optimization approach - definição. O que é optimization approach. Significado, conceito
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O que (quem) é optimization approach - definição

SET OF OPERATIONAL RISK MEASUREMENT TECHNIQUES FOR BANKING INSTITUTIONS
Basic Approach; Basic approach; Basic Indicator Approach

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.
Mathematical optimization         
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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.
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.

Wikipédia

Basic indicator approach

The basic approach or basic indicator approach is a set of operational risk measurement techniques proposed under Basel II capital adequacy rules for banking institutions.

Basel II requires all banking institutions to set aside capital for operational risk. The basic indicator approach, however, is much simpler as compared to the alternative approaches (i.e. standardized approach (operational risk) and advanced measurement approach) and thus has been recommended for banks without significant international operations.

Based on the original Basel Accord, banks using the basic indicator approach must hold capital for operational risk equal to the average over the previous three years of a fixed percentage of positive annual gross income. Figures for any year in which annual gross income is negative or zero should be excluded from both the numerator and denominator when calculating the average. A standard deviation is commonly also taken.

The fixed percentage 'alpha' is typically 15 percent of annual gross income.