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Was (wer) ist budget constraint - definition
Budget constraint
THE COMBINATIONS OF GOODS AND SERVICES THAT A CONSUMER MAY PURCHASE GIVEN CURRENT PRICES WITHIN THEIR GIVEN INCOME
Budget line; Resource constraint; Individual budget constraint; Budget Constraint; Soft budget constraint
In economics, a budget constraint represents all the combinations of goods and services that a consumer may purchase given current prices within his or her given income. Consumer theory uses the concepts of a budget constraint and a preference map as tools to examine the parameters of consumer choices .
Constraint (computational chemistry)
![Resolving the constraints of a rigid water molecule using [[Lagrange multipliers]]: a) the unconstrained positions are obtained after a simulation time-step, b) the [[gradients]] of each constraint over each particle are computed and c) the Lagrange multipliers are computed for each gradient such that the constraints are satisfied.](https://commons.wikimedia.org/wiki/Special:FilePath/SHAKE algorithm.png?width=200 "Resolving the constraints of a rigid water molecule using [[Lagrange multipliers]]: a) the unconstrained positions are obtained after a simulation time-step, b) the [[gradients]] of each constraint over each particle are computed and c) the Lagrange multipliers are computed for each gradient such that the constraints are satisfied.")
METHOD FOR SATISFYING THE NEWTONIAN MOTION OF A RIGID BODY WHICH CONSISTS OF MASS POINTS
SHAKE (constraint); SETTLE (constraint); LINCS (constraint); Constraint algorithm (mechanics); SHAKE algorithm; Simple constraint; M-SHAKE; SETTLE (algorithm); SETTLE; Constraint algorithm
In computational chemistry, a constraint algorithm is a method for satisfying the Newtonian motion of a rigid body which consists of mass points. A restraint algorithm is used to ensure that the distance between mass points is maintained.
Geometric constraint solving
CONSTRAINT SATISFACTION IN A COMPUTATIONAL GEOMETRY SETTING
Draft:Geometric constraint solving
Geometric constraint solving is constraint satisfaction in a computational geometry setting, which has primary applications in computer aided design. A problem to be solved consists of a given set of geometric elements and a description of geometric constraints between the elements, which could be non-parametric (tangency, horizontality, coaxiality, etc) or parametric (like distance, angle, radius).
