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Process simulation is a model -based representation of chemical, physical, biological, and other technical processes and unit operations in software. Basic prerequisites for the model are chemical and physical properties [1] of pure components and mixtures, of reactions, and of mathematical models which, in combination, allow the calculation of ...
Constraint satisfaction. In artificial intelligence and operations research, constraint satisfaction is the process of finding a solution through a set of constraints that impose conditions that the variables must satisfy. [1] A solution is therefore an assignment of values to the variables that satisfies all constraints—that is, a point in ...
The primary thinking processes, as codified by Goldratt and others: Current reality tree (CRT, similar to the current state map used by many organizations) — evaluates the network of cause-effect relations between the undesirable effects (UDE's, also known as gap elements) and helps to pinpoint the root cause (s) of most of the undesirable ...
Example of a Business Process Model and Notation for a process with a normal flow. Business Process Model and Notation (BPMN) is a graphical representation for specifying business processes in a business process model.
A biomechanics simulator is a simulation platform for creating dynamic mechanical models built from combinations of rigid and deformable bodies, joints, constraints, and various force actuators. It is specialized for creating biomechanical models of human anatomical structures, with the intention to study their function and eventually assist in ...
Social psychology. Parallel constraint satisfaction processes can be applied to three broad areas in social psychology: [1] Impression formation and causal attribution. Cognitive consistency. Goal-directed behavior. This approach revealed that some phenomena that seem unexpected or counterintuitive are in actuality due to the normal functioning ...
Constrained optimization. In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function with respect to some variables in the presence of constraints on those variables. The objective function is either a cost function or energy function, which is to ...
The complexity of constraint satisfaction is the application of computational complexity theory to constraint satisfaction. It has mainly been studied for discriminating between tractable and intractable classes of constraint satisfaction problems on finite domains. Solving a constraint satisfaction problem on a finite domain is an NP-complete ...