Podcast
Questions and Answers
Maksimum minimum sorunlarının temel amacı nedir?
Maksimum minimum sorunlarının temel amacı nedir?
- Kısıtlanan değerin maksimumunu bulmak
- Minimum deÄŸerin maksimumunu bulmak (correct)
- Minimum deÄŸerin minimumunu bulmak
- Maksimum deÄŸerin minimumunu bulmak
Aşağıdakilerden hangisi maksimum minimum problemlerinin özellik değildir?
Aşağıdakilerden hangisi maksimum minimum problemlerinin özellik değildir?
- Constraint function g(x) minimum kabul edilebilir deÄŸeri temsil eder
- Objective function g(x) maximum deÄŸeri temsil eder (correct)
- Maximum değerin minimumunu bulmaya çalışılır
- Objective function f(x) minimum deÄŸeri temsil eder
Resource Allocation problémında maksimum minimum hangi sorunu çözmeye çalışır?
Resource Allocation problémında maksimum minimum hangi sorunu çözmeye çalışır?
- Sınırsız bütçe ile minimum ROI elde etmeye çalışır
- Sınırsız bütçe ile maximum ROI elde etmeye çalışır
- Kısıtlı bütçe ile maximum ROI elde etmeye çalışır (correct)
- Kısıtlı bütçe ile minimum ROI elde etmeye çalışır
Quality Control problémında maksimum minimum hangi sorunu çözmeye çalışır?
Quality Control problémında maksimum minimum hangi sorunu çözmeye çalışır?
Linear Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Linear Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Non-Linear Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Non-Linear Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Dynamic Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Dynamic Programming hangi türlü maksimum minimum problemlerini çözmeye yarar?
Maksimum minimum problemlerinde bulunulan çözüm yöntemlerinden biri nedir?
Maksimum minimum problemlerinde bulunulan çözüm yöntemlerinden biri nedir?
Aşağıdakilerden hangisi maksimum minimum problemlerinin bir özellik değildir?
Aşağıdakilerden hangisi maksimum minimum problemlerinin bir özellik değildir?
Maksimum minimum problemlerinin bir formülasyonda bulunan nedir?
Maksimum minimum problemlerinin bir formülasyonda bulunan nedir?
Flashcards
Purpose of Maximum-Minimum Problems
Purpose of Maximum-Minimum Problems
To find the maximum value of a minimum.
Feature of Max-Min Problems (Incorrect)
Feature of Max-Min Problems (Incorrect)
Objective function g(x) represents the maximum value isn't always true. A max-min problem aims to achieve the best minimum.
Resource Allocation and Max-Min
Resource Allocation and Max-Min
In resource allocation problems, max-min helps find the maximum return on investment (ROI) with a limited budget.
Quality Control and Max-Min
Quality Control and Max-Min
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Linear Programming and Problem Types
Linear Programming and Problem Types
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Non-Linear Programming and Problem Types
Non-Linear Programming and Problem Types
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Dynamic Programming and Problem Types
Dynamic Programming and Problem Types
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Solution Methods of Max-Min Problems
Solution Methods of Max-Min Problems
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Incorrect Feature of Max-Min Problems
Incorrect Feature of Max-Min Problems
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Max-Min Problem Formulation Elements
Max-Min Problem Formulation Elements
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Study Notes
Definition
Maximum minimum problems, also known as minimax problems, are a class of optimization problems that involve finding the minimum of a function subject to a constraint.
Formulation
A general formulation of a maximum minimum problem is:
Minimize: f(x) Subject to: g(x) ≥ 0 where f(x) is the objective function and g(x) is the constraint function.
Characteristics
- The objective function f(x) represents the minimum value to be achieved.
- The constraint function g(x) represents the minimum acceptable value.
- The goal is to find the maximum of the minimum values.
Examples
- Resource Allocation: A company has a limited budget to allocate among different projects. The goal is to maximize the minimum return on investment (ROI) across all projects.
- Quality Control: A manufacturer wants to minimize the maximum defect rate in a production process. The goal is to find the minimum defect rate that satisfies a certain quality standard.
Solution Methods
- Linear Programming: Can be used to solve maximum minimum problems with linear objective and constraint functions.
- Non-Linear Programming: Can be used to solve maximum minimum problems with non-linear objective and constraint functions.
- Dynamic Programming: Can be used to solve maximum minimum problems with recursive structure.
Applications
- Operations Research: Maximum minimum problems are used to model and solve complex optimization problems in logistics, supply chain management, and resource allocation.
- Economics: Maximum minimum problems are used to model and solve problems in game theory, mechanism design, and social choice theory.
- Engineering: Maximum minimum problems are used to model and solve problems in control systems, signal processing, and communication systems.
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Description
Maximum minimum problems, also known as minimax problems, are a class of optimization problems that involve finding the minimum of a function subject to a constraint. Learn about the formulation, characteristics, and solution methods of these problems. Explore their applications in operations research, economics, and engineering.