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Heat exchanger network design of large-scale industrial site with layout inspired constraints

Related publications (35)

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On the Complexity of the Class of Regions Computable by a Two-Layered Perceptron

This work is concerned with the computational complexity of the recognition of

\mbox{LP}_2

, the class of regions of the Euclidian space that can be classified exactly by a two-layered perceptron. Several subclasses of

\mbox{LP}_2

of particular interest ...

IDIAP1996

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons

This work is concerned with the computational complexity of the recognition of

ÞPtwo

, the class of regions of the Euclidian space that can be classified exactly by a two-layered perceptron. Some subclasses of

ÞPtwo

of particular interest are also studi ...

IDIAP1998

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons

This work is concerned with the computational complexity of the recognition of

ÞPtwo

, the class of regions of the Euclidian space that can be classified exactly by a two-layered perceptron. Some subclasses of

ÞPtwo

of particular interest are also studi ...

1999

Heat exchanger network design of large-scale industrial site with layout inspired constraints

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Chat with Graph Search

On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels

Distance transformations: fast algorithms and applications to medical image processing

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons

On the Complexity of the Class of Regions Computable by a Two-Layered Perceptron

Distance transformations: fast algorithms and applications to medical image processing

On the coupling of 3D and 1D Navier-Stokes equations for flow problems in compliant vessels

On the Complexity of the Class of Regions Computable by a Two-Layered Perceptron

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons

On the Complexity of Recognizing Regions Computable by Two-Layered Perceptrons