Examples of using Mathematical optimization in English and their translations into Indonesian
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Mathematical optimization, heuristic algorithms and simulation techniques.
A complementarity problem is a type of mathematical optimization problem.
In mathematical optimization, Dantzig's simplex algorithm(or simplex method) is a popular….
The process involves employing different techniquesfrom other mathematic sciences like mathematical models, mathematical optimization and statistical analysis.
A strong foundation in mathematical optimization, statistics, and econometrics.
In their 1999 paper, Tishby and co-authors Fernando Pereira, now at Google, and William Bialek, now at Princeton University,formulated this as a mathematical optimization problem.
The study of mathematical optimization brings methods, theory and tender domains to the field of machine learning.
As the need for decisions changes(more flexible, real-time, under uncertain and ever changing environments),a decision making process rooted in mathematical optimization is unavoidable.
The study of mathematical optimization presents several methods, theory and application areas to the field of machine learning.
To solve practical problems such as engineering optimization, the greatest challenge is often to convert the word problem into a mathematical optimization problem- by setting up the function that is to be maximized or minimized.
In mathematical optimization, Dantzig's simplex algorithm is a popular algorithm for linear programming.
In mathematics, statistics, empirical sciences, computer science, or management science, mathematical optimization(alternatively, mathematical programming) is the selection of a best element(with regard to some criteria) from some set of available alternatives.
In mathematical optimization, Dantzig's simplex algorithm(or simplex method) is a popular algorithm for linear….
You have a STEM(Science, Technology, Engineering and Mathematics) background, at least one year of full-time work experience and want to deepen your knowledge in machine learning, artificial intelligence,operations research techniques(mathematical optimization, heuristic algorithms and simulation), and data-driven decision making.
It has strong ties to mathematical optimization, which deliver methods, theory and application domains to the field.
This exciting new master course is designed at the intersection of the fields of Data Analytics and Decision Science(Operations Research) and graduates will learn how to combine machine learning anddeep learning techniques with mathematical optimization approaches, heuristic algorithms and simulation techniques to create value in specific application areas.
This study presents a mathematical optimization model for planning topology and capacity of a district cooling network.
It consists of strong ties to mathematical optimization, which delivers methods, theory, and application domains to the relevant fields.
The analysis may involve mathematical optimization techniques, probabilistic and statistical methods, experiments, and computer simulations.
Only prescriptive analytics(mathematical optimization and operations research) can capture the full range of options the decision maker faces.
The analysis may involve mathematical optimization techniques, probabilistic and statistical methods, experiments, and computer simulations.
In mathematics, computer science and operations research, mathematical optimization or mathematical programming, alternatively spelled optimisation, is the selection of a best element(with regard to some criterion) from some set of available alternatives.
In mathematics, computer science and operations research, mathematical optimization(alternatively, optimization or mathematical programming) is the selection of a best element(with regard to some criteria) from some set of available alternatives.
In mathematics, computer science, or management science, mathematical optimization(alternatively, optimization or mathematical programming) refers to the selection of a best element(with regard to some criteria) from some set of available alternatives.