Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

£24.495
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Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

Hands-On Simulation Modeling with Python: Develop simulation models to get accurate results and enhance decision-making processes

RRP: £48.99
Price: £24.495
£24.495 FREE Shipping

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They could not repeat the tactical maneuvers performed because of the imperative need for continuing the operation. Now that we've made the choice of the software platform we're going to use and have elaborated on the numerical model, we need to verify the software solution. I appreciate this course for the big picture and practical frame it puts over a very complex and what for me was a bewildering area.

We present examples drawn from a computational fluid dynamics class and a biological fluid mechanics class. If, from the analysis of the data, it is seen that this form of distribution approximates a standard type distribution, the standard theoretical distribution can be used by carrying out a statistical test to verify whether the data can be well represented by that probability distribution. These systems are, in fact, characterized by high complexity, numerous interrelationships between the different processes that pass through them, segment failures, unavailability, and the stochasticity of the system parameters. Initial knowledge of the teamwork KSA and the spread of this knowledge within the team, are not a determinant influence on the learning-by-doing of the individual. This traditional method has well-known limitations, such as the need for a broad framework for hosting, maintaining, and preparing these animals and their subsequent disposal, which, in addition to high costs, also requires involvement of many professionals for the correct execution of these tasks.They highlighted realistic tissue feel and anatomical representation as positive aspects, as well as the possibility of performing a specific technique multiple times, thereby improving skill acquisition. A final distinction is based on how the system evolves over time: this is why we distinguish between continuous and discrete simulation models. These simulators allow us to elaborate on a simulation environment using graphic menus without the need to program.

For example, it is necessary to determine the transient length of the system before reaching stationary conditions if you want performance measures of the system at full capacity. It aims to verify whether the model that's being analyzed corresponds conceptually to our intentions. If an operational version of the system is already available, the work is simplified as it is enough to observe this system to deduce its fundamental characteristics.The lab exercises are carefully designed to reinforce the theory and put it in a ready-to-use practical form without spending too much time on the specifics of the chosen tool. The congresses of some specialties are modified each year to discuss the incorporation of new technologies by presenting the results of numerous well-designed studies conducted to validate, disseminate, and extend their use in daily practice. These results could immediately highlight a better system configuration than the others, but more often, more than one candidate configuration will be identified. These models do not consider random elements and lend themselves to be solved with exact methods that are derived from mathematical analysis. He has several publications to his credit: monographs, scientific journals, and thematic conferences.



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