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complexifyin

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There are 12 letters in COMPLEXIFYIN ( C³E¹F⁴I¹L¹M³N¹O¹P³X⁸Y⁴ )

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6 letters out of COMPLEXIFYIN

5 letters out of COMPLEXIFYIN

4 letters out of COMPLEXIFYIN

3 letters out of COMPLEXIFYIN

CEL CEP COL CON COP COX COY ELF ELM EON FEM FEN FEY FIE FIL FIN FIX FLY FOE FON FOP FOX FOY ICE ICY IMP ION LEI LEX LEY LIE LIN LIP LOP LOX LYE MEL MEN MIC MIL MIX MOC MOL MON MOP MYC NIL NIM NIP NIX NOM OIL OLE ONE OPE OXY PEC PEN PIC PIE PIN PIX PLY POI POL POM POX PYE PYX YEN YEP YIN YIP YOM YON

2 letters out of COMPLEXIFYIN

EF EL EM EN EX FE IF IN LI LO ME MI MO MY NE NO OE OF OI OM ON OP OX OY PE PI XI YE YO

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Definitions of complexifyin in various dictionaries:

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Complexifyin might refer to
Besides complexity intended as a difficulty to compute a function (see computational complexity), in modern computer science and in statistics another Complexity index of a function stands for denoting its information content, in turn affecting the difficulty of learning the function from examples. * Complexity indices in this sense characterize the entire class of functions to which the one we are interested in belongs. Focusing on Boolean functions, the detail of a class * * * * * * C * * * * * {\displaystyle {\mathsf {C}}} * of Boolean functions c essentially denotes how deeply the class is articulated. * To identify this index we must first define a sentry function of * * * * * * C * * * * * {\displaystyle {\mathsf {C}}} * . * Let us focus for a moment on a single function c, call it a concept defined on a set * * * * * * X * * * * * {\displaystyle {\mathcal {X}}} * of elements that we may figure as points in a Euclidean space. In this framework, the above function associates to c a set of points that, since are defined to be external to the concept, prevent it from expanding into another function of * * * * * * C * * * * * {\displaystyle {\mathsf {C}}} * . We may dually define these points in terms of sentinelling a given concept c from being fully enclosed (invaded) by another concept within the class. Therefore, we call these points either sentinels or sentry points; they are assigned by the sentry function * * * * * S * * * * {\displaystyle {\boldsymbol {S}}} * to each concept of * * * * * * C * * * * * {\displaystyle {\mathsf {C}}} * in such a way that:* the sentry points are external to the concept c to be sentineled and internal to at least one other including it, * each concept * * * * * c * ′ * * * * {\displaystyle c'} * including c has at least one of the sentry points of c either in the gap between c and * * * * * c * ′ * * * * {\displaystyle c'} * , or outside * * * * * c * ′ * * * * {\displaystyle c'} * and distinct from the sentry points of * * * * * c * ′ * * * * {\displaystyle c'} * , and * they constitute a minimal set with these properties.The technical definition coming from (Apolloni 2006) is rooted in the inclusion of an augmented concept * * * * * c * * + * * * * * {\displaystyle c^{+}} * made up of c plus its sentry points by another * * * * * * ( * ...

Complexifyin might refer to

Besides complexity intended as a difficulty to compute a function (see computational complexity), in modern computer science and in statistics another Complexity index of a function stands for denoting its information content, in turn affecting the difficulty of learning the function from examples.
* Complexity indices in this sense characterize the entire class of functions to which the one we are interested in belongs. Focusing on Boolean functions, the detail of a class
*
*
*
*
*
* C
*
*
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*
* {\displaystyle {\mathsf {C}}}
* of Boolean functions c essentially denotes how deeply the class is articulated.
* To identify this index we must first define a sentry function of
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* .
* Let us focus for a moment on a single function c, call it a concept defined on a set
*
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* of elements that we may figure as points in a Euclidean space. In this framework, the above function associates to c a set of points that, since are defined to be external to the concept, prevent it from expanding into another function of
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* C
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* {\displaystyle {\mathsf {C}}}
* . We may dually define these points in terms of sentinelling a given concept c from being fully enclosed (invaded) by another concept within the class. Therefore, we call these points either sentinels or sentry points; they are assigned by the sentry function
*
*
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*
* S
*
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*
* {\displaystyle {\boldsymbol {S}}}
* to each concept of
*
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* in such a way that:* the sentry points are external to the concept c to be sentineled and internal to at least one other including it,
* each concept
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* {\displaystyle c'}
* including c has at least one of the sentry points of c either in the gap between c and
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* {\displaystyle c'}
* , or outside
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* and distinct from the sentry points of
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* , and
* they constitute a minimal set with these properties.The technical definition coming from (Apolloni 2006) is rooted in the inclusion of an augmented concept
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* c
*
* +
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*
* {\displaystyle c^{+}}
* made up of c plus its sentry points by another
*
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* ...

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