Results 151 to 160 of about 5,016,978 (196)
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A time-integrated Richardson model
European Journal of Operational Research, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Péntek, Á. +3 more
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ACM SIGSMALL/PC Notes, 1991
That sounds somewhat redundant, doesn't it? What it means will become clear in the course of this narrative.
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That sounds somewhat redundant, doesn't it? What it means will become clear in the course of this narrative.
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Integrating unseen events over time
Consciousness and Cognition, 2012Events often share elements that guide us to integrate knowledge from these events. Integration allows us to make inferences that affect reactions to new events. Integrating events and making inferences are thought to depend on consciousness. We show that even unconsciously experienced events, that share elements, are integrated and influence reactions
Reber Thomas P, Henke Katharina
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Social Service Review, 1978
Current practice needs and demands influenced the Columbia University School of Social Work to integrate its casework and group work areas and to develop a new social work practice sequence. Integration of the two faculty groups with their different socializations into the profession created painful intrasystemic tensions.
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Current practice needs and demands influenced the Columbia University School of Social Work to integrate its casework and group work areas and to develop a new social work practice sequence. Integration of the two faculty groups with their different socializations into the profession created painful intrasystemic tensions.
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1994
The process of semi-discretization discussed in chapter 6 produces a system of ordinary differential equations with respect to time: $$M\frac{d\textup{v}}{dt}+A\;\textup{v}=0$$ (8.1) where v contains all unknowns and M is a “mass matrix”; it is nontrivial in finite-element methods but is unity in most other cases.
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The process of semi-discretization discussed in chapter 6 produces a system of ordinary differential equations with respect to time: $$M\frac{d\textup{v}}{dt}+A\;\textup{v}=0$$ (8.1) where v contains all unknowns and M is a “mass matrix”; it is nontrivial in finite-element methods but is unity in most other cases.
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2003
For the numerical solution of initial value problems for systems of ODEs there are many methods available, such as Runge-Kutta methods and linear multistep methods. In this chapter we give examples of methods which are of interest in the discretization of time-dependent PDEs. We will confine ourselves to methods having a low to moderate order.
Willem Hundsdorfer, Jan Verwer
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For the numerical solution of initial value problems for systems of ODEs there are many methods available, such as Runge-Kutta methods and linear multistep methods. In this chapter we give examples of methods which are of interest in the discretization of time-dependent PDEs. We will confine ourselves to methods having a low to moderate order.
Willem Hundsdorfer, Jan Verwer
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2013
In flexible multibody dynamics, the time integration of the semi-discretized equations of motion represents a challenging problem due to the simultaneous presence of constraints and different time scales. This combination leads, as analyzed in the foregoing chapter, to a stiff differential-algebraic system. We investigate here the behavior of numerical
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In flexible multibody dynamics, the time integration of the semi-discretized equations of motion represents a challenging problem due to the simultaneous presence of constraints and different time scales. This combination leads, as analyzed in the foregoing chapter, to a stiff differential-algebraic system. We investigate here the behavior of numerical
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1990
Earlier in Chapter 3 we touched on random trends and described two aggregation schemes to decompose series into trends and other, weakly stationary, components. Series with random walk components are called integrated (of order one) because they are the sums (integrals) of weakly-stationary components.
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Earlier in Chapter 3 we touched on random trends and described two aggregation schemes to decompose series into trends and other, weakly stationary, components. Series with random walk components are called integrated (of order one) because they are the sums (integrals) of weakly-stationary components.
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2013
This chapter focuses on time integration schemes, including fourth-order accurate Runge–Kutta and predictor-corrector schemes as well as schemes that allow larger time steps (and therefore fewer steps for a given amount of simulated time) by treating the linear diffusion terms implicitly.
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This chapter focuses on time integration schemes, including fourth-order accurate Runge–Kutta and predictor-corrector schemes as well as schemes that allow larger time steps (and therefore fewer steps for a given amount of simulated time) by treating the linear diffusion terms implicitly.
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1986
It is basically incorrect to consider only the time-dependent character of a partial differential equation, since the space differencing and time differencing are closely related for stability. However, when low-order spectral studies are integrated, the space dependence of the dependent variables has been explicitly chosen a priori, and only a set of ...
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It is basically incorrect to consider only the time-dependent character of a partial differential equation, since the space differencing and time differencing are closely related for stability. However, when low-order spectral studies are integrated, the space dependence of the dependent variables has been explicitly chosen a priori, and only a set of ...
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