Search results for keyword: carlo
Mathematical simulation of beneficiation process
Mathematical Simulation of Ore Selection Process
The ore selection process is an important industrial process in which metal ores are selected through screening and grading. The process is also known as mineral dressing or ore dressing and involves the classification of obtained ores according to......
1024 
Lila
Sample representativeness
Mineral Sample Representativeness
The importance of mineral sample representativeness is often overlooked in exploration geology and mining. Presented in this paper is an in-depth review of the importance of mineral sample representativeness, its range of applications and the various methods for ......
shallow replacement
Superficial exchange is the most efficient method for the therapy of with particular skin conditions. This therapy is most commonly used for those who suffer from acne and other severe skin disorders. It is also a method for treating age spots, pigmentation, wrinkles, and scarring.
The basic conc......
Level detection
Object Detection and Localization in Autonomous Mobile Robotics
Autonomous mobile robotics is one of the most exciting developments of technology in the modern era. Autonomous mobile robots are capable of autonomously navigating and performing tasks in complex and unstructured environments with m......
Initial Fault Diagnosis Method of CNC Machine Tool PLC
Introduction
The past few decades have brought about a revolution in the field of machine tool engineering, producing machines that are smaller, faster, and more precise than ever before. One major aspect of this revolution is the development of programmable logic controllers (PLCs) to control th......
Spheroidizing annealing
Simulated Annealing
Simulated annealing is a randomized search technique used for optimization problems in computer science, operations research, and other fields. It is an extension of the Metropolis-Hastings algorithm, which is a Monte carlo method used to calculate partition functions in stati......
KPP method
KPP (Kinetic Pre-Processor) Method
The Kinetic Pre-Processor (KPP) method is a numerical approach to solving chemical and combustion models. The KPP method is a reaction-based algorithm that is used to quickly solve large, complex gas-phase and condensed-phase chemical reaction systems. It is par......
business economics
Introduction
Enterprise economics, otherwise known as Managerial Economics, is a branch of economics which applies microeconomic analysis to managerial decisions and the decision-making processes of firms and business organizations. It combines economic theory, financial accounting, and business ......
uncertain decision making
Uncertainty Modeling Decision Making
The ability to effectively make decisions is critical for any business or organization, but uncertainty can cause significant difficulty in decision making. Uncertainty is an expected difficulty in the decision making process, and it is one of the key factors ......
Monte carlo model
Monte carlo Model
The Monte carlo model is an analytical tool used in finance and operations research. It is a highly accurate model of uncertain events which allows the calculation of estimates from quantified random variables. The model has been used to analyze a wide range of problems, from co......
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