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Symbolic integration

Known as: Integration 
In calculus, symbolic integration is the problem of finding a formula for the antiderivative, or indefinite integral, of a given function f(x), i.e… Expand
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Papers overview

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2020
2020
Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calculations… Expand
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Highly Cited
2015
Highly Cited
2015
We provide algorithms for symbolic integration of hyperlogarithms multiplied by rational functions, which also include multiple… Expand
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Highly Cited
2015
Highly Cited
2015
The goal of neural-symbolic computation is to integrate robust connectionist learning and sound symbolic reasoning. With the… Expand
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Highly Cited
2007
Highly Cited
2007
The human brain possesses the remarkable capability of understanding, interpreting, and producing language, structures, and logic… Expand
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2006
2006
Symbolic computational approaches are desirable for many applications and especially for large complex and nonlinear systems… Expand
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2000
2000
Abstract We present a symbolic technique for computing the exact or approximate solutions of linear differential systems with… Expand
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Highly Cited
1996
Highly Cited
1996
Crosspoint switching array, each crosspoint switching circuit including silicon controlled switches for connecting signal lines… Expand
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Highly Cited
1996
Highly Cited
1996
The LambertW function is defined to be the multivalued inverse of the functionw →wew. It has many applications in pure and… Expand
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1971
1971
Three approaches to symbolic integration in the 1960's are described. The first, from Artificial Intelligence, led to Slagle's… Expand
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Highly Cited
1966
Highly Cited
1966
SIN and SOLDIER are heuristic programs written in LISP which solve symbolic integration problems. SIN (Symbolic INtearator… Expand
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