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IGLib
1.7.2
The IGLib base library for development of numerical, technical and business applications.
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IGLib
1.7.2
The IGLib base library for development of numerical, technical and business applications.
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Namespaces | |
| package | Experimental |
Classes | |
| 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... | |
| class | AffineTransformationSquare |
| Invertible Affine transformation with square transformation matrix. 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 | AnalysisRequestDto |
| DTO (Data Transfer Objects) for storing contents of direct analysis request (in optimization problems). 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 and 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) less or equal 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 | AnalysisResultsDto |
| DTO (Data Transfer Objects) for storing contents of direct analysis request (in optimization problems). More... | |
| class | AnalysisResultsExtensions |
| Extension methods for analysis results classes. 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 | BoundingBox1d |
| An 1D bounding box. More... | |
| class | BoundingBox2d |
| A 2D bounding box. More... | |
| class | BoundingBox3d |
| A 3D bounding box. 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 | CholeskyDecomposition |
| Cholesky decomposition of a matrix. Available for symmetric positive definite matrices. More... | |
| class | ComposedFunction |
| Composition of real functions. More... | |
| class | ConstMath |
| Mathematical and physical constants. More... | |
| class | ConstMisc |
| Miscellaneous constants. More... | |
| class | ConstPhysical |
| Physical constants including units and standard uncertainty. More... | |
| struct | Counter |
| Represents a real number. More... | |
| class | DistanceComparer< PointContainerType, PointType > |
| Class that is used to calculate and compare distances between point containers. More... | |
| class | DistanceComparerSampledDataElement |
| Distance comparer for point clouds where point type is SampledDataElement. More... | |
| class | DistanceComparerVector |
| class | EigenValueDecomposition |
| Eigenvalue decomposition of a matrix. More... | |
| class | ExampleMathClass |
| Example class that derives from the M class. Implements a method that uses basic mathematical functions implemented in M. More... | |
| class | Field1< TElement > |
| A generic field of values of any type. Values must be allocated at once. More... | |
| class | Field< TElement > |
| A generic field of values of any type. Values must be allocated at once. More... | |
| class | FieldCollection2d< TField, TElement > |
| Collection of structured 2D fields of the same type. Fields are identified by their names. More... | |
| class | FieldCollection3d< TField, TElement > |
| Collection of structured 3D fields of the same type. Fields are identified by their names. More... | |
| class | FieldCollection< TField, TElement > |
| Collection of fields of the same type. Fields are identified by their names. 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... | |
| class | Func2dBase |
| Base class for scalar functions of 2 variables (base for implementation of IFunc2d interface). 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. 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). More... | |
| class | Func2dBasePlain_ToConsider |
| Base class for scalar functions of 2 variables. More... | |
| class | Func2dExamples |
| Example classes of type Func2dBase. More... | |
| 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 | Func2dLinear |
| Linear (Affine) function of 2 variables. More... | |
| class | Func2dQuadratic |
| Quadratic function of 2 variables. More... | |
| class | Func2dVectorFormBase |
| Base class for scalar functions of 2 variables (base for implementation of IFunc2d interface). More... | |
| class | Func3d2dBase |
| Base class for 3D vector functions of 2 variables (base for implementation of IFunc3d2d interface). 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 | 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 | Func3d2dExamples |
| Contains a number of example 3D vector functions of 2 variables. More... | |
| class | Func3dBase |
| Base class for scalar functions of 3 variables (base for implementation of IFunc3d interface). 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. 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). More... | |
| class | Func3dExamples |
| Example classes of type Func3dBase. 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... | |
| class | Func3dLinear |
| Linear (Affine) function of 3 variables. More... | |
| class | Func3dQuadratic |
| Quadratic function of 3 variables. More... | |
| class | Func3dVectorFormBase |
| Base class for scalar functions of 3 variables (base for implementation of IFunc3d interface). More... | |
| class | FunctionPolynomial |
| Polynomial real functions of one variable. More... | |
| struct | geom3 |
| Provides static methods used in 3D More... | |
| class | Geometry3D |
| Provides static methods of 3D analytic geometry. More... | |
| class | GridGenerator1d |
| Generates 1D grids with equidistant or geometrically grown intervals. More... | |
| class | GridGenerator1dBase |
| Base class for 1D grid generators. More... | |
| class | GridGenerator1dFunc |
| Generates 1D grids with equidistant or geometrically grown intervals. More... | |
| interface | IAffineTransformation |
| Affine Transformation. More... | |
| interface | IAnalysis |
| Interface for direct analysis classes used in optimization problems. 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 and 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 | IBoundingBox |
| Bounding box, defines minimum and maximum co-ordinates of domains, geometric objects and their groups. More... | |
| interface | IDistanceComparer< PointContainerType, PointType > |
| Interface used for distance comparers in point clouds. More... | |
| interface | IFunc2d |
| Represents scalar functions of 2 variables. More... | |
| interface | IFunc3d |
| Represents scalar functions of 2 variables. More... | |
| interface | IFunc3d2d |
| Represents 3D vector functions of 2 variables. More... | |
| interface | IGridGenerator1d |
| Interface for 1d grid generators. More... | |
| interface | ILinearSolver |
| Classes that can be used for solution of linear systems of equations. More... | |
| interface | IMatrix |
| Real matrix interface. More... | |
| interface | IMatrix< ComponentType > |
| Generic Matrix interface. More... | |
| interface | INeuralApproximator |
| Approximator of response by using neural networks. $A Igor Mar11; More... | |
| interface | INeuralModel |
| Interface for artificial neural network -based models that we can operate on. More... | |
| class | InputElementDefinition |
| Input data element definition for vector functions, approximations, etc. More... | |
| class | InputElementDefinitionDto |
| DTO (data transfer object) for data input element definition. 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 | InputOutputDataDefinitonDto |
| DTO (data transfer object) for data definition that contains input and output elements. More... | |
| class | InputOutputElementDefinition |
| Base class for input or output data element definition for vector functions, approximations, etc. More... | |
| class | InputOutputElementDefinitionDto< ElementType > |
| DTO (data transfer object) for data element definition. More... | |
| interface | IOptimizationData |
| Information about optimization data and algorithm parameters. More... | |
| interface | IOptimizationResults |
| Storage of optimization results. Stores optimal results, best current guess, etc. More... | |
| interface | IOptimizer |
| Interface for optimization algorithms. $A Igor Feb10; More... | |
| interface | IPenaltyEvaluator |
| Classes that evaluates penalty terms corresponding to a specific penalty function. More... | |
| interface | IPointContainer< PointType > |
| Basic interface for point container classes. More... | |
| interface | IRandomGenerator |
| Uniform random number generator. More... | |
| interface | IRealFunction |
| Interface for real functions. More... | |
| interface | IRealFunctionOneParametric |
| Parameterized real-valued functions of single variable. More... | |
| interface | IRealFunctionParametric |
| Parameterized real-valued functions of single variable. 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... | |
| 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... | |
| 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 | IScalarFunctionOneParametric |
| interface | IScalarFunctionParametric |
| Parameterized scalar functions with affine transformation of coordinates. 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... | |
| interface | IScalarFunctionUntransformed |
| Scalar functions of vector arguments. More... | |
| interface | IVector |
| Real vector intrface. More... | |
| interface | IVector< T > |
| Generic Vector interface More... | |
| interface | IVectorApproximator |
| Interface for vector function approximators. 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 and 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 | LinearBasis |
| Vector function containing lineer basis in a n-dimensional vector space. Composed of n+1 functions: 1, x1, ..., xn. More... | |
| class | LinearBasisSafer |
| The same as LinearBasis, just that it has more meaningful error reporting (but is therefore slower). More... | |
| class | LinearSolverBase |
| class | LUDecomposition |
| LU decomposition of a matrix. More... | |
| class | M |
| Defines some mathematical functions to be used in derived and other classes. More... | |
| struct | mat2 |
| 2D matrix, struct implementation. More... | |
| struct | mat3 |
| 3D matrix, struct implementation. More... | |
| class | Matrix |
| Real matrix class. Some operations are performed by the MathNet.Numerics.LinearAlgebra.Matrix class. More... | |
| class | Matrix2d |
| Matrix in a 2 dimensional space. More... | |
| class | Matrix3d |
| Matrix in a 3 dimensional space. More... | |
| class | MatrixBase |
| Base class for matrices. More... | |
| class | MatrixExtensions |
| Extension methods for IMatrix interface. More... | |
| class | MatrixStore |
| Matrix store. More... | |
| class | MatrixStore< T > |
| Matrix store. 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. More... | |
| class | NamespaceDoc |
| This namespace contains various numerical classes. More... | |
| class | NeuralApproximatorAforgeFake |
| class | NeuralApproximatorAForgeFakeDto |
| A data transfer object (DTO) for the NeuralApproximatorAforge class. $A Igor Mar11; More... | |
| class | NeuralApproximatorAforgeIT |
| Approximator of response by using neural networks, based on the AforgeDotNet library. $A Igor Mar11; More... | |
| class | NeuralApproximatorBase |
| Base class for neural network approximators. More... | |
| class | NeuralApproximatorDtoBase |
| A data transfer object (DTO) for neural approximation classes that implement the INeuralApproximator interface. $A Igor Mar11; More... | |
| class | NeuralApproximatorDtoBase< Type > |
| A data transfer object (DTO) for neural approximation classes that implement the INeuralApproximator interface. $A Igor Mar11; More... | |
| class | NeuralTrainingLimits |
| Contains Parameters that define neural network architecture limits and trainig parameter limits. More... | |
| class | NeuralTrainingLimitsDto |
| Transfer Object (DTO) for neural network training limits. More... | |
| class | NeuralTrainingParameters |
| Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms. More... | |
| class | NeuralTrainingParametersDto |
| Transfer Object (DTO) for neural network training set. More... | |
| class | NeuralTrainingTable |
| Contains Parameters that define neural network architecture and trainig limits, together with achieved results after training such as various error norms. More... | |
| class | NeuralTrainingTableDto |
| Transfer Object (DTO) for neural network training results. More... | |
| class | NonSIUnit |
| Non-SI units whose use is not encouraged or not allowed More... | |
| class | Numeric |
| class | OptFileAnalysisClient |
| File analysis client. Passes direct analysis request to the server and gets analysis results from it. More... | |
| class | OptFileAnalysisServer |
| File analysis server. Performs direct analyses by request. 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... | |
| class | OptimizationData |
| Information about optimization data and algorithm parameters. More... | |
| class | OptimizationDataBase |
| Base class for holding information about optimization data and algorithm parameters. More... | |
| class | OptimizationResults |
| class | OptimizationResultsBase |
| Base class for storage of optimization results. Stores optimal analysis results, best current guess, etc. More... | |
| class | OptimizerBase |
| class | OutputElementDefinition |
| Input data element definition for vector functions, approximations, etc. More... | |
| class | OutputElementDefinitionDto |
| DTO (data transfer object) for data output element definition. 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< InputType, ResultType > |
| 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. 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... | |
| class | ParallelJobDispatcherBase< JobContainerType > |
| Parallel job dispatcher. Accepts job requests and dispatches jobs to parallel job servers when available and redy to run a job. More... | |
| class | ParallelJobDispatcherGen< InputType, ResultType > |
| Parallel job jerver for job containers that inherit from ParallelJobContainerGen{InputType, ResultType}. More... | |
| class | ParallelJobDispatcherGen< InputType, ResultType, JobContainerType > |
| Parallel job dispatcher for job containers that inherit from ParallelJobContainerGen{InputType, ResultType}. More... | |
| class | ParallelJobServerBase< JobContainerType > |
| Parallel job server. Waits for job requests and executes them in a parallel thread. More... | |
| class | ParallelJobServerGen< InputType, ResultType > |
| Parallel job server for job containers that inherit from ParallelJobContainerGen{InputType, ResultType}. More... | |
| class | ParallelJobServerGen< InputType, ResultType, JobContainerType > |
| Parallel job server for job containers that inherit from ParallelJobContainerGen{IT,RT}. More... | |
| class | PenaltyEvaluator |
| Evaluation of penalty functions. 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 | PhysicalUnit |
| SI units (basic and derived) More... | |
| class | PointCloud< PointContainerType, PointType > |
| Cloud of points, contains a list of containers of objects that include point coordinates. More... | |
| class | PointCloud< PointLinkType, PointContainerType, PointType > |
| Cloud of points, contains a list of containers of objects that include point coordinates. 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 | 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 | PointContainer< PointContainerType, PointType > |
| Container class that contains a single point plus all the data that are necessary for searching and re-connecting operations on points. More... | |
| class | PointContainer< PointLinkType, PointContainerType, PointType > |
| Container class that contains a single point plus all the data that are necessary for searching and re-connecting operations on points. 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 | 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 | PointLink< PointContainerType, PointType > |
| Contains a pointer (link) to another point container. More... | |
| class | PointLink< PointLinkType, PointContainerType, PointType > |
| Contains a pointer (link) to another point container. More... | |
| class | QRDecomposition |
| QR decomposition of a matrix. More... | |
| class | QuadraticBasis |
| Vector function containing quadratic basis in a n-dimensional vector space. Composed of (n+1)*(n+2)/2 functions: 1, x_1, ..., x_n, 0.5*x_1^2, 0.5*x_2^2, ..., 0.5*x_n^2, x_1*x_2, x_1*x_3, ..., x_1*x_n, ..., x_2*x_3, ..., x_2*x_n, ..., ..., x_n-1*x_n. More... | |
| class | QuadraticBasisSafer |
| The same as QuadraticBasis, just that it has more meaningful exceptions. More... | |
| class | RandGeneratorThreadSafe |
| Generator of uniformly distributed random numbers. Based on the default random generator. Instance members are thread safe! More... | |
| class | RandomGaussian |
| Gaussian 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 | RandomGeneratorSystem |
| Generator of uniformly distributed random numbers. Based on system random generator. WARNING: Instance members are not guaranteed to be thread safe! More... | |
| class | RealFunction |
| Represents a real function of a real variabe. More... | |
| class | RealFunctionBase |
| Base class for real functions of real variable. 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 | 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 | 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... | |
| class | SampledDataCsv |
| Base class for CSV (comma separated files) representation, importer and exporter of sampled data and data definitions. More... | |
| class | SampledDataElement |
| A single element of a sampled data, contains vector of input parameters and vector of output values. More... | |
| class | SampledDataElementDto |
| DTO (data transfer object) for sampled data element (one point with vectors of input and output parameters). More... | |
| class | SampledDataSet |
| Sampled data consisting of elements of which each contains vector of input parameters and output values. More... | |
| class | SampledDataSetDto |
| Data Transfer Object (DTO) for sampled data set. More... | |
| struct | Scalar |
| Represents a real number. 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 | ScalarFunctionConstant |
| Constant scalar function of vector variable. Function is evaluated according to f(x) = c where x is vector of parameters, and c is the constant scalar term (function value at x=0). More... | |
| class | ScalarFunctionExamples |
| Various examples of scalar functions. More... | |
| class | ScalarFunctionLinear |
| Linear scalar function of vector variable. Function is evaluated according to q(x) = b^T*x + c where x is vector of parameters, b is vector of linear coefficients (gradient at x=0) and c is the scalar term (function value at x=0). 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 | 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 | 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 | ScalarFunctionQuadratic |
| Quadratic scalar function of vector variable. Function is evaluated according to q(x) = (1/2)*x^T*G*x + b^T*x + 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 | 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 | ScalarFunctionRadialUntransformed |
| Radial scalar functions. More... | |
| class | ScalarFunctionRadialUntransformedOneParametric |
| One parametric radial scalar function (dependent on one tunning parameter). 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... | |
| class | ScalarFunctionScriptController |
| Class for building scalar functions from scripts, used by GUI elements. More... | |
| class | ScalarFunctionScriptControllerBase< ScalarFunctionType > |
| Base class for building scalar functions from scripts. This is currently an interrmediate class between the DTO and scalar function, and will probably be gradually replaced. More... | |
| class | ScalarFunctionScriptDto |
| DTO (data transfer object) for vector interface (IVector). More... | |
| class | ScalarFunctionScriptDtoBase< FunctionControllerType > |
| Base class for various DTO (Data Transfer Objects) for scalar function controllers. Used to store a state of a scalar function. 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 IScalarFunctionUntransformed) 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 | SimKosecConst |
| Constants for (optimization) interface with the simulation code of Gregor Kosec. More... | |
| class | SimKosecFileManagerBase |
| File manager for interfacing (for optimization purposes) the simulation code of Gregor Kosec. 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 | SimKosecFileManagerConvBase |
| Base class for interface with simulator of G. Kosec for convection problems in a cave with obstacles. More... | |
| class | SingularValueDecomposition |
| Singular value decomposition of a matrix. More... | |
| class | SIPrefix |
| SI prefixes for producing multiples of the original units (such as kilo- or micro-). More... | |
| class | SpeedTestCpu |
| Various utilities for testing computational speed of the current system. More... | |
| class | StructuredField2d< TElement > |
| Field where field elements are arranged in a 2 dimensional array. Usually represents a field over a structured 2D mesh. More... | |
| class | StructuredField3d< TElement > |
| Field where field elements are arranged in a 3 dimensional array. Usually represents a field over a structured 3D mesh. More... | |
| class | StructuredMesh2d3d |
| 2D structured mesh in 3D. More... | |
| class | StructuredMesh2d< TCoord, TIndexField, TIndex, TScalarField, TScalar, TVectorField, TVector, TTensorField, TTensor > |
| Generic 2D structured mesh with collections of named scalar, vector, tensor and index fields. More... | |
| class | StructuredMesh3d |
| Structured mesh in 3D. More... | |
| class | StructuredMesh3d< TCoord, TIndexField, TIndex, TScalarField, TScalar, TVectorField, TVector, TTensorField, TTensor > |
| Generic 3D structured mesh with collections of named scalar, vector, tensor and index fields. More... | |
| class | StructuredMeshGeometry2d< TCoord > |
| Structured mesh geometry in 2 dimensions. More... | |
| class | StructuredMeshGeometry3d< TCoord > |
| Structured mesh geometry in 3 dimensions. More... | |
| class | TestClass |
| class | TestTrainingParametersComparers |
| Class for testing of Comparers for NeuralTrainingParameters. More... | |
| class | UnstructuredMesh1d2d |
| Unstructured mesh in 1D embedded in 2D space. More... | |
| class | UnstructuredMesh1d3d |
| Unstructured mesh in 1D embedded in 3D space. More... | |
| class | UnstructuredMesh1d< TCoord, TIndexField, TIndex, TScalarField, TScalar, TVectorField, TVector, TTensorField, TTensor > |
| Generic 1D unstructured mesh with collections of named scalar, vector, tensor and index fields. More... | |
| class | UnStructuredMesh2d |
| 2D structured mesh. More... | |
| class | UnstructuredMesh2d |
| Unstructured mesh in 2D. More... | |
| class | UnstructuredMesh2d< TCoord, TIndexField, TIndex, TScalarField, TScalar, TVectorField, TVector, TTensorField, TTensor > |
| Generic 2D unstructured mesh with collections of named scalar, vector, tensor and index fields. More... | |
| class | UnstructuredMesh3d |
| Unstructured mesh in 3D. More... | |
| class | UnstructuredMesh3d< TCoord, TIndexField, TIndex, TScalarField, TScalar, TVectorField, TVector, TTensorField, TTensor > |
| Generic 3D unstructured mesh with collections of named scalar, vector, tensor and index fields. More... | |
| class | UnstructuredMeshGeometry1d< TCoord > |
| Geometry and topology of an unstructured 1D mesh. Presents both connected meshes and unconnected sets of points. More... | |
| class | UnstructuredMeshGeometry2d< TCoord > |
| Geometry and topology of an unstructured 2D mesh. Presents both connected meshes and unconnected sets of points. More... | |
| class | UnstructuredMeshGeometry3d< TCoord > |
| Geometry and topology of an unstructured 2D mesh. Presents both connected meshes and unconnected sets of points. More... | |
| class | UtilMath |
| struct | vec2 |
| 2D vector, struct implementation. More... | |
| struct | vec3 |
| 3D vector, struct implementation. More... | |
| class | Vector |
| Real vector class. More... | |
| class | Vector2d |
| Vector or point in a 2 dimensional space. More... | |
| class | Vector3d |
| Vector or point in a 3 dimensional space. More... | |
| class | VectorApproximatorBase |
| Base class for vector function approximators. More... | |
| class | VectorBase |
| Base class for real vectors. More... | |
| class | VectorExtensions |
| Extension methods for vector classes. 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 and in order to derive from. More... | |
| class | VectorFunctionExamples |
| Various vector function examples. More... | |
| class | VectorFunctionFromScalar |
| class | VectorFunctionRequestDTO |
| DTO (Data Transfer Objects) for storing contents of vector function evaluation request. 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 and 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 | VectorFunctionResultsDto |
| DTO (Data Transfer Objects) for storing contents of vector function results. More... | |
| class | VectorFunctionScriptController |
| Class for building vector functions from scripts, used by GUI elements. More... | |
| class | VectorFunctionScriptControllerBase< VectorFunctionType, ScalarFunctionControllerType, ScalarFunctionType > |
| Base class for building vector functions from scripts. This is currently an interrmediate class between the DTO and a vector function, and will probably be gradually replaced. More... | |
| class | VectorFunctionScriptDto |
| DTO (data transfer object) for vector interface (IVector). More... | |
| class | VectorFunctionScriptDtoBase< FunctionControllerType, ScalarFunctionControllerType, ScalarFunctionDtoType > |
| Base class for various DTO (Data Transfer Objects) for scalar function controllers. Used to store a state of a scalar function. More... | |
| class | VectorStore |
| Vector store. More... | |
| class | VectorStore< T > |
| Vector store. More... | |
Enumerations | |
| enum | SI { SI.m, SI.kg, SI.s, SI.A, SI.K, SI.cd, SI.mol } |
| SI base units (International system of units). More... | |
| enum | Operation { Operation.None = 0, Operation.Addition, Operation.Subtraction, Operation.Multiplication, Operation.Division, Operation.Composition, Operation.UnaryPlus, Operation.UnaryMinus } |
| enum | ParallelJobState { ParallelJobState.Uninitialized = 0, ParallelJobState.Initialized, ParallelJobState.Unemployed, ParallelJobState.DataReady, ParallelJobState.EnQueued, ParallelJobState.Executing, ParallelJobState.ResultsReady, ParallelJobState.Aborted, ParallelJobState.ResultsProcessed } |
| Job states. More... | |
| enum | ParallelServerState { ParallelServerState.Uninitialized = 0, ParallelServerState.Idle, ParallelServerState.Executing, ParallelServerState.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. More... | |
| delegate double | DlgFunctionValue (double x) |
| Represents real function of real variable. More... | |
| delegate double | DlgFunctionHigherDerivative (double x, int order) |
| Represents derivative of real function of real variable of arbitrary order. More... | |
| delegate double | DlgFunctionParametric (double x, Vector p) |
| Reprents parametric family of real functions of real variable. More... | |
| delegate double | DlgFunctionParametricHigherDerivative (double x, Vector p, int order) |
| Arbitrary order derivative of parametric family of real functions with respect to function argument. More... | |
| 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.). More... | |
| 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. More... | |
| 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. More... | |
| enum IG.Num.SI |
SI base units (International system of units).
| enum IG.Num.Operation |
| delegate RealFunction IG.Num.DlgFunctionTransformation | ( | RealFunction | f | ) |
Operators on univariate real functions, transforms a function to obtain another one.
| f | Function that is transformed. |
$A Igor xx;
| delegate double IG.Num.DlgFunctionValue | ( | double | x | ) |
Represents real function of real variable.
$A Igor xx;
Referenced by IG.Num.Numeric.TestDifferentiation(), IG.Num.Numeric.TestIntegration(), and IG.Num.RealFunction.TestSpeed().
| 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.).
| 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.
| InputType | Type of the function input argument. |
| ResultType | Type of function result (returned by the function). |
| input | Input argument of 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.
| InputType | Type of parallel jobs input data. |
| ResultType | Type of parallel jobs results data. |
| jobContainer | Job container that executed the callback. |
1.8.8 
