Function
Contains methods that perform operations on mathematical functions.
Definition
Namespace: Numerics.NET
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
C#
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.4
public static class FunctionMath- Inheritance
- Object → FunctionMath
Methods
| Backward | Returns an approximation to the derivative of a function by using only function values at x and and values smaller than x. |
| Backward | Returns an approximation to the derivative of a function by using only function values at x and and values smaller than x. |
| Backward | Returns an approximation to the derivative of a function by using only function values at x and and values smaller than x. |
| Backward | Returns an approximation to the derivative of the specified order of a function using backward finite differences. |
| Central | Returns an approximation to the derivative of a function. |
| Central | Returns an approximation to the derivative of a function. |
| Central | Returns an approximation to the derivative of a function. |
| Central | Returns an approximation to the derivative of the specified order of a function using central finite differences. |
| Combine | Constructs a multivariate function returning a vector from an array of multivariate function delegates. |
| Combine | Constructs a delegate that represents a multivariate function returning a matrix in its second argument from an array of multivariate functions returning a vector. |
| Combine | Constructs a multivariate function returning a vector in its second argument from an array of multivariate function delegates. |
| Combine | Constructs a delegate that represents a multivariate function returning a matrix in its second argument from an array of multivariate functions returning a vector. |
| Derivative( | Returns an approximation to the derivative of a function. |
| Derivative( | Returns an approximation to the derivative of a function. |
| Derivative( | Returns an approximation to the derivative of a function. |
| Derivative( | Returns an approximation to the derivative of a function. |
| Derivative( | Returns an approximation to the derivative of the specified order of a function. |
| Find | Computes a maximum of the specified function. |
| Find | Computes a maximum of the specified function. |
| Find | Computes a maximum of the specified function. |
| Find | Computes a maximum of the specified function. |
| Find | Computes a minimum of the specified function. |
| Find | Computes a minimum of the specified function. |
| Find | Computes a minimum of the specified function. |
| Find | Computes a minimum of the specified function. |
| Find | Solves a system of nonlinear equations starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Solves a system of nonlinear equations starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function when the solution is known to lie within a specified interval. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Find | Finds a zero of a function starting from an initial guess. |
| Forward | Returns an approximation to the derivative of a function by using only function values at x and and values greater than x. |
| Forward | Returns an approximation to the derivative of a function by using only function values at x and and values greater than x. |
| Forward | Returns an approximation to the derivative of a function by using only function values at x and and values greater than x. |
| Forward | Returns an approximation to the derivative of the specified order of a function using forward finite differences. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using backward differences. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using backward differences. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using central differences. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using forward differences. |
| Get | Returns an EquationSolver suitable for solving an equation using the specified information. |
| Get | Finds a zero of a function starting from an initial guess. |
| Get | Finds a zero of a function when the solution is known to lie within a specified interval. |
| Get | Finds a zero of a function starting from an initial guess. |
| Get | Finds a zero of a function starting from an initial guess. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using forward differences. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable using forward differences. |
| Get | Returns a function that numerically evaluates the definite integral of a function between the two function arguments. |
| Get | Returns a function that numerically evaluates the definite integral from the specified lower bound to the function argument. |
| Get | Returns an MultidimensionalOptimizer suitable for solving an equation using the specified information. |
| Get | Returns an OneDimensionalOptimizer suitable for solving an equation using the specified information. |
| Get | Finds a maximum of a function starting from an initial guess. |
| Get | Finds a maximum of a function starting from an initial guess. |
| Get | Returns an MultidimensionalOptimizer suitable for finding the minimum of a function using the specified information. |
| Get | Returns an OneDimensionalOptimizer suitable for solving an equation using the specified information. |
| Get | Finds a minimum of a function starting from an initial guess. |
| Get | Finds a minimum of a function starting from an initial guess. |
| Get | Creates a function of one variable that represents the numerical derivative of the specified function of one variable. |
| Get | Returns a delegate that numerically evaluates the gradient of a multivariate function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Get | Returns a delegate that numerically evaluates the Jacobian of a multivariate vector function. |
| Integrate( | Numerically integrates a function of one variable. |
| Integrate( | Numerically integrates a function of one variable. |
| Integrate( | Numerically integrates a function of two variables over a rectangular region. |
| Integrate( | Numerically integrates a function of two variables over a rectangular region. |
| Product | Computes the product of an expression evaluated over the specified range. |
| Sum( | Computes the sum of an expression evaluated over the specified range. |
| Sum<T>(IEnumerable<T>, Func<T, Double>) | Computes the sum of an expression evaluated for each member of a collection. |
| Sum | Computes the sum of an expression evaluated for each member of a collection that meets the specified condition. |
| Sum | Adds up the terms of a series. |
| Sum | Adds up the terms of a series. |