Examples of 'decision problems' in a sentence

Meaning of "decision problems"

The term 'decision problems' refers to a category of computational problems in computer science and mathematics that involve determining the existence or properties of valid solutions or making optimal choices among various alternatives. These problems typically require evaluating large sets of possibilities or options to reach a decision based on certain criteria or constraints. Decision problems are often studied in fields such as algorithms, complexity theory, and optimization
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  • plural of decision problem

How to use "decision problems" in a sentence

Basic
Advanced
decision problems
Finite automata and their decision problems.
Decision problems become harder to answer or completely undecidable.
Treat later decisions as new decision problems.
Decision problems for language equations.
Expectation concepts and their application to decision problems.
Markov decision problems.
The most commonly used problems are decision problems.
Decision problems are one of the central objects of study in computational complexity theory.
Their application to actual decision problems.
Complete decision problems are used in computational complexity to characterize complexity classes of decision problems.
P is an important complexity class of counting problems not decision problems.
P and NP are sets of decision problems that have a certain complexity.
It is also possible to consider questions other than decision problems.
Decision rules in Markovian decision problems with Incompletely known transition probabilities.
The analysis of the complexity of some decision problems is made.

See also

ACDT on other decision problems Predictors exist.
An optimization problem is solved successively after several decision problems.
Decision problems that are at least as hard as NP-complete problems.
We also study the theoretical complexity of the associated decision problems.
P, it is the class of decision problems that are solvable in polynomial time.
The methods used offer good demonstration in treating uncertain variables in decision problems.
P - decision problems that can be solved deterministically in polynomial time.
This work is the use ofaims to use quantum computability to solve difficult decision problems.
Decision problems fall into sets of comparable complexity, called complexity classes.
Decision quality concepts permit the assurance of both effectiveness and efficiency in analyzing decision problems.
Individual decision problems with stochastic outcomes are sometimes considered " one-player games.
Decision tree and payoff matrices illustrate these situations and add structure to the decision problems.
The student is able to analyze basic real-world decision problems and formulate appropriate optimization models.
Variance with expected values Expectation concepts and their application to decision problems.
Decision problems are assigned complexity classes ( such as NP ) based on the fastest known algorithms.
ALL is the class of all decision problems.
This thesis studies two decision problems of intellectual property rights (IPR) management.
Professor Bonini has studied the applications of quantitative and statistical techniques to business decision problems.
NP-complete Class of decision problems which contains the hardest problems in NP.
Those problems in which decision alternatives are finite are called Discrete Multicriteria Decision problems.
Decision problems for groups -- survey and reflections.
Recall that NP-Complete problems are decision problems.
The class of decision problems for which a " yes " answer can be verified by.
Game theory comprises the study of multi-person decision problems.
There are decision problems that are NP-hard but not NP-complete, for example the halting problem.
Decisions, to be successful, must be based on mathematical models for decision problems.
The notion of P-complete decision problems is useful in the analysis of,.
You will be trained to define, diagnose and analyse supply chain decision problems.
NP-equivalent Decision problems that are both NP-hard and NP-easy, but not necessarily in NP.
Moreover, it allows the use and the management of the history of decision problems.
Chapter 7 focuses on decision problems.
Dissertation: Classes of recursively enumerable sets and their decision problems.
Abstract, In this thesis, we are interested in sequential decision problems under uncertainty.
In computability and complexity theory, ALL is the class of all decision problems.
Other decidability work = = = Her Ph.D. thesis was on " Definability and Decision Problems in Arithmetic.

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