This glossary defines the core terminology used throughout EQ Effects.
All terms are used consistently across the system and are intended to:
- reduce ambiguity
- establish shared understanding
- support clear communication across domains
Simplifications or modeling decisions applied to a problem.
Assumptions define how the system interprets and evaluates the Mathematical Object.
Constraints applied at the limits of a problem domain.
They define how the system behaves at the edges of the solution space.
A system model in which the computer performs the computation under governed conditions, rather than relying on user-defined solver implementations.
An input path that allows users to express mathematical intent using near-natural language and domain reasoning.
The system layer responsible for interpreting, validating, and stabilizing input before formal structuring.
A live semantic state container that tracks variables, assumptions, constraints, units, and execution readiness.
The system component that aggregates input, constructs intent models, applies constraints, resolves ambiguity, and produces a validated contextual state.
Conditions that limit the behavior of variables or solutions.
Constraints may be explicitly defined or inferred.
The classification of a problem within a specific field (e.g., physics, engineering, finance), used to guide interpretation and execution.
A structured representation of relationships between variables and expressions, defining dependencies and evaluation order.
The system layer responsible for transforming the Mathematical Object into computation.
The visibility of execution decisions, methods, and processes within the system.
The system layer where contextual understanding is transformed into structured mathematical representation.
A structured interface for defining equations, variables, and relationships without relying on programming syntax.
The system layer that ensures traceability, consistency, reproducibility, and transparency across all stages.
A model in which computation is controlled by system-defined rules rather than ad hoc user implementation.
The ability of the system to accept multiple forms of input, including conceptual language, structured mathematics, and contextual definitions.
The system layer where user input is captured and organized through multiple synchronized paths.
A structured approach to contextual processing where input paths are separated, reasoning is staged, and outputs are synthesized into a coherent result.
Referenced for compatibility, not as a dependency.
The canonical representation of a problem in EQ Effects.
It includes equations, variables, constraints, assumptions, and precision requirements.
The process of determining the numerical or analytical approach used to solve the Mathematical Object.
The intake mechanism that allows users to express intent through multiple synchronized input paths, including conceptual, structured, and contextual inputs.
The system layer responsible for structuring and presenting results, including context and process.
The management of numerical accuracy and fidelity throughout computation.
User-defined or system-inferred expectations for numerical accuracy.
A structured account of the steps taken during execution, including method selection and transformations.
The ability to reproduce computation results using the same Mathematical Object and execution conditions.
The process of presenting computed results in a meaningful, domain-relevant form.
A structured output that includes results, process trace, assumptions, validation, precision information, and replay data.
An input path that allows users to define mathematical expressions and relationships in a structured format.
The interface model consisting of conceptual input, structured mathematical form, and contextual state.
The system’s process of converting conceptual input into structured mathematical representation.
System-generated feedback that identifies inconsistencies, potential errors, or limitations in the computation.
A structured record of all variables, including definitions, units, domains, and constraints.
The process of assigning computational tasks to available hardware resources.
This glossary provides a consistent vocabulary for understanding EQ Effects.
All system components, interactions, and outputs are defined using these terms, ensuring clarity across:
- documentation
- development
- collaboration