💡 Words with a Similar Meaning to "Nonlinear programming"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| non-negative least squares | In mathematical optimization, the problem of non-negative least squares is a type of constrained least squares problem where the coefficients are not allowed to become negative. |
| quadratic programming | the process of solving certain mathematical optimization problems involving quadratic functions. |
| nonlinear control | Nonlinear control theory is the area of control theory which deals with systems that are nonlinear, time-variant, or both. |
| constrained optimization | In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. |
| nonlinear system | In mathematics and science, a nonlinear system (or a non-linear system) is a system in which the change of the output is not proportional to the change of the input. |
| non-linear least squares | the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n). |
| linear-fractional programming | In mathematical optimization, linear-fractional programming is a generalization of linear programming. |
| sequential quadratic programming | an iterative method for constrained nonlinear optimization which may be considered a quasi-Newton method. |
| nonlinear regression | In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. |
| nonlinear algebra | the nonlinear analogue to linear algebra, generalizing notions of spaces and transformations coming from the linear setting. |
| linear programmingnoun | (mathematics) The branch of mathematics concerned with the minimization or maximization of a linear function of several variables and inequalities; used in many branches of industry to minimize costs or maximize production. |
| sum-of-squares optimization | A sum-of-squares optimization program is an optimization problem with a linear cost function and a particular type of constraint on the decision variables. |
| inverse scattering transform | Using a pair of differential operators, a 3-step algorithm may solve nonlinear differential equations; the initial solution is transformed to scattering data (direct scattering transform), the scattering data evolves forward in time (time evolution), and the scattering data reconstructs the solution forward in time (inverse scattering transform). |
| positive linear functionalnoun | (mathematical analysis) A kind of linear functional which yields a non-negative scalar when given a non-negative function as parameter. |
| semidefinite programming | a subfield of mathematical programming concerned with the optimization of a linear objective function (a user-specified function that the user wants to minimize or maximize) |
| constrained least squares | In constrained least squares one solves a linear least squares problem with an additional constraint on the solution. |
| optimization problemnoun | (mathematics) The problem of finding the "best" solution from all feasible solutions, given constraints defining which of the solutions are feasible, and a goal function defining which of the feasible solutions is the best one. |
| linear differential equation | In mathematics, a linear differential equation is a differential equation that is defined by a linear polynomial in the unknown function and its derivatives, that is an equation of the form |
| algebraic riccati equation | An algebraic Riccati equation is a type of nonlinear equation that arises in the context of infinite-horizon optimal control problems in continuous time or discrete time. |
| linear complementarity problem | In mathematical optimization theory, the linear complementarity problem arises frequently in computational mechanics and encompasses the well-known quadratic programming as a special case. |
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