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Что (кто) такое parametric optimization - определение
INSURANCE THAT AGREES TO MAKE A PAYMENT UPON THE OCCURRENCE OF A TRIGGERING EVENT
Parametric contract; Parametric Insurance
Найдено результатов: 253
Parametric oscillator
HARMONIC OSCILLATOR WHOSE PARAMETERS OSCILLATE IN TIME
Parametric resonance; Parametric amplifier; Parametric oscillation; Parametric generator
A parametric oscillator is a driven harmonic oscillator in which the oscillations are driven by varying some parameter of the system at some frequency, typically different from the natural frequency of the oscillator. A simple example of a parametric oscillator is a child pumping a playground swing by periodically standing and squatting to increase the size of the swing's oscillations.
Optical parametric oscillator
![KTP]] crystals in an OPO](https://commons.wikimedia.org/wiki/Special:FilePath/OPO Crystals.jpg?width=200 "KTP]] crystals in an OPO")
PARAMETRIC OSCILLATOR THAT OSCILLATES AT OPTICAL FREQUENCIES
Optical Parametric Oscillator; Optical parametric oscillation
An optical parametric oscillator (OPO) is a parametric oscillator that oscillates at optical frequencies. It converts an input laser wave (called "pump") with frequency \omega_p into two output waves of lower frequency (\omega_s, \omega_i) by means of second-order nonlinear optical interaction.
Price optimization
USE OF PRICING METHODS TO MAXIMIZE THE PURCHASING BEHAVIOR OF CONSUMERS
Price optimization software
Price optimization is the use of mathematical analysis by a company to determine how customers will respond to different prices for its products and services through different channels. It is also used to determine the prices that the company determines will best meet its objectives such as maximizing operating profit.
Parametric polymorphism
BASIS OF GENERIC PROGRAMMING
Parametric Polymorphism; Rank-n polymorphism; Impredicative polymorphism; Predicative polymorphism; Rank n polymorphism; First class polymorphism; First-class polymorphism; Higher-ranked polymorphism; Higher-ranked type; Higher ranked type; Higher rank type; Higher-rank type; Rank2Types; RankNTypes; Rank (type theory); Type arguments; Bounded parametric polymorphism
In programming languages and type theory, parametric polymorphism allows a single piece of code to be given a "generic" type, using variables in place of actual types, and then instantiated with particular types as needed. Parametrically polymorphic functions and data types are sometimes called generic functions and generic datatypes, respectively, and they form the basis of generic programming.
Mathematical optimization
STUDY OF MATHEMATICAL ALGORITHMS FOR OPTIMIZATION PROBLEMS
Mathematical programming; Optimisation; Optimization theory; Cost functional; Optimal; Optimum; Searching the search space; Optimisation (mathematics); Optimization glossary; Numerical optimization; Mathematical optimisation; Optimizer; Optimation; Ordinal optimization; Energy function; Optimizing; Function optimization; Optimization algorithm; Optimal allocation; Optimization; Optimization (mathematics); Numerical optimisation; Optimally; Make the most out of; Make the most of; Numerical optimization problem; Computational optimization techniques; Mathematical optimization algorithms; Applications of mathematical optimization; Applications of optimization; Algorithms for optimization; Algorithms for solving optimization problems; Automated optimization; Interior solution (optimization); History of mathematical optimization; Algorithm's optimality; Optimization problems in economics; Optimization problems in electrical engineering; Optimization of electrical circuits; Optimization of electronic circuits; Optimization heuristic; Optimization (mathematical); Optimization in electrical engineering
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives."The Nature of Mathematical Programming ," Mathematical Programming Glossary, INFORMS Computing Society.
Multi-objective optimization
![Example of a [[Pareto frontier]] (in red), the set of Pareto optimal solutions (those that are not dominated by any other feasible solutions). The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point ''C'' is not on the Pareto frontier because it is dominated by both point ''A'' and point ''B''. Points ''A'' and ''B'' are not strictly dominated by any other, and hence do lie on the frontier.](https://commons.wikimedia.org/wiki/Special:FilePath/Front pareto.svg?width=200 "Example of a [[Pareto frontier]] (in red), the set of Pareto optimal solutions (those that are not dominated by any other feasible solutions). The boxed points represent feasible choices, and smaller values are preferred to larger ones. Point ''C'' is not on the Pareto frontier because it is dominated by both point ''A'' and point ''B''. Points ''A'' and ''B'' are not strictly dominated by any other, and hence do lie on the frontier.")
AREA OF MULTIPLE CRITERIA DECISION MAKING, THAT IS CONCERNED WITH MATHEMATICAL OPTIMIZATION PROBLEMS INVOLVING MORE THAN ONE OBJECTIVE FUNCTION TO BE OPTIMIZED SIMULTANEOUSLY
Multiobjective problem; Multiobjective programming; Multiple objective optimization; Multiobjective optimisation; Multiobjective optimization; NSGA-II; Non-dominated Sorting Genetic Algorithm-II; Solutions of multi-objective optimization problems; Multivariate optimization; Multicriteria optimization; Bicriteria optimization; Pareto optimization
Multi-objective optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, multiattribute optimization or Pareto optimization) is an area of multiple criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. Multi-objective optimization has been applied in many fields of science, including engineering, economics and logistics where optimal decisions need to be taken in the presence of trade-offs between two or more conflicting objectives.
Ordinal optimization
STUDY OF MATHEMATICAL ALGORITHMS FOR OPTIMIZATION PROBLEMS
Mathematical programming; Optimisation; Optimization theory; Cost functional; Optimal; Optimum; Searching the search space; Optimisation (mathematics); Optimization glossary; Numerical optimization; Mathematical optimisation; Optimizer; Optimation; Ordinal optimization; Energy function; Optimizing; Function optimization; Optimization algorithm; Optimal allocation; Optimization; Optimization (mathematics); Numerical optimisation; Optimally; Make the most out of; Make the most of; Numerical optimization problem; Computational optimization techniques; Mathematical optimization algorithms; Applications of mathematical optimization; Applications of optimization; Algorithms for optimization; Algorithms for solving optimization problems; Automated optimization; Interior solution (optimization); History of mathematical optimization; Algorithm's optimality; Optimization problems in economics; Optimization problems in electrical engineering; Optimization of electrical circuits; Optimization of electronic circuits; Optimization heuristic; Optimization (mathematical); Optimization in electrical engineering
In mathematical optimization, ordinal optimization is the maximization of functions taking values in a partially ordered set ("poset").Dietrich, B.
make the most of
STUDY OF MATHEMATICAL ALGORITHMS FOR OPTIMIZATION PROBLEMS
Mathematical programming; Optimisation; Optimization theory; Cost functional; Optimal; Optimum; Searching the search space; Optimisation (mathematics); Optimization glossary; Numerical optimization; Mathematical optimisation; Optimizer; Optimation; Ordinal optimization; Energy function; Optimizing; Function optimization; Optimization algorithm; Optimal allocation; Optimization; Optimization (mathematics); Numerical optimisation; Optimally; Make the most out of; Make the most of; Numerical optimization problem; Computational optimization techniques; Mathematical optimization algorithms; Applications of mathematical optimization; Applications of optimization; Algorithms for optimization; Algorithms for solving optimization problems; Automated optimization; Interior solution (optimization); History of mathematical optimization; Algorithm's optimality; Optimization problems in economics; Optimization problems in electrical engineering; Optimization of electrical circuits; Optimization of electronic circuits; Optimization heuristic; Optimization (mathematical); Optimization in electrical engineering
use or represent to the best advantage.
optimal
STUDY OF MATHEMATICAL ALGORITHMS FOR OPTIMIZATION PROBLEMS
Mathematical programming; Optimisation; Optimization theory; Cost functional; Optimal; Optimum; Searching the search space; Optimisation (mathematics); Optimization glossary; Numerical optimization; Mathematical optimisation; Optimizer; Optimation; Ordinal optimization; Energy function; Optimizing; Function optimization; Optimization algorithm; Optimal allocation; Optimization; Optimization (mathematics); Numerical optimisation; Optimally; Make the most out of; Make the most of; Numerical optimization problem; Computational optimization techniques; Mathematical optimization algorithms; Applications of mathematical optimization; Applications of optimization; Algorithms for optimization; Algorithms for solving optimization problems; Automated optimization; Interior solution (optimization); History of mathematical optimization; Algorithm's optimality; Optimization problems in economics; Optimization problems in electrical engineering; Optimization of electrical circuits; Optimization of electronic circuits; Optimization heuristic; Optimization (mathematical); Optimization in electrical engineering
see optimum
parametric polymorphism
BASIS OF GENERIC PROGRAMMING
Parametric Polymorphism; Rank-n polymorphism; Impredicative polymorphism; Predicative polymorphism; Rank n polymorphism; First class polymorphism; First-class polymorphism; Higher-ranked polymorphism; Higher-ranked type; Higher ranked type; Higher rank type; Higher-rank type; Rank2Types; RankNTypes; Rank (type theory); Type arguments; Bounded parametric polymorphism
Википедия
Parametric insurance
Parametric insurance (also called index-based insurance) is a non-traditional insurance product that offers pre-specified payouts based upon a trigger event. Trigger events depend on the nature of the parametric policy and can include environmental triggers such as wind speed and rainfall measurements, business-related triggers such as foot traffic, and more. Examples of current parametric products include the Caribbean Catastrophe Risk Insurance Facility (CCRIF), the African Risk Capacity (ARC), and the protection of coral reefs in the state of Quintana Roo in Mexico.
Parametric insurance policies have most frequently been implemented in developing economies, oftentimes for agriculture insurance. In the US, there are proposals to implement parametric policies more often, specifically in the case of flood insurance through the National Flood Insurance Program.
