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CONSTRAINT SATISFACTION

  • Constraint satisfaction problem
  • Set of objects whose state must satisfy limits

    Constraint satisfaction problems (CSPs) are mathematical questions defined as a set of objects whose state must satisfy a number of constraints or limitations

    Constraint satisfaction problem

    Constraint_satisfaction_problem

  • Constraint satisfaction
  • Process in artificial intelligence and operations research

    intelligence and operations research, constraint satisfaction is the process of finding a solution through a set of constraints that impose conditions that the

    Constraint satisfaction

    Constraint_satisfaction

  • Complexity of constraint satisfaction
  • The complexity of constraint satisfaction is the application of computational complexity theory to constraint satisfaction. It has mainly been studied

    Complexity of constraint satisfaction

    Complexity_of_constraint_satisfaction

  • Decomposition method (constraint satisfaction)
  • In constraint satisfaction, a decomposition method translates a constraint satisfaction problem into another constraint satisfaction problem that is binary

    Decomposition method (constraint satisfaction)

    Decomposition_method_(constraint_satisfaction)

  • Constraint programming
  • Computer programming paradigm

    the values these variables can take simultaneously. Definition—A constraint satisfaction problem on finite domains (or CSP) is defined by a triplet ( X

    Constraint programming

    Constraint_programming

  • Hierarchical constraint satisfaction
  • and operations research, hierarchical constraint satisfaction (HCS) is a method of handling constraint satisfaction problems where the variables have large

    Hierarchical constraint satisfaction

    Hierarchical_constraint_satisfaction

  • Backtracking
  • Algorithmic paradigm for constraint satisfaction or enumeration problems

    for finding solutions to some computational problems, notably constraint satisfaction or enumeration problems, that incrementally builds candidates to

    Backtracking

    Backtracking

  • Weighted constraint satisfaction problem
  • Constraint Satisfaction Problem (WCSP), also known as Valued Constraint Satisfaction Problem (VCSP), is a generalization of a constraint satisfaction

    Weighted constraint satisfaction problem

    Weighted_constraint_satisfaction_problem

  • Constraint (mathematics)
  • Condition of an optimization problem which the solution must satisfy

    the modeling of constraint satisfaction problems, to extend the expressivity of constraint languages, and also to improve the constraint resolution: indeed

    Constraint (mathematics)

    Constraint_(mathematics)

  • Constraint satisfaction dual problem
  • a constraint satisfaction problem expressing each constraint of the original problem as a variable. Dual problems only contain binary constraints, and

    Constraint satisfaction dual problem

    Constraint_satisfaction_dual_problem

  • Graph homomorphism
  • Structure-preserving correspondence between node-link graphs

    graph colorings and allow the expression of an important class of constraint satisfaction problems, such as certain scheduling or frequency assignment problems

    Graph homomorphism

    Graph homomorphism

    Graph_homomorphism

  • Parallel constraint satisfaction processes
  • In behavioral psychology, parallel constraint satisfaction processes (PCSP) is a model of human behavior that integrates connectionism, neural networks

    Parallel constraint satisfaction processes

    Parallel_constraint_satisfaction_processes

  • Constraint logic programming
  • Logic programming with constraint satisfaction

    include concepts from constraint satisfaction. A constraint logic program is a logic program that contains constraints in the body of clauses. An example

    Constraint logic programming

    Constraint_logic_programming

  • Constraint
  • Topics referred to by the same term

    in literature Constraint algorithm, such as SHAKE, or LINCS Constraint programming Constraint logic programming Constraint satisfaction, in computer science

    Constraint

    Constraint

  • Universal algebra
  • Theory of algebraic structures in general

    groupoids. Universal algebra provides a natural language for the constraint satisfaction problem (CSP). CSP refers to an important class of computational

    Universal algebra

    Universal_algebra

  • AC-3 algorithm
  • Algorithms in constraint satisfaction

    In constraint satisfaction, the AC-3 algorithm (short for Arc Consistency Algorithm #3) is one of a series of algorithms used for the solution of constraint

    AC-3 algorithm

    AC-3_algorithm

  • Hybrid algorithm (constraint satisfaction)
  • intelligence and operations research for constraint satisfaction a hybrid algorithm solves a constraint satisfaction problem by the combination of two different

    Hybrid algorithm (constraint satisfaction)

    Hybrid_algorithm_(constraint_satisfaction)

  • Constraint graph
  • In constraint satisfaction research in artificial intelligence and operations research, constraint graphs and hypergraphs are used to represent relations

    Constraint graph

    Constraint_graph

  • Distributed constraint optimization
  • of constraints over the variables is minimized. Distributed Constraint Satisfaction is a framework for describing a problem in terms of constraints that

    Distributed constraint optimization

    Distributed_constraint_optimization

  • Zebra Puzzle
  • Logic puzzle

    benchmark in the evaluation of computer algorithms for solving constraint satisfaction problems. More recently, it has been used as a benchmark for logical

    Zebra Puzzle

    Zebra_Puzzle

  • The Art of Computer Programming
  • Books about algorithms by Donald Knuth

    and the volume was published in September 2022. Fascicle 7 ("Constraint Satisfaction"), planned for Volume 4C, was the subject of Knuth's talk on August

    The Art of Computer Programming

    The Art of Computer Programming

    The_Art_of_Computer_Programming

  • Local consistency
  • In constraint satisfaction, local consistency conditions are properties of constraint satisfaction problems related to the consistency of subsets of variables

    Local consistency

    Local_consistency

  • Local search (constraint satisfaction)
  • In constraint satisfaction, local search is an incomplete method for finding a solution to a problem. It is based on iteratively improving an assignment

    Local search (constraint satisfaction)

    Local search (constraint satisfaction)

    Local_search_(constraint_satisfaction)

  • Feasible region
  • Initial set of valid possible values

    boundaries are formed by hyperplanes and whose corners are vertices. Constraint satisfaction is the process of finding a point in the feasible region. A convex

    Feasible region

    Feasible region

    Feasible_region

  • Constraint composite graph
  • Node-weighted undirected graph associated with a given combinatorial optimization problem

    weighted constraint satisfaction problem. Developed and introduced by Satish Kumar Thittamaranahalli (T. K. Satish Kumar), the idea of the constraint composite

    Constraint composite graph

    Constraint_composite_graph

  • Geometric constraint solving
  • Constraint programming setting

    Geometric constraint solving is constraint satisfaction in a computational geometry setting, which has primary applications in computer aided design.

    Geometric constraint solving

    Geometric_constraint_solving

  • Constrained optimization
  • Optimizing objective functions that have constrained variables

    problem (COP) is a significant generalization of the classic constraint-satisfaction problem (CSP) model. COP is a CSP that includes an objective function

    Constrained optimization

    Constrained_optimization

  • Programming paradigm
  • High-level computer programming conceptualization

    (or constraint networks), directing allowable solutions (uses constraint satisfaction or simplex algorithm) Dataflow programming – forced recalculation

    Programming paradigm

    Programming_paradigm

  • List of algorithms
  • org/10.1016/j.jksus.2022.101923) Constraint satisfaction AC-3 algorithm general algorithms for the constraint satisfaction Chaff algorithm: an algorithm

    List of algorithms

    List_of_algorithms

  • Boolean satisfiability problem
  • Problem of determining if a Boolean formula could be made true

    generalizations include satisfiability for first- and second-order logic, constraint satisfaction problems, 0-1 integer programming. While SAT is a decision problem

    Boolean satisfiability problem

    Boolean_satisfiability_problem

  • Cognitive dissonance
  • Mental phenomenon of holding contradictory beliefs

    might influence a person's attitudes and behavior, are: Parallel constraint satisfaction processes The meta-cognitive model (MCM) of attitudes Adaptive

    Cognitive dissonance

    Cognitive dissonance

    Cognitive_dissonance

  • Knowledge graph
  • Type of knowledge base

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Knowledge graph

    Knowledge graph

    Knowledge_graph

  • Differential evolution
  • Method of mathematical optimization

    {\displaystyle \mathrm {CV} (x)} represents either a constraint violation (an L1 penalty) or the square of a constraint violation (an L2 penalty). This method, however

    Differential evolution

    Differential evolution

    Differential_evolution

  • Solver
  • Software for a class of mathematical problems

    problems, including SAT solvers Quantified boolean formula solvers Constraint satisfaction problems Shortest path problems Minimum spanning tree problems

    Solver

    Solver

  • ♯SAT
  • In computer science, the Sharp Satisfiability Problem (sometimes called Sharp-SAT, #SAT or model counting) is the problem of counting the number of interpretations

    ♯SAT

    ♯SAT

  • Min-conflicts algorithm
  • Search algorithm or heuristic method to solve constraint satisfaction problems

    min-conflicts algorithm is a search algorithm or heuristic method to solve constraint satisfaction problems. One such algorithm is min-conflicts hill-climbing. Given

    Min-conflicts algorithm

    Min-conflicts_algorithm

  • Stefan Szeider
  • Austrian computer scientist

    science, and more specifically on propositional satisfiability, constraint satisfaction problems, and parameterised complexity. He is a full professor

    Stefan Szeider

    Stefan_Szeider

  • Exact cover
  • Partition into subsets from a given family

    . The exact cover problem to find an exact cover is a kind of constraint satisfaction problem. The elements of S {\displaystyle {\mathcal {S}}} represent

    Exact cover

    Exact_cover

  • Constraint learning
  • constraint satisfaction backtracking algorithms, constraint learning is a technique for improving efficiency. It works by recording new constraints whenever

    Constraint learning

    Constraint_learning

  • Gödel Prize
  • Computer science award

    ISSN 0004-5411. Bulatov, Andrei A. (2013). "The complexity of the counting constraint satisfaction problem". Journal of the ACM. 60 (5). Association for Computing

    Gödel Prize

    Gödel Prize

    Gödel_Prize

  • Interchangeability algorithm
  • Technique to solve constraint satisfaction problems

    solve constraint satisfaction problems (CSP). A CSP is a mathematical problem in which objects, represented by variables, are subject to constraints on the

    Interchangeability algorithm

    Interchangeability_algorithm

  • Sudoku solving algorithms
  • Algorithms to complete a sudoku

    constraint satisfaction problem. In his paper Sudoku as a Constraint Problem, Helmut Simonis describes many reasoning algorithms based on constraints

    Sudoku solving algorithms

    Sudoku solving algorithms

    Sudoku_solving_algorithms

  • Generative AI
  • AI that generates content

    systems used symbolic AI methods such as state space search and constraint satisfaction and were a "relatively mature" technology by the early 1990s. They

    Generative AI

    Generative AI

    Generative_AI

  • Algorithm
  • Sequence of operations for a task

    to a linear function bound by linear equality and inequality constraints, the constraints can be used directly to produce optimal solutions. There are

    Algorithm

    Algorithm

    Algorithm

  • Grover's algorithm
  • Quantum search algorithm

    of worst-case complexity, for 3SAT is one such example. Generic constraint satisfaction problems also see quadratic speedups with Grover. These algorithms

    Grover's algorithm

    Grover's_algorithm

  • Unique games conjecture
  • Unsolved problem in computational complexity theory

    for which such an inapproximability result would hold include constraint satisfaction problems, which crop up in a wide variety of disciplines. According

    Unique games conjecture

    Unique_games_conjecture

  • Reasoning system
  • Type of software system

    and algorithms. Constraint solvers solve constraint satisfaction problems (CSPs). They support constraint programming. A constraint is a which must be

    Reasoning system

    Reasoning_system

  • 2-satisfiability
  • Logic problem, AND of pairwise ORs

    which can involve constraints on more than two variables, and of constraint satisfaction problems, which can allow more than two choices for the value of

    2-satisfiability

    2-satisfiability

  • Kakuro
  • Type of logic puzzle

    patterns, the same kinds as appear in Sudoku (see Pattern-Based Constraint Satisfaction and Logic Puzzles). Mathematically, Kakuro puzzles can be represented

    Kakuro

    Kakuro

    Kakuro

  • Concurrent constraint logic programming
  • processes rather than (or in addition to) solving constraint satisfaction problems. Goals in constraint logic programming are evaluated concurrently; a

    Concurrent constraint logic programming

    Concurrent_constraint_logic_programming

  • Expert system
  • Computer system emulating human expert

    a registered trade mark of CESI. AI winter CLIPS Constraint logic programming Constraint satisfaction Knowledge engineering Learning classifier system

    Expert system

    Expert system

    Expert_system

  • Guided local search
  • and extended GENET, a neural network architecture for solving Constraint Satisfaction Problems, which was developed by Chang Wang, Edward Tsang and Andrew

    Guided local search

    Guided_local_search

  • Comparison of multi-paradigm programming languages
  • (or constraint networks), directing allowable solutions (uses constraint satisfaction or simplex algorithm) Dataflow programming – forced recalculation

    Comparison of multi-paradigm programming languages

    Comparison_of_multi-paradigm_programming_languages

  • Hamiltonian mechanics
  • Formulation of classical mechanics using momenta

    Automated theorem proving Coding theory Computational geometry Constraint satisfaction Constraint programming Computational logic Cryptography Computational

    Hamiltonian mechanics

    Hamiltonian mechanics

    Hamiltonian_mechanics

  • Search algorithm
  • Any algorithm which solves the search problem

    as large as possible. The nurse scheduling problem Problems in constraint satisfaction, such as: The map coloring problem Filling in a sudoku or crossword

    Search algorithm

    Search algorithm

    Search_algorithm

  • School timetable
  • Table for coordinating educational schedules at an institution

    timetabling is a more computationally intensive task (see the constraint satisfaction problem). The task of constructing a high school timetable may

    School timetable

    School timetable

    School_timetable

  • Preference-based planning
  • Form of automated planning and scheduling

    preference, pref1. In the area of constraint satisfaction problems, flexible variants exist that deal with soft constraints in a similar way to preferences

    Preference-based planning

    Preference-based_planning

  • Decision theory
  • Branch of applied probability theory

    statistics Causal decision theory Choice modelling Choice theory Constraint satisfaction Daniel Kahneman Decision making Decision quality Emotional choice

    Decision theory

    Decision theory

    Decision_theory

  • Artificial Intelligence: A Modern Approach
  • Book by Stuart J. Russell and Peter Norvig

    probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep

    Artificial Intelligence: A Modern Approach

    Artificial_Intelligence:_A_Modern_Approach

  • Decomposition method
  • Topics referred to by the same term

    may specifically refer to: Decomposition method (constraint satisfaction) in constraint satisfaction Decomposition method (multidisciplinary design optimization)

    Decomposition method

    Decomposition_method

  • Knowledge base
  • Information repository with multiple applications

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Knowledge base

    Knowledge_base

  • Paul Thagard
  • Canadian philosopher (born 1950)

    decision-making, and planning—can be modeled as coherence-based constraint satisfaction processes rather than as purely deductive or probabilistic reasoning

    Paul Thagard

    Paul_Thagard

  • QMA
  • Quantum Merlin Arthur

    computation. k-local Hamiltonians problems are analogous to classical Constraint Satisfaction Problems. The following table illustrates the analogous gadgets

    QMA

    QMA

  • Look-ahead (backtracking)
  • and to choose the order of values to assign to it. In a general constraint satisfaction problem, every variable can take a value in a domain. A backtracking

    Look-ahead (backtracking)

    Look-ahead_(backtracking)

  • Bing Liu (computer scientist)
  • Chinese-American computer scientist

    was titled Reinforcement Planning for Resource Allocation and Constraint Satisfaction. He developed a mathematical model that can reveal fake advertising

    Bing Liu (computer scientist)

    Bing_Liu_(computer_scientist)

  • David Waltz
  • American computer scientist (1943–2012)

    contributions in several areas of artificial intelligence, including constraint satisfaction, case-based reasoning and the application of massively parallel

    David Waltz

    David_Waltz

  • Backward chaining
  • Method of forming inferences

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Backward chaining

    Backward_chaining

  • Knowledge-based configuration
  • AI customization approach

    knowledge from problem solving knowledge—examples thereof are the constraint satisfaction problem, the Boolean satisfiability problem, and different answer

    Knowledge-based configuration

    Knowledge-based_configuration

  • Hamiltonian complexity
  • complexity theory and condensed matter physics. It mostly studies constraint satisfaction problems related to ground states of local Hamiltonians; that is

    Hamiltonian complexity

    Hamiltonian_complexity

  • Knowledge Graph (Google)
  • Knowledge base to enhance search results

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Knowledge Graph (Google)

    Knowledge Graph (Google)

    Knowledge_Graph_(Google)

  • Automated reasoning
  • Subfield of computer science and logic

    part of the uncertainty field is that of argumentation, where further constraints of minimality and consistency are applied on top of the more standard

    Automated reasoning

    Automated_reasoning

  • Constraint inference
  • In constraint satisfaction, constraint inference is a relationship between constraints and their consequences. A set of constraints D {\displaystyle D}

    Constraint inference

    Constraint_inference

  • Tree decomposition
  • Mapping of a graph into a tree

    play an important role in problems like probabilistic inference, constraint satisfaction, query optimization, and matrix decomposition. The concept of tree

    Tree decomposition

    Tree decomposition

    Tree_decomposition

  • Georg Gottlob
  • Austrian computer scientist

    decompositions, a framework for obtaining tractable structural classes of constraint satisfaction problems, and a generalisation of the notion of tree decomposition

    Georg Gottlob

    Georg Gottlob

    Georg_Gottlob

  • Inference engine
  • Component of artificial intelligence systems

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Inference engine

    Inference_engine

  • Systems thinking
  • Examining complex systems as a whole

    study, as in feedback control systems, in stability theory, in constraint satisfaction problems, the unification algorithm, type inference, and so forth

    Systems thinking

    Systems thinking

    Systems_thinking

  • LOGCFL
  • Computational complexity class

    relational structures checking the existence of solutions of acyclic constraint satisfaction problems LOGCFL is the set of decision problems solvable by nondeterministic

    LOGCFL

    LOGCFL

  • List of tools for static code analysis
  • such as abstract interpretation and model checking combined with constraint satisfaction techniques to detect or prove the absence of certain run time errors

    List of tools for static code analysis

    List_of_tools_for_static_code_analysis

  • Hélène Fargier
  • French computer scientist

    decision making under uncertainty, modeled as constraint satisfaction and flexible or fuzzy constraint satisfaction problems, and applied to problems in operations

    Hélène Fargier

    Hélène_Fargier

  • Eun Jung Kim (computer scientist)
  • South Korean computer scientist

    specializing in parameterized complexity, parameterized algorithms for constraint satisfaction problems, and width parameters in graphs and matroids. She is an

    Eun Jung Kim (computer scientist)

    Eun_Jung_Kim_(computer_scientist)

  • Open Mind Common Sense
  • Artificial intelligence project

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Open Mind Common Sense

    Open_Mind_Common_Sense

  • Lenka Zdeborová
  • Czech physics researcher

    applies methods from statistical physics to machine learning and constraint satisfaction problems. She is a professor of physics and computer science and

    Lenka Zdeborová

    Lenka Zdeborová

    Lenka_Zdeborová

  • Lagrangian mechanics
  • Formulation of classical mechanics

    minimum, or saddle point) throughout the time evolution of the system. This constraint allows the calculation of the equations of motion of the system using

    Lagrangian mechanics

    Lagrangian mechanics

    Lagrangian_mechanics

  • Knowledge representation and reasoning
  • Field of artificial intelligence

    described as classes, subclasses, slots (data values) with various constraints on possible values. Rules were good for representing and utilizing complex

    Knowledge representation and reasoning

    Knowledge_representation_and_reasoning

  • Automata theory
  • Study of abstract machines and automata

    Automated theorem proving Coding theory Computational geometry Constraint satisfaction Constraint programming Computational logic Cryptography Computational

    Automata theory

    Automata theory

    Automata_theory

  • SAT solver
  • Computer program for the Boolean satisfiability problem

    Schöning, Uwe (Oct 1999). "A probabilistic algorithm for k-SAT and constraint satisfaction problems" (PDF). 40th Annual Symposium on Foundations of Computer

    SAT solver

    SAT_solver

  • Attempto Controlled English
  • Controlled language

    Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Attempto Controlled English

    Attempto_Controlled_English

  • Potential theory
  • Harmonic functions as solutions to Laplace's equation

    Automated theorem proving Coding theory Computational geometry Constraint satisfaction Constraint programming Computational logic Cryptography Computational

    Potential theory

    Potential_theory

  • Multi-objective optimization
  • Mathematical concept

    subject to a constraint based on how much income is available to spend on those goods and on the prices of those goods. This constraint allows more of

    Multi-objective optimization

    Multi-objective_optimization

  • Constraints (journal)
  • Academic journal

    Constraints is a quarterly peer-reviewed, scientific journal, focused on constraint programming, constraint satisfaction and optimization. It is published

    Constraints (journal)

    Constraints_(journal)

  • Computational mathematics
  • Area of mathematics

    Automated theorem proving Coding theory Computational geometry Constraint satisfaction Constraint programming Computational logic Cryptography Computational

    Computational mathematics

    Computational mathematics

    Computational_mathematics

  • Playlist
  • Curated list of video or audio files

    Pachet and Pierre Roy. Constraint satisfaction techniques were developed to create playlists that satisfy arbitrary "sequence constraints", such as continuity

    Playlist

    Playlist

    Playlist

  • Local search (optimization)
  • Method for problem solving in optimization

    is an assignment of nurses to shifts which satisfies all established constraints The k-medoid clustering problem and other related facility location problems

    Local search (optimization)

    Local_search_(optimization)

  • Global optimization
  • Branch of mathematics

    Neumaier, Complete Search in Continuous Global Optimization and Constraint Satisfaction, pp. 271–369 in: Acta Numerica 2004 (A. Iserles, ed.), Cambridge

    Global optimization

    Global_optimization

  • Sudoku
  • Logic-based number-placement puzzle

    nonessentially equivalent minimal puzzles exist. 36 Cube Blendoku Constraint satisfaction problem Cracking the Cryptic Futoshiki Glossary of Sudoku Hashiwokakero

    Sudoku

    Sudoku

    Sudoku

  • Multi-agent planning
  • Knowledge Interchange Format Web Ontology Language Constraint satisfaction Constraint programming Constraint logic programming Local consistency SMT solvers

    Multi-agent planning

    Multi-agent_planning

  • Outline of algorithms
  • Overview of and topical guide to algorithms

    Broyden–Fletcher–Goldfarb–Shanno algorithm Lagrange multiplier Constraint satisfaction problem Local search (optimization) Hill climbing Tabu search Genetic

    Outline of algorithms

    Outline_of_algorithms

  • Interval propagation
  • intervals. Interval propagation considers an estimation problem as a constraint satisfaction problem. A contractor associated to an equation involving the variables

    Interval propagation

    Interval_propagation

  • Stochastic calculus
  • Calculus on stochastic processes

    Automated theorem proving Coding theory Computational geometry Constraint satisfaction Constraint programming Computational logic Cryptography Computational

    Stochastic calculus

    Stochastic_calculus

  • Backjumping
  • In backtracking algorithms, technique that reduces search space

    further branching. In constraint satisfaction, a partial evaluation is consistent if and only if it satisfies all constraints involving the assigned

    Backjumping

    Backjumping

    Backjumping

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CONSTRAINT SATISFACTION

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CONSTRAINT SATISFACTION

  • Duress
  • n.

    Hardship; constraint; pressure; imprisonment; restraint of liberty.

  • Constrainer
  • n.

    One who constrains.

  • Constraining
  • p. pr. & vb. n.

    of Constrain

  • Constrain
  • v. t.

    To produce in such a manner as to give an unnatural effect; as, a constrained voice.

  • Obstriction
  • n.

    The state of being constrained, bound, or obliged; that which constrains or obliges; obligation; bond.

  • Constraint
  • n.

    The act of constraining, or the state of being constrained; that which compels to, or restrains from, action; compulsion; restraint; necessity.

  • Constrainedly
  • adv.

    By constraint or compulsion; in a constrained manner.

  • Constrain
  • v. t.

    To secure by bonds; to chain; to bond or confine; to hold tightly; to constringe.

  • Franchise
  • a.

    Exemption from constraint or oppression; freedom; liberty.

  • Constrain
  • v. t.

    To bring into a narrow compass; to compress.

  • Constrained
  • a.

    Marked by constraint; not free; not voluntary; embarrassed; as, a constrained manner; a constrained tone.

  • Constrainable
  • a.

    Capable of being constrained; liable to constraint, or to restraint.

  • Constricting
  • p. pr. & vb. n.

    of Constrict

  • Constrain
  • v. t.

    To violate; to ravish.

  • Constrain
  • v. t.

    To hold back by force; to restrain; to repress.

  • Constrained
  • imp. & p. p.

    of Constrain

  • Enforcement
  • n.

    That which enforces, constraints, gives force, authority, or effect to; constraint; force applied.

  • Constrain
  • v. t.

    To compel; to force; to necessitate; to oblige.

  • Unconstraint
  • n.

    Freedom from constraint; ease.

  • Constricted
  • imp. & p. p.

    of Constrict