In an embodiment, a method includes: receiving data representative of an electrical circuit including an arrangement of devices, inputs, outputs, and power sources; pairing the devices based on a complimentary feature shared between the devices, the complimentary feature being associated to an operational characteristic of the devices; grouping the paired devices into device clusters based on common features shared between two or more of the paired devices; arranging the device clusters based on locations of input, outputs, or power connections of the device clusters to optimize electrical isolation or electrical connections between the device clusters; and generating discrete portions of the arranged device clusters to form a physical layout representative of a physical manifestation of the electrical circuit, such that when the discrete portions are integrated together they form a physical manifestation of the electrical circuit.

The present invention is a stator core having a plurality of laminated electrical steel sheets, in which, among a plurality of teeth (121a to 121p) of the stator core, a width of teeth along a direction in which magnetic characteristics are excellent may be narrower than a width of teeth along a direction in which the magnetic characteristics are poor.

The present invention is a stator core having a plurality of laminated electrical steel sheets, in which, among a plurality of teeth (121a to 121p) of the stator core, a width of teeth along a direction in which magnetic characteristics are excellent may be narrower than a width of teeth along a direction in which the magnetic characteristics are poor.

Disclosed is a method and apparatus that determines receiver capacitance values for a receiver cell from a multi-segment receiver capacitance model (C1Cn) model. Values for receiver capacitance are determined from a Composite Current Source for Noise (CCSN) model under conditions used to attain receiver capacitance values for the C1Cn model Difference values for the difference between the values from the CCSN model and from the C1Cn model are determined. Calibration factors are iteratively applied to parameters of the CCSN model to obtain a minimum difference value for difference between receiver capacitance values from the CCSN model and receiver capacitance values from the C1Cn model. Calibration factor values that result in the difference value being within an acceptable range are stored.

Disclosed is a method and apparatus that determines receiver capacitance values for a receiver cell from a multi-segment receiver capacitance model (C1Cn) model. Values for receiver capacitance are determined from a Composite Current Source for Noise (CCSN) model under conditions used to attain receiver capacitance values for the C1Cn model Difference values for the difference between the values from the CCSN model and from the C1Cn model are determined. Calibration factors are iteratively applied to parameters of the CCSN model to obtain a minimum difference value for difference between receiver capacitance values from the CCSN model and receiver capacitance values from the C1Cn model. Calibration factor values that result in the difference value being within an acceptable range are stored.

A non-transitory computer-readable storage medium storing a program that causes a computer to execute a process, the process includes acquiring, based on a compression model that is acquired by learning processing on a set of data generated by using a combination of values of variables and that compresses dimensions of data, a point corresponding to data generated by using a predetermined combination of the values of variables within a compressed space; acquiring, based on the point corresponding to the data generated by using the predetermined combination, a target point within the space corresponding to a target value of a characteristic changing in accordance with the values of variables, and a regression model within the space for a predetermined variable of variables, a change amount of the predetermined variable; and changing the value of the predetermined variable included in the predetermined combination by using the change amount.

A programmable impedance element consists of a plurality of nominally identical two-port elements, each two-port element having an impedance element and two switches, the two-port elements arranged in a chain fashion with a structured set of switches such that a range of impedances can be obtained from each cell by dynamically changing the connections between the impedance elements in the cell. The common cell is constructed by connecting the nominally identical two-port impedance elements in a way that the number of possible combinations of the impedance elements is reduced to the subset of all possible combinations that uses the minimum possible number of connections. This structure allows the creation of matched impedances using industry standard devices. The connections between impedance elements are switches that may be “field-programmable,” i.e., that may be set on the chip after manufacture and configured during operation of the circuit, or alternatively may be mask programmable.

A programmable impedance element consists of a plurality of nominally identical two-port elements, each two-port element having an impedance element and two switches, the two-port elements arranged in a chain fashion with a structured set of switches such that a range of impedances can be obtained from each cell by dynamically changing the connections between the impedance elements in the cell. The common cell is constructed by connecting the nominally identical two-port impedance elements in a way that the number of possible combinations of the impedance elements is reduced to the subset of all possible combinations that uses the minimum possible number of connections. This structure allows the creation of matched impedances using industry standard devices. The connections between impedance elements are switches that may be “field-programmable,” i.e., that may be set on the chip after manufacture and configured during operation of the circuit, or alternatively may be mask programmable.

A method (and system) includes receiving, at a computing device including a design tool application, design parameters indicative of a plurality of power supply loads to be powered. The method further includes generating power supply solutions that do not include multi-channel voltage regulators and generating power supply solutions that do include multi-channel voltage regulators. The method also includes ranking all power supply solutions and providing the ranked power supply solutions to a user.

A method (and system) includes receiving, at a computing device including a design tool application, design parameters indicative of a plurality of power supply loads to be powered. The method further includes generating power supply solutions that do not include multi-channel voltage regulators and generating power supply solutions that do include multi-channel voltage regulators. The method also includes ranking all power supply solutions and providing the ranked power supply solutions to a user.