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Several factors imply an increase in the use of nonlinear optimization models. We face serious problems of declining productivity and increasingly scarce, expensive raw materials. Computers are ...
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Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...
It is based on the application of geometric programming principles to solve systems of nonlinear equations. Although presented in a form that can be quickly understood by the practitioner, the ...
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