Branches of Mathematics
Optimization
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Optimization is the branch of mathematics concerned with selecting the best element, according to some measurable criterion, from a set of available alternatives, and with the methods for finding it efficiently.
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Central QuestionGiven a criterion to maximize or minimize and a set of allowed choices, does a best choice exist, and can it be found or verified without checking every alternative in turn. 1 Key DebateHow much structure a problem needs before its best solution can be certified rather than merely searched for. The Simplex algorithm, published in 1947, gave a practical method for linear problems, and John von Neumann's work on the theory of duality around the same time showed that a linear program and a related dual program can certify each other's optimal value, a guarantee that most harder, nonlinear optimization problems still lack. 1 Cross-Tradition Connections
Sources
1. Wikipedia: Mathematical Optimization
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the selection of a best element, with regard to some criteria, from some set of available alternatives
View the Source 1. Wikipedia: Mathematical Optimization
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If a candidate solution satisfies the first-order conditions, then the satisfaction of the second-order conditions as well is sufficient to establish at least local optimality.
View the Source 1. Wikipedia: Mathematical Optimization
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Dantzig published the Simplex algorithm in 1947, and also John von Neumann and other researchers worked on the theoretical aspects of linear programming (like the theory of duality) around the same time.
View the Source Stone-Weierstrass Theorem (Wikipedia)
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Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives.
View the Source Stone-Weierstrass Theorem (Wikipedia)
WikipediaHistory sectionQuote, History section
Dantzig published the Simplex algorithm in 1947, and also John von Neumann and other researchers worked on the theoretical aspects of linear programming (like the theory of duality) around the same time.
View the Source Wikipedia: Minimax Theorem
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In the mathematical area of game theory and of convex optimization
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