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Mathematical optimization and Maximum theorem

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Mathematical optimization and Maximum theorem

Mathematical optimization vs. Maximum theorem

In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element (with regard to some criterion) from some set of available alternatives. The maximum theorem provides conditions for the continuity of an optimized function and the set of its maximizers as a parameter changes.

Similarities between Mathematical optimization and Maximum theorem

Mathematical optimization and Maximum theorem have 8 things in common (in Unionpedia): Claude Berge, Concave function, Convex set, Envelope theorem, Extreme value theorem, Quasiconvex function, Utility, Utility maximization problem.

Claude Berge

Claude Jacques Berge (5 June 1926 – 30 June 2002) was a French mathematician, recognized as one of the modern founders of combinatorics and graph theory.

Claude Berge and Mathematical optimization · Claude Berge and Maximum theorem · See more »

Concave function

In mathematics, a concave function is the negative of a convex function.

Concave function and Mathematical optimization · Concave function and Maximum theorem · See more »

Convex set

In convex geometry, a convex set is a subset of an affine space that is closed under convex combinations.

Convex set and Mathematical optimization · Convex set and Maximum theorem · See more »

Envelope theorem

The envelope theorem is a result about the differentiability properties of the objective function of a parameterized optimization problem.

Envelope theorem and Mathematical optimization · Envelope theorem and Maximum theorem · See more »

Extreme value theorem

In calculus, the extreme value theorem states that if a real-valued function f is continuous on the closed interval, then f must attain a maximum and a minimum, each at least once.

Extreme value theorem and Mathematical optimization · Extreme value theorem and Maximum theorem · See more »

Quasiconvex function

In mathematics, a quasiconvex function is a real-valued function defined on an interval or on a convex subset of a real vector space such that the inverse image of any set of the form (-\infty,a) is a convex set.

Mathematical optimization and Quasiconvex function · Maximum theorem and Quasiconvex function · See more »

Utility

Within economics the concept of utility is used to model worth or value, but its usage has evolved significantly over time.

Mathematical optimization and Utility · Maximum theorem and Utility · See more »

Utility maximization problem

In microeconomics, the utility maximization problem is the problem consumers face: "how should I spend my money in order to maximize my utility?" It is a type of optimal decision problem.

Mathematical optimization and Utility maximization problem · Maximum theorem and Utility maximization problem · See more »

The list above answers the following questions

Mathematical optimization and Maximum theorem Comparison

Mathematical optimization has 234 relations, while Maximum theorem has 19. As they have in common 8, the Jaccard index is 3.16% = 8 / (234 + 19).

References

This article shows the relationship between Mathematical optimization and Maximum theorem. To access each article from which the information was extracted, please visit:

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