Weather forecasting is an example for continuous simulation. Hence, the correct answer is option “ A ”.

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Answer 1

Expert Solution & Answer

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

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Using the notation

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For each of the following, decide whether the claim is True or False and select the True ones: Suppose we discover that the 3SAT can be solved in worst-case cubic time. Then it would mean that all problems in NP can also be solved in cubic time. If a problem can be solved using Dynamic Programming, then it is not NP-complete. Suppose X and Y are two NP-complete problems. Then, there must be a polynomial-time reduction from X to Y and also one from Y to X.

Answer 2

Expert Solution & Answer

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

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Answer 3

Expert Solution & Answer

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

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Answer 4

Expert Solution & Answer

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

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Answer 5

Expert Solution & Answer

Answer 6

Expert Solution & Answer

Answer 7

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

Answer 8

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.

Answer 9

Chapter 14, Problem 1E

Program Description Answer

Weather forecasting is an example for continuous simulation.

Hence, the correct answer is option “A”.

Answer 10

Expert Solution & Answer

Explanation of Solution

Simulation:

Simulation refers to the method of developing a mathematical or logical model for a complex system and examining with the model to find out the result.
There are two different types of simulation as follows:
- Discrete event simulation:
  - It refers to a model in which the changes occur at a discrete point of time and mark those changes of the system at finite interval of time.
  - It is an activity-based simulation and the time is split into small time parts, and then the changes are marked in each part.
  - Discrete event models are represented by using entities, attributes, and events.
    - Entities are used to represent the objects in the system.
    - Attributes are used to represent the features of the system in the object.
    - Events are used to represent the interaction between the objects in the system.
- Continuous simulation:
  - It refers to a model in which the changes of the system will be continuous and the response over time is defined using a set of differential equations.
  - The characteristics or features of the system will be represented mathematically.

Weather forecasting:

Weather forecasting is an example for continuous simulation.
Weather forecasting is the simulation used to find the state of the atmosphere.
Temperature, wind, precipitation, and cloud are the main characteristics of weather.
The interface of the components is modeled using a set of differential equations, which measure the rate of changes in weather.
Since, there is a continuous change in the weather and changes are updated periodically, weather forecasting belongs to continuous simulation.