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...st-stage solution. If the subproblem determines that the fixed first-stage decisions are in fact infeasible, then so-called ''Benders cuts'' are generated and a ...can be made without prior knowledge of optimality according to later stage decisions. This first-stage decision is the master problem. Further stages can then b ...

===Time-independent decisions=== ...fore that, etc. However, under certain circumstances the optimal portfolio decisions can be arrived at in a way that is separated in time, so that the shares of ...

...thought about its presence. However, for larger high-stakes decisions or decisions in highly public situations, decision makers may often benefit from a more ...ill miss the flight and what the net cost (in minutes) will be for various decisions. ...

...r control laws that outperform all linear laws. The problem of finding the optimal control law remains unsolved.<ref name=Ho>Ho, Yu-Chi, "Review of the Witsen ...on as do any other pair of control functions. Witsenhausen showed that the optimal functions <math> u_1(x_0)</math> and <math>u_2(y_1)</math> cannot be linear ...

...=A. B. |last2=Haurie |first3=A. |last3=Leizarowitz |title=Infinite Horizon Optimal Control |location=Berlin |publisher=Springer |year=1991 |pages=9–17 |chapte ...a policy-maker may have influences that extend to the far future. Economic decisions made today may influence the [[economic growth]] of a nation for an unknown ...

...which decisions are ranked on the basis of their worst-case outcomes – the optimal decision is one with the least bad outcome. It is one of the most important The optimal solution is the (red) [[saddle point]] <math>(x,y)=(0,0)</math>. ...

{{short description|Subarea of optimal tax theory}} '''Optimal labour income tax''' is a sub-area of [[optimal tax|optimal tax theory]] which refers to the study of designing [[income tax|a tax on i ...

...rst=Jan |year=1968 |journal=Journal of Business |volume=41 |issue=2 |title=Optimal multiperiod portfolio policies |pages=215–229 |jstor=2351447 |doi=10.1086/2 ...m variable]]s and by decisions. Decision-makers are assumed to make their decisions (such as, for example, [[Modern portfolio theory|portfolio allocations]]) s ...

[[Category:Optimal decisions]] ...

...ity|constant elasticity of utility]] with respect to, say, wealth, optimal decisions on such things as shares of [[Stock market|stocks]] in a [[Modern portfolio ...

...ime-consuming method and improves the performance partially. To obtain the optimal solution with minimum computation and time, the problem is solved iterative ...et of input variable values. In these cases, the goal is to iterative find optimal values for the input variables rather than trying all possible values. This ...

...apply the methods, or develop new methods, to support pricing and related decisions in a variety of other settings. Yield management has been applied successfu ...ptimization]]. The forecasting problem reflects the fact that the pricing decisions are intended to affect purchase events over some future time horizon. The ...

...name=fine/><ref>{{Cite web |last=Plass |first=Michael F. |date=1981 |title=Optimal Pagination Techniques for Automatic Typesetting Systems |url=https://www.tu ...eft over by this method is <math>0^2 + 4^2 + 1^2 = 17</math>. However, the optimal solution achieves the smaller sum <math>3^2 + 1^2 + 1^2 = 11</math>: ...

...ers to translate probabilistic information provided by forecasts into good decisions is therefore a measure of the utility of weather forecasting.<ref name=good The cost-loss model has also been applied in the context of decisions based on [[Air pollution forecasting|forecasts of air pollution]] levels<re ...

...book|last1=Cai|first1=X.Q.|last2=Wu|first2=X.Y.|last3=Zhou|first3=X.|title=Optimal Stochastic Scheduling|date=2014|publisher=Springer US|isbn=978-1-4899-7405- ...ob <math>i</math>. Admissible policies must be nonanticipative (scheduling decisions are based on the system's history up to and including the present time) and ...

...ne more constraint, the optimal solution is updated, and the corresponding optimal value is determined. As this procedure moves on, the user constructs an emp ...ment strategy <math>x^\ast</math> is achieved along with the corresponding optimal return <math>R^\ast</math>. While <math>R^\ast</math> has been obtained by ...

...d model to satisfy these constraints. The framework can be used to support decisions in an expressive output space while maintaining modularity and tractability Making decisions in many domains (such as natural language processing and computer vision pr ...

...a mathematical formulation of a design problem to support selection of the optimal design among many alternatives. Design optimization involves the following ...>{{Cite book|url=http://principlesofoptimaldesign.org/|title=Principles of Optimal Design: Modeling and Computation|last1=Papalambros|first1=Panos Y.|last2=Wi ...

{{short description|Method of computing optimal strategies for last-success problems}} ...optimal strategies for a class of problems that belong to the domain of [[optimal stopping]] problems. Their solution follows from the ''odds strategy'', an ...

M. J. Neely, E. Modiano, and C. Li, "Fairness and Optimal Stochastic Control for Heterogeneous Networks," Proc. IEEE INFOCOM, March 2 Backpressure routing is designed to make decisions that (roughly) minimize the sum of squares of queue backlogs in the network ...