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You searched for subject:(Constraint Sampling). Showing records 1 – 3 of 3 total matches.

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1. ZHENG HUAN. Sparse flexibility structures: Design and application.

Degree: 2007, National University of Singapore

Subjects/Keywords: Process Flexibility; Graph Expansion; Constraint Sampling

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APA (6th Edition):

HUAN, Z. (2007). Sparse flexibility structures: Design and application. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/16433

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

HUAN, ZHENG. “Sparse flexibility structures: Design and application.” 2007. Thesis, National University of Singapore. Accessed December 11, 2019. http://scholarbank.nus.edu.sg/handle/10635/16433.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

HUAN, ZHENG. “Sparse flexibility structures: Design and application.” 2007. Web. 11 Dec 2019.

Vancouver:

HUAN Z. Sparse flexibility structures: Design and application. [Internet] [Thesis]. National University of Singapore; 2007. [cited 2019 Dec 11]. Available from: http://scholarbank.nus.edu.sg/handle/10635/16433.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

HUAN Z. Sparse flexibility structures: Design and application. [Thesis]. National University of Singapore; 2007. Available from: http://scholarbank.nus.edu.sg/handle/10635/16433

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rice University

2. Prabhu, Sailesh Naveena. A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning.

Degree: MS, Engineering, 2014, Rice University

This thesis tackles the Integrated Task and Motion Planning (ITMP) Problem. The ITMP problem extends classical task planning with actions that require a motion plan. The agent seeks a sequence of actions and the necessary motions to achieve the goal. The user partially specifies the task plan by providing the actions' known parameters. An SMT solver, then, discovers values for the unkown parameters that satisfies constraints requiring the task plan to achieve the goal. The SMT solver utilizes an annotated Probabilistic Roadmap (PRM) to query for motion planning information. A sampling algorithm generates the PRM's vertices to permit a mobile manipulator to grasp numerous object configurations. Each iteration samples several base configurations and adds a base configuration to the PRM that increases the object configurations grasped from its vertices. Our results indicate that increasing the samples per iteration improves the probability the SMT solver discovers a satisfying assignment without adversely affecting the resulting task plan. Advisors/Committee Members: Chaudhuri, Swarat (advisor), Kavraki, Lydia E (committee member), McLurkin, James (committee member), Vardi, Moshe V (committee member).

Subjects/Keywords: Integrated Task and Motion Planning; planning from high-level specification; synthesis; constraint-based; sampling-based

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APA (6th Edition):

Prabhu, S. N. (2014). A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/88438

Chicago Manual of Style (16th Edition):

Prabhu, Sailesh Naveena. “A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning.” 2014. Masters Thesis, Rice University. Accessed December 11, 2019. http://hdl.handle.net/1911/88438.

MLA Handbook (7th Edition):

Prabhu, Sailesh Naveena. “A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning.” 2014. Web. 11 Dec 2019.

Vancouver:

Prabhu SN. A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning. [Internet] [Masters thesis]. Rice University; 2014. [cited 2019 Dec 11]. Available from: http://hdl.handle.net/1911/88438.

Council of Science Editors:

Prabhu SN. A Constraint and Sampling-Based Approach to Integrated Task and Motion Planning. [Masters Thesis]. Rice University; 2014. Available from: http://hdl.handle.net/1911/88438


Université Paris-Sud – Paris XI

3. Duigou, Thomas. Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories.

Degree: Docteur es, Sciences agronomiques, biotechnologies agro-alimentaires, 2015, Université Paris-Sud – Paris XI

À l’issue de ce travail de thèse, je propose une approche basée sur le formalisme des modèles à base de contraintes, pour étudier la dynamique d’un système métabolique. En associant l’échantillonnage de l’espace des solutions avec l’utilisation d’une contrainte de « faisabilité » entre les périodes de temps considérées, cette approche permet de modéliser la dynamique d’un système métabolique en prenant en compte la variabilité des mesures expérimentales. La contrainte de faisabilité entre les périodes permet de garantir que chaque « trajectoire solution » correspond à une succession de cartes de flux qui conduit à des cinétiques de concentrations cohérentes avec les mesures expérimentales. Les populations de trajectoires solutions générées autorisent différents types d’analyses. D’une part, les répartitions de flux prédites peuvent être utilisées afin d’estimer les répartitions de flux les plus plausibles au sein du réseau étudié. D’autre part, la distribution des concentrations prédites permet d’évaluer le modèle utilisé pour étudier le réseau métabolique. Le fait que cette approche soit basée sur le formalisme de la modélisation à base de contraintes permet, moyennant l’utilisation de l’hypothèse d’état stationnaire du système, d’étudier des réseaux métaboliques de taille relativement grande, et d’utiliser des données expérimentales qui sont aisément mesurables, par exemple les concentrations en biomasse et en métabolites extracellulaires. Cette approche par « trajectoires solutions » a été utilisée afin d’étudier la dynamique du métabolisme de Corynebacterium glutamicum, lorsqu’elle est cultivée en condition de limitation en biotine. Les résultats obtenus ont permis d’une part d’attester du fonctionnement de la méthode, et d’autre part de proposer plusieurs hypothèses quant aux phénomènes biologiques qui ont lieu pendant cette condition particulière de croissance.

In this thesis, I propose an approach based on the formalism of constraint-based models to study the dynamics of a metabolic system. By combining the sampling of the solutions space and the use of a "feasibility" constraint between the considered time periods, this approach allows to model the dynamic of a metabolic system taking into account the variability of experimental measurements. The feasibility constraint between time periods ensures that each "solution trajectory" corresponds to a succession of flux maps which leads to some kinetics of concentrations that are consistent with the experimental measurements. The generation of a population of solution trajectories allows several analyses. On the one hand, the predicted flux maps can be used to estimate the most plausible flux within the network studied. On the other hand, the distribution of predicted concentrations enables to assess the model used for studying the metabolic network. The fact that this approach is based on the formalism of constraint-based modeling allows, using the steady-state assumption of the system, to study metabolic networks of relatively large size, and to use…

Advisors/Committee Members: Guyonvarch, Armel (thesis director).

Subjects/Keywords: Biologie des systèmes; Modélisation; Réseau métabolique; Dynamique; Modèle à base de contraintes; Système sous-déterminé; Échantillonnage par Monte Carlo; Corynebacterium glutamicum; Systems biology; Modeling; Metabolic network; Dynamic; Constraint-based model; , under-determined system; Monte Carlo sampling; Corynebacterium glutamicum

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Duigou, T. (2015). Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA112061

Chicago Manual of Style (16th Edition):

Duigou, Thomas. “Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed December 11, 2019. http://www.theses.fr/2015PA112061.

MLA Handbook (7th Edition):

Duigou, Thomas. “Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories.” 2015. Web. 11 Dec 2019.

Vancouver:

Duigou T. Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2019 Dec 11]. Available from: http://www.theses.fr/2015PA112061.

Council of Science Editors:

Duigou T. Dynamique d'un réseau métabolique avec un modèle à base de contraintes : approche par échantillonnage des trajectoires solutions : Dynamic of metabolic network with constraint-based model : an approach by sampling of solution trajectories. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA112061

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