Methods and software that allow one or more users to utilize custom pricing in the context of an electronic marketplace. Such custom pricing can be implemented by transmitting specifications of custom pricing engines and/or custom design document interrogator engines to the marketplace along with or independently from one or more design documents containing structures to be priced. Various corresponding and related methods and software are described.

A system for generating three-dimensional models of a physical environment such as a room. In some cases, the system may utilize a two-dimensional floor, room, or house plan to generate, close and/or orthogonalize wall segments. The system may then generate a three-dimensional model by projecting the wall segments into a three-dimensional space and inserting objects.

A design application is configured to perform a system-level optimization of a collection of system components. The design application iteratively executes a multi-objective solver to optimize structural and functional relationships between the system components in order to meet global design criteria and generate a system design. The design application initializes the design process by extracting from a knowledge base system templates having taxonomic, structural, or functional attributes relevant to the system design. The design application generates the knowledge base by mining taxonomic, structural, and functional relationships from a corpus of engineering texts.

A design application is configured to perform a system-level optimization of a collection of system components. The design application iteratively executes a multi-objective solver to optimize structural and functional relationships between the system components in order to meet global design criteria and generate a system design. The design application initializes the design process by extracting from a knowledge base system templates having taxonomic, structural, or functional attributes relevant to the system design. The design application generates the knowledge base by mining taxonomic, structural, and functional relationships from a corpus of engineering texts.

Provided is a method for analyzing and designing a physical system architecture of a safety-critical system, wherein a physical system analysis model representing the physical system architecture of the safety-critical system is modified incrementally until calculated failure rates of failure modes of the physical system analysis model are less or equal to failure rates of corresponding failure modes of a functional system analysis model representing a functional system architecture of the safety-critical system.

Provided is a method for analyzing and designing a physical system architecture of a safety-critical system, wherein a physical system analysis model representing the physical system architecture of the safety-critical system is modified incrementally until calculated failure rates of failure modes of the physical system analysis model are less or equal to failure rates of corresponding failure modes of a functional system analysis model representing a functional system architecture of the safety-critical system.

In one embodiment, a field programmable gate array (FPGA) includes: at least one programmable logic circuit to execute a function programmed with a bitstream; a self-test circuit to execute a self-test at a first voltage, the self-test and the first voltage programmed with first metadata associated with the bitstream, the self-test including at least one critical path length of the function; and a power controller to identify an operating voltage for the at least one programmable logic circuit based at least in part on the execution of the self-test at the first voltage.

A design application is configured to visualize and explore large-scale generative design datasets. The design explorer includes a graphical user interface (GUI) engine that generates a design explorer, a composite explorer, and a tradeoff explorer. The design explorer displays a visualization of a multitude of design options included in a design space. The design explorer allows a user to filter the design space based on input parameters that influence a generative design process as well as various design characteristics associated with the different design options. The composite explorer displays a fully interactive composite of multiple different design options. The composite explorer exposes various tools that allow the user to filter the design space via interactions with the composite. The tradeoff explorer displays a tradeoff space based on different rankings of design options. The different rankings potentially correspond to competing design characteristics specified by different designers.

A design application is configured to visualize and explore large-scale generative design datasets. The design explorer includes a graphical user interface (GUI) engine that generates a design explorer, a composite explorer, and a tradeoff explorer. The design explorer displays a visualization of a multitude of design options included in a design space. The design explorer allows a user to filter the design space based on input parameters that influence a generative design process as well as various design characteristics associated with the different design options. The composite explorer displays a fully interactive composite of multiple different design options. The composite explorer exposes various tools that allow the user to filter the design space via interactions with the composite. The tradeoff explorer displays a tradeoff space based on different rankings of design options. The different rankings potentially correspond to competing design characteristics specified by different designers.

The invention relates to a plausibility checking method for rapid prototyping devices, in particular for stereolithography devices. In this connection, input data (14) is checked which is present particularly in the form of graphics data and of which every file renders a layer. Every layer comprises a plurality of pixels. The component to be printed in the respective layer is produced based on output data by the rapid prototyping device. The input data of two consecutive layers is checked and the sum of all pixels to be exposed is determined for every layer. A signal (22) is output in particular as a warning signal (26) when the pixel sum of a following layer is larger than in the previous layer by a predetermined factor.