Constraint Sample Clauses
A Constraint clause sets specific limitations or requirements that must be adhered to within the context of an agreement or contract. This clause may restrict certain actions, impose conditions on performance, or require compliance with particular standards or regulations. For example, it might prohibit the use of certain materials, require adherence to safety protocols, or limit the scope of work to defined parameters. The core function of a Constraint clause is to ensure that parties operate within agreed boundaries, thereby managing risk and promoting clarity in obligations.
Constraint. An upper or lower limit placed on a variable or set of variables that are used by the ISO in its SCUC, RTC or RTD programs to control and/or facilitate the operation of the NYS Transmission Systems. Contingency: An actual or potential unexpected failure or outage of a system component, such as a Generator, transmission line, circuit breaker, switch or other electrical element. A Contingency also may include multiple components, which are related by situations leading to simultaneous component outages. Contract Establishment Date: The date, listed in Attachment L, on which the listed existing agreements which are the source of Grandfathered Rights and Grandfathered TCCs were executed.
Constraint. Other NGOs Offering Material and Cash Support Jeopardize Commissioners’ Spirit of Volunteerism
Constraint. A restriction or limitation that influences the project plan. For example, a target date may be a constraint on scheduling. A schedule may be constrained by resource limitations. Method for managing the software builds versions during the project lifecycle. Methods and process for controlling and managing the project contract(s).
Constraint. The second dimension has less to do with resources and efficiency and more to do with the security sector’s behavior toward civilians. The current literature has con- ceptualized this as the relationship between the military and civilian leaders. One of the first scholars to look at this relationship is Huntington (1957). His work draws three main conclusions: there is a difference between civilian and military roles; the key to civilian control is professionalism; and the key to professionalism is military autonomy. According to Huntington (1957), objective control—maximizing military professionalism—and subjective civilian control—maximizing civilian power vis a vis the military’s—are affected by variation in external threat, constitutional structure of states, and the ideological make-up of society.14 Under this rubric, ideal civil-military relations entail objective control, which weakens the military politically without weak- ening it militarily. The optimal control mechanism involves an “autonomous military professionalism,” with minimal civilian meddling, as Huntington (1957) argued that civilian meddling undermines objective control.15 In this way, he asserts that profes- sionalization is more effective in controlling the military than using subjective control mechanisms, which involve placing legal and institutional restrictions on the military’s autonomy. Similar to Huntington (1957), but taking a sociological approach,16 ▇▇▇▇▇▇▇▇ (1961) argues that professionalism affects civil-military relations. He posits that 14See pg. 80-85 15See pg. 83-85 16Feaver (2009) argues that the approaches by Huntington (1957) and ▇▇▇▇▇▇▇▇ (1961) are similar (see pg.8-9). changes in the military, including a shift from authoritarian domination in military authority to greater reliance on manipulation, persuasion, and group consensus, en- hancing skills development to include civilian-oriented tasks (i.e. engineers, logistics, leadership training etc.), broadening recruitment efforts, creation of career trajecto- ▇▇▇▇, and politicization of military leadership, contribute to a convergence between the military and civilian spheres.17 In another body of work, ▇▇▇▇▇▇▇▇ (1964) develops five forms forms of civil- military relationships: authoritarian-personal control, authoritarian-mass party, democratic competitive and semi-competitive systems, civil-military coalition, and military oligarchy. He then explores the characteristics of the military establishment in new nati...
Constraint. While our study supported the used of US as an accurate diagnostic tool for detecting tendo-ligamentous and soft tissue related ankle lesions, we couldn’t state that US could ultimately replace the need for the more costly, time-consuming MRI in detecting ankle joint abnormality. This is obviously much needed to elevate a great health burden, and allow easier accessibility for patients to get more timely, less expensive, and less tiring imaging experience.
Constraint must hold eąuality because otherwise there exists a new contract (M , N , R, P } with M = M + s and N = N + s where s ≤ x — y — M , which would generate a higher payo to the type G manufacturer than the old contract (M, N, R, P } and yield the same cash flow to the type B manufacturer.5; As a conseąuence, constraint (l8) is automatically satisfied. Following the same logic, we can show that S = fx + fkбx — 2y. 2H N?_ih | i ?i UL?|h@U| ti|| ?}c @** | i ?i^ @* |) @?_ i^ @* |) UL?t|h@ ?|t @hi t| ** t@| t i_
Constraint. 5.1 The party undertaking a mobile marketing campaign will provide a global "throttling mechanism" capable of managing the number of messages received by an individual consumer. The purpose of the throttle is to effectively manage and limit mobile marketing programs to a reasonable number of programs, defaulted to 3 per day. Consumers will have the option to override the throttle through an additional Opt-in available through the standard channels.
Constraint. The functionality mentioned in the deliverables will have to either work within or work around the limitations of the environment. These include browser capabilities, product capabilities, interface capabilities etc. Selectica suggests that the testing environment be restricted to Netscape 4.x and Internet Explorer 4.x (JavaScript 1.2 compliant versions only) on Windows NT, 95 and 98 platforms.
Constraint. A constraint can be at the position-level or at the velocity level. A constraint can be an equality constraint (target), or an inequality constraint (target_lower / target_upper). A position-level constraint expresses the desire that a given expression evolves towards and follows a given target. The dynamics by which this expression evolves is specified by a value K whose semantics are defined by the solver (see later). A set of constraints can be conflicting, i.e. they cannot be satisfied simultaneously. Constraints with a higher priority are always satisfied before lower priority constraints. To ensure safety, the highest priority constraints cannot be conflicting. Conflicting constraints of the same priority can be given a weight to indicate their importance with respect to each other. Semantically, the constraints specify a Lagrange condition (i.e. enforced along the whole time interval the task controller is active); they do not specify a ▇▇▇▇▇ condition (that only needs to be achieved at the end of the task). A constraint definition is given by: Constraint{ context = <context> name = <string> [optional, default_name<nr>], expr = <expression> target = <value> [optional, 0.0], target_lower = <value> [optional, 0.0], target_upper = <value> [optional, 0.0], K = <value> [optional, defaultK], K_lower = <value> [optional, defaultK], K_upper = <value> [optional, default, weight = <value> [optional, defaultweight], priority = <integer value> [optional, defaultpriority] } The right hand side of expr gives the expression on which the constraint is defined (see appendix A for the syntax of an expression). Name gives the name of the expression. Diagnostic messages can refer to this name. If the name is not specified, a default name and a sequence number is used. context refers to the context where the constraint will be defined. For equality constraints, target refers to the target value of the expression. The controller will try to regulate the robot system such that the expression will evolve towards the specified target value. For inequality constraints target_lower and/or target_upper specify the lower and upper bound for the expression. K specifies how fast you want to regulated towards the given value. In case of a upper and a lower bound (target_lower/target_upper), you can also specify a separate value for K for the upper and lower bound (K_lower/K_upper). weight specifies the weight of the constraint. This weight specifies what happens when there are con...