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Open CASCADE Technology Reference Manual 8.0.0
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Non-virtual functor classes for N-dimensional (vector) functions. More...
Data Structures | |
| class | MathUtils::VectorLambda< Lambda > |
| Lambda wrapper for N-D objective functions (value only). Wraps a lambda/callable into a functor with Value() method. More... | |
| class | MathUtils::VectorLambdaWithGradient< ValueLambda, GradLambda > |
| Lambda wrapper for N-D objective functions with gradient. Wraps a lambda/callable into a functor with Value() and Gradient() methods. More... | |
| class | MathUtils::QuadraticForm |
| Quadratic form functor: f(x) = x^T A x + b^T x + c. Commonly used for testing optimization algorithms. More... | |
| class | MathUtils::Rosenbrock |
| Rosenbrock function functor (for testing optimization). f(x,y) = (a - x)^2 + b*(y - x^2)^2 Default: a = 1, b = 100 Global minimum at (a, a^2) = (1, 1) with f = 0. More... | |
| class | MathUtils::Sphere |
| Sphere function functor (for testing optimization). f(x) = sum(x[i]^2) for all i. Global minimum at origin with f = 0. More... | |
| class | MathUtils::Booth |
| Booth function functor (for testing optimization). f(x,y) = (x + 2y - 7)^2 + (2x + y - 5)^2 Global minimum at (1, 3) with f = 0. More... | |
| class | MathUtils::Beale |
| Beale function functor (for testing optimization). f(x,y) = (1.5 - x + xy)^2 + (2.25 - x + xy^2)^2 + (2.625 - x + xy^3)^2 Global minimum at (3, 0.5) with f = 0. More... | |
| class | MathUtils::Himmelblau |
| Himmelblau function functor (for testing optimization). f(x,y) = (x^2 + y - 11)^2 + (x + y^2 - 7)^2 Has four local minima, all with f = 0: (3.0, 2.0), (-2.805118, 3.131312), (-3.779310, -3.283186), (3.584428, -1.848126) More... | |
| class | MathUtils::Rastrigin |
| Rastrigin function functor (for testing global optimization). f(x) = A*n + sum(x[i]^2 - A*cos(2*pi*x[i])) for all i Default: A = 10 Global minimum at origin with f = 0. Highly multimodal - challenging for local optimizers. More... | |
| class | MathUtils::Ackley |
| Ackley function functor (for testing global optimization). f(x) = -a*exp(-b*sqrt(sum(x[i]^2)/n)) - exp(sum(cos(c*x[i]))/n) + a + e Default: a = 20, b = 0.2, c = 2*pi Global minimum at origin with f = 0. More... | |
| class | MathUtils::LinearResidual |
| Linear system residual functor: f(x) = ||Ax - b||^2. Useful for solving overdetermined linear systems via optimization. More... | |
| class | MathUtils::SystemLambda< Lambda > |
| Nonlinear system functor: F(x) = [f1(x), f2(x), ..., fn(x)]. Lambda wrapper for systems of nonlinear equations. More... | |
Namespaces | |
| namespace | MathUtils |
| Modern math solver types and result structures. | |
Functions | |
| template<typename Lambda > | |
| VectorLambda< Lambda > | MathUtils::MakeVector (Lambda theLambda) |
| Helper function to create VectorLambda with type deduction. | |
| template<typename ValueLambda , typename GradLambda > | |
| VectorLambdaWithGradient< ValueLambda, GradLambda > | MathUtils::MakeVectorWithGradient (ValueLambda theValueLambda, GradLambda theGradLambda) |
| Helper function to create VectorLambdaWithGradient with type deduction. | |
| template<typename Lambda > | |
| SystemLambda< Lambda > | MathUtils::MakeSystem (Lambda theLambda, int theNbEquations) |
| Helper function to create SystemLambda with type deduction. | |
Non-virtual functor classes for N-dimensional (vector) functions.
Provides ready-to-use functor classes that work with the template-based math API (MathOpt::Powell, MathOpt::BFGS, MathSys::Newton) without virtual dispatch overhead.