	PointType	pt1,
		PointType	pt2
	)

delegate void IG::Num::ParallelJobCallback ( ParallelJobContainerBase jobContainer )

Callback delegate that can be assigned to job container for execution at various notification events (such as job started, etc.).

Parameters:

jobContainer Job container that executed the callback.

delegate ResultType IG::Num::SimpleFunctionDelegate< InputType, ResultType > ( InputType input )

A generic delegate that can contain simple functions that take one input argument of the specified type, and return result of another type.

Template Parameters:

InputType	Type of the function input argument.
ResultType	Type of function result (returned by the function).

Parameters:

input Input argument of the function.

Returns:: Result of calculation performed by the function.

delegate void IG::Num::ParallelJobCallbackGen< InputType, ResultType > ( ParallelJobContainerGen< InputType, ResultType > jobContainer )

Callback delegate that can be assigned to job container for execution at various notification events (such as job started, etc.). Used in simple events.

Template Parameters:

InputType	Type of parallel jobs input data.
ResultType	Type of parallel jobs results data.

Parameters:

jobContainer Job container that executed the callback.

IG::Num Namespace Reference

Namespaces

Classes

Enumerations

Functions

Enumeration Type Documentation

Function Documentation