Relevant bibliographies by topics / Continuous parameter space

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Continuous parameter space'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Continuous parameter space"

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Ding, Wei, Guozhen Lu, and Yueping Zhu. "Discrete Littlewood–Paley–Stein characterization of multi-parameter local Hardy spaces." Forum Mathematicum 31, no. 6 (2019): 1467–88. http://dx.doi.org/10.1515/forum-2019-0038.

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AbstractIn our recent work [W. Ding, G. Lu and Y. Zhu, Multi-parameter local Hardy spaces, Nonlinear Anal. 184 2019, 352–380], the multi-parameter local Hardy space {h^{p}(\mathbb{R}^{n_{1}}\times\mathbb{R}^{n_{2}})} has been introduced by using the continuous inhomogeneous Littlewood–Paley–Stein square functions. In this paper, we will first establish the new discrete multi-parameter local Calderón’s identity. Based on this identity, we will define the local multi-parameter Hardy space {h_{\mathrm{dis}}^{p}(\mathbb{R}^{n_{1}}\times\mathbb{R}^{n_{2}})} by using the discrete inhomogeneous Littl
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Kalpazidou, Sophia. "Continuous parameter circuit processes with finite state space." Stochastic Processes and their Applications 39, no. 2 (1991): 301–23. http://dx.doi.org/10.1016/0304-4149(91)90085-q.

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Beer, Randall D. "Parameter Space Structure of Continuous-Time Recurrent Neural Networks." Neural Computation 18, no. 12 (2006): 3009–51. http://dx.doi.org/10.1162/neco.2006.18.12.3009.

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A fundamental challenge for any general theory of neural circuits is how to characterize the structure of the space of all possible circuits over a given model neuron. As a first step in this direction, this letter begins a systematic study of the global parameter space structure of continuous-time recurrent neural networks (CTRNNs), a class of neural models that is simple but dynamically universal. First, we explicitly compute the local bifurcation manifolds of CTRNNs. We then visualize the structure of these manifolds in net input space for small circuits. These visualizations reveal a set o
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Goos, Jan, and Rik Pintelon. "Continuous-time identification of periodically parameter-varying state space models." Automatica 71 (September 2016): 254–63. http://dx.doi.org/10.1016/j.automatica.2016.04.013.

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Cai, Guangbin, Changhua Hu, Baojuan Yin, Huafeng He та Xiaojun Han. "Gain-Scheduledℋ2Controller Synthesis for Continuous-Time Polytopic LPV Systems". Mathematical Problems in Engineering 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/972624.

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This paper is concerned with the problem of gain-scheduledℋ2controller synthesis for continuous-time linear parameter-varying systems. In this problem, the system matrices in the state-space form are polytopic and patameterized and the admissible values of the parameters are assumed to be measurable on-line in a polytope space. By employing a basis-parameter-dependent Lyapunov function and introducing some slack variables to the well-established performance conditions, sufficient conditions for the existence of the desired gain-scheduledℋ2state feedback and dynamic output feedback controllers
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Arutyunov, A. V., and S. E. Zhukovskiy. "On Global Solvability of Nonlinear Equations with Parameters." Doklady Mathematics 103, no. 1 (2021): 57–60. http://dx.doi.org/10.1134/s1064562421010014.

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Abstract We consider smooth mappings acting from one Banach space to another and depending on a parameter belonging to a topological space. Under various regularity assumptions, sufficient conditions for the existence of global and semilocal continuous inverse and implicit functions are obtained. We consider applications of these results to the problem of continuous extension of implicit functions and to the problem of coincidence points of smooth and continuous compact mappings.
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Liu, Chang, and Duane A. McVay. "Continuous Reservoir-Simulation-Model Updating and Forecasting Improves Uncertainty Quantification." SPE Reservoir Evaluation & Engineering 13, no. 04 (2010): 626–37. http://dx.doi.org/10.2118/119197-pa.

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Summary Most reservoir-simulation studies are conducted in a static context—at a single point in time using a fixed set of historical data for history matching. Time and budget constraints usually result in significant reduction in the number of uncertain parameters and incomplete exploration of the parameter space, which results in underestimation of forecast uncertainty and less-than-optimal decision making. Markov Chain Monte Carlo (MCMC) methods have been used in static studies for rigorous exploration of the parameter space for quantification of forecast uncertainty, but these methods suf
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Prix, Reinhard, and Yousuke Itoh. "Global parameter-space correlations of coherent searches for continuous gravitational waves." Classical and Quantum Gravity 22, no. 18 (2005): S1003—S1012. http://dx.doi.org/10.1088/0264-9381/22/18/s14.

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Whelan, John T., Reinhard Prix, Curt J. Cutler, and Joshua L. Willis. "New coordinates for the amplitude parameter space of continuous gravitational waves." Classical and Quantum Gravity 31, no. 6 (2014): 065002. http://dx.doi.org/10.1088/0264-9381/31/6/065002.

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Sayat, Mikhael T., Oliver Thearle, Biveen Shajilal, et al. "Mapping Guaranteed Positive Secret Key Rates for Continuous Variable Quantum Key Distribution." Entropy 26, no. 10 (2024): 865. http://dx.doi.org/10.3390/e26100865.

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The standard way to measure the performance of existing continuous variable quantum key distribution (CVQKD) protocols is by using the achievable secret key rate (SKR) with respect to one parameter while keeping all other parameters constant. However, this atomistic method requires many individual parameter analyses while overlooking the co-dependence of other parameters. In this work, a numerical tool is developed for comparing different CVQKD protocols while taking into account the simultaneous effects of multiple CVQKD parameters on the capability of protocols to produce positive SKRs. Usin
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Dissertations / Theses on the topic "Continuous parameter space"

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Monteiro, Giselle Antunes. "Generalized linear differential equations in a Banach space: continuous dependence on parameters and applications." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55135/tde-30032012-105214/.

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The purpose of this work is to investigate continuous dependence on parameters for generalized linear differential equations in a Banach space- valued setting. More precisely, we establish a theorem inspired by the clas- sical continuous dependence result due to Z. Opial. In addition, our second outcome extends, to Banach spaces, the result proved by M. Ashordia in the framework of finite dimensional generalized linear differential equations. Roughly speaking, the continuous dependence derives from assumptions of uniform convergence of the functions in the right-hand side of the equations, tog
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Samardzija-Grek, Tatjana. "Propositions relatives narratives en Français." Paris 3, 2008. http://www.theses.fr/2008PA030047.

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La thèse propose l’analyse morphosyntaxique et textuelle des propositions relatives dites « narratives » dans le cadre de la sémantique du prototype. Est définie comme narrative une proposition relative qui, postposée au prédicat d’accueil, a pour but d’exprimer, au premier plan, le procès VR, causé par le procès de la proposition d’accueil (VA) moyennant la participation de l’entité ANT+REL. La proposition relative narrative forme, avec sa proposition d’accueil, une séquence relative narrative. L’interprétation narrative prototypique d’une relative est la résultante des valeurs-paramètres opp
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ARRIGHETTI, Walter. "Mathematical models and methods for Electromagnetism on fractal geometries." Doctoral thesis, 2007. http://hdl.handle.net/11573/1656600.

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This work summarizes the research path done by Walter Arrighetti during his three years of Doctorate of Research in Electromagnetism at Università degli Studi di Roma “La Sapienza,” Rome, under the guidance of Professor Giorgio Gerosa. This work was mainly motivated by the struggle to find simpler and simpler models to introduce complex geometries (like fractal ones, for example, which are complicated but far from being ‘irregular’) in physical field theories like the Classical Electrodynamics, and which stand at the base of most contemporary applied research activities: from antennas (of any si
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Books on the topic "Continuous parameter space"

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Volskis, Ričardas. Relativity of parameters of genetically secluded space-time continuum of species. Institute of Ecology, 1998.

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B, Marks Virginia, Keckler Claude R, and Langley Research Center, eds. NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems: Proceedings of a workshop sponsored by tne National Aeronautics and Space Administration, Washington, D.C. and held in Williamsburg, Virginia, June 8-10, 1992. National Aeronautics and Space Administration, Langley Research Center, 1994.

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NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems (1992 Williamsburg, Va.). NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems: Proceedings of a workshop sponsored by the National Aeronautics and Space Administration, Washington, D.C. and held in Williamsburg, Virginia, June 8-10, 1992. National Aeronautics and Space Administration, Langley Research Center, 1994.

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Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

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The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the to
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Mathematics of probability. American Mathematical Society, 2013.

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Book chapters on the topic "Continuous parameter space"

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Cole, Diana J. "Identifiability in Continuous State-Space Models." In Parameter Redundancy and Identifiability. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315120003-7.

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Csenki, Attila. "Sojourn Times for Continuous-Parameter Markov Chains." In Dependability for Systems with a Partitioned State Space. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2674-1_4.

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Kalpazidou, Sophia L. "Continuous Parameter Circuit Processes with Finite State Space." In Stochastic Modeling and Applied Probability. Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4757-3929-9_5.

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Zhen, Yicun, Bertrand Chapron, and Etienne Mémin. "Bridging Koopman Operator and Time-Series Auto-Correlation Based Hilbert–Schmidt Operator." In Mathematics of Planet Earth. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18988-3_19.

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AbstractGiven a stationary continuous-time process f(t), the Hilbert–Schmidt operator Aτ can be defined for every finite τ. Let λτ,i be the eigenvalues of Aτ with descending order. In this article, a Hilbert space $$\mathcal {H}_f$$ ℋ f and the (time-shift) continuous one-parameter semigroup of isometries $$\mathcal {K}^s$$ K s are defined. Let $$\{v_i, i\in \mathbb {N}\}$$ { v i , i ∈ ℕ } be the eigenvectors of $$\mathcal {K}^s$$ K s for all s ≥ 0. Let $$f = \displaystyle \sum _{i=1}^{\infty }a_iv_i + f^{\perp }$$ f = ∑ i = 1 ∞ a i v i + f ⊥ be the orthogonal decomposition with descending |ai
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Mangannavar, Rajesh, and Gopalakrishnan Srinivasaraghavan. "Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space." In Advances in Neural Networks – ISNN 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22796-8_22.

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Wickramasuriya, Dilranjan S., and Rose T. Faghih. "State-Space Model with One Binary, Two Continuous, and a Spiking-Type Observation." In Bayesian Filter Design for Computational Medicine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-47104-9_6.

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AbstractSpiking-type observations are occasionally recorded in experiments. For instance, neural spiking activity may be recorded from a macaque monkey engaged in a learning experiment or an EKG signal may be recorded from a human subject in an experiment. In such instances, we can model the spiking-type variable using a conditional intensity function (CIF). The CIF is similar to the rate parameter in a Poisson distribution but is more general. With spiking-type observations, we usually assume that our state variable $$x_{k}$$ x k affects the rate of spiking through the CIF.
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Csenki, Attila. "The Number of Visits to a Subset of the State Space by a Continuous-Parameter Irreducible Markov Chain During a Finite Time Interval." In Dependability for Systems with a Partitioned State Space. Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2674-1_5.

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Novicky, Filip, Joshua Offergeld, Simon Janssen, and Pablo Lanillos. "Robotic Active Tactile Sensing Inspired by Serotonergic Modulation Using Active Inference." In Biomimetic and Biohybrid Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38857-6_3.

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AbstractWhen faced with uncertainty in the world, biological agents actively sense the environment to acquire the most informative input to fulfil their tasks. Actions are performed to adjust bodily sensors to maximize the collected information, which is usually known as active sensing. For instance, rodents continuously adjust the speed and amplitude of whisking to better identify objects and body location in space, which ultimately regulates navigation. Whilst, the internal mechanism that drives active sensing in humans is still under research, recent evidence points towards neuromodulators,
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Porter, Michael B., Laurel J. Henderson, Dorian Houser, and Christine Erbe. "Fundamentals of Ocean Acoustics." In Marine Mammal Acoustics in a Noisy Ocean. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77022-7_1.

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Abstract The propagation of sound in the ocean involves many complicated effects. At a basic level, the sound reflects off the ocean surface and ocean bottom, producing a sort of barber-shop mirror effect that leads to multiple images of the sound source. The strength of these echoes depends on the quality of the surface and bottom reflectors. A rough sea is more like a broken mirror that scatters sound energy; a soft silty bottom is a weak reflector that may be compared to a dark mirror. However, it gets still more complicated. The ocean sound speed depends on temperature, salinity, and depth
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Bergamasco, M., and M. Lovera. "Subspace identification of continuous-time state-space LPV models." In Linear Parameter-Varying System Identification. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814355452_0008.

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Conference papers on the topic "Continuous parameter space"

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Raghav, Vrishank, Alexander Forbes, Sorin Pirau, Brandon Liberi, and Narayanan Komerath. "Testing-Based Approach to Determining the Divergence Speed of Slung Loads." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9671.

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An approach is presented, to the long-term problem of certifying the safe limits for helicopter operations with slung loads of arbitrary geometry. Recent work showed that at least two combinations of roll and yaw oscillations would amplify in free flight without rotor wake swirl. The acquisition of detailed airload maps for arbitrary shapes, with sufficient resolution in attitude, became the primary aeromechanical obstacle to predicting divergence speed. The conventional approach is to use wind tunnel testing at a few sample conditions and computational predictions to fill in the detailed para
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Ramkumar, Barathram, Marco P. Schoen, Feng Lin, and Brian G. Williams. "Hybrid Optimization Algorithm Using Enhanced Continuous Tabu Search and Genetic Algorithm for Parameter Estimation." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13374.

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A new algorithm using Enhanced Continuous Tabu Search (ECTS) and genetic algorithm (GA) is proposed for parameter estimation problems. The proposed algorithm combines the respective strengths of ECTS and GA. The ECTS is a modified Tabu Search (TS), which has good search capabilities for large search spaces. In this work, the ECTS is used to define smaller search spaces, which are used in a second stage by a GA to find the respective local minima. The ECTS covers the global search space by using a TS concept called diversification and then selects the most promising regions in the search space.
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GUan, Cheng, Rui Chen, Hao Zhang, and Sheng Wang. "Parameter estimation for free-space continuous variable quantum key distribution based on PointNet." In Workshop on Electronics Communication Engineering (WECE 2023), edited by Weilin Xu. SPIE, 2024. http://dx.doi.org/10.1117/12.3015359.

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Karpouzis, Kostas, Nicolas Tsapatsoulis, and Stefanos D. Kollias. "Moving to continuous facial expression space using the MPEG-4 facial definition parameter (FDP) set." In Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2000. http://dx.doi.org/10.1117/12.387182.

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Shu, Tianye, Ke Shang, Cheng Gong, Yang Nan, and Hisao Ishibuchi. "Learning Pareto Set for Multi-Objective Continuous Robot Control." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/544.

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For a control problem with multiple conflicting objectives, there exists a set of Pareto-optimal policies called the Pareto set instead of a single optimal policy. When a multi-objective control problem is continuous and complex, traditional multi-objective reinforcement learning (MORL) algorithms search for many Pareto-optimal deep policies to approximate the Pareto set, which is quite resource-consuming. In this paper, we propose a simple and resource-efficient MORL algorithm that learns a continuous representation of the Pareto set in a high-dimensional policy parameter space using a single
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Briones, Alejandro M., Markus P. Rumpfkeil, Nathan R. Thomas, and Brent A. Rankin. "Effect of Deterministic and Continuous Design Space Resolution on Multiple-Objective Combustor Optimization." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91388.

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Abstract A supervised machine learning technique namely an Adaptive Multiple Objective (AMO) optimization algorithm is used to divide a continuous and deterministic design space into non-dominated Pareto frontier and dominated design points. The effect of the initial training data quantity, i.e., computational fluid dynamics (CFD) results, on the Pareto frontier and output parameter sensitivity is explored. The optimization study is performed on a subsonic small-scale cavity-stabilized combustor. A parametric geometry is created using CAD that is coupled with a meshing software. The latter aut
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Ogot, Madara, and Sherif Aly. "Discretizing Continuous Problems for Faster Global Convergence." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dac-48798.

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Global optimization of mechanical design problems using heuristic methods such as Simulated annealing (SA) and genetic algorithms (GAs) have been able to find global or near-global minima where prior methods have failed. The use of these nongradient based methods allow the broad efficient exploration of multimodal design spaces that could be continuous, discrete or mixed. From a survey of articles in the ASME Journal of Mechanical Design over the last 10 years, we have observed that researchers will typically run these algorithms in continuous mode for problems that contain continuous design v
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Aspis, Yaniv, Krysia Broda, Alessandra Russo, and Jorge Lobo. "Stable and Supported Semantics in Continuous Vector Spaces." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/7.

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We introduce a novel approach for the computation of stable and supported models of normal logic programs in continuous vector spaces by a gradient-based search method. Specifically, the application of the immediate consequence operator of a program reduct can be computed in a vector space. To do this, Herbrand interpretations of a propositional program are embedded as 0-1 vectors in $\mathbb{R}^N$ and program reducts are represented as matrices in $\mathbb{R}^{N \times N}$. Using these representations we prove that the underlying semantics of a normal logic program is captured through matrix
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Johnson, C. D. "Some New Continuous-Time Parameter Estimators with Application to the Adaptive Control of a Space Launch Vehicle." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791948.

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Sivrioglu, Selim, and Kenzo Nonami. "Gain-Scheduled Hyperplane Design for Sliding Mode Control via LMI." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-3940.

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Abstract This study is concerned with design of a sliding mode hyper-plane for a class of linear parameter-varying (LPV) plants whose state-space matrices are affine function of time-varying physical parameters. The proposed hyperplane involving linear matrix in-equality (LMI) approach has continuous dynamics due to scheduling parameters and provide stability and robustness against parametric uncertainties. We have designed gain-scheduled sliding mode hyperplane for a rotor-magnetic bearing system with gyroscopic effect which can be considered LPV plant due to parameter dependence to rotationa
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Reports on the topic "Continuous parameter space"

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Snyder, Victor A., Dani Or, Amos Hadas, and S. Assouline. Characterization of Post-Tillage Soil Fragmentation and Rejoining Affecting Soil Pore Space Evolution and Transport Properties. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580670.bard.

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Tillage modifies soil structure, altering conditions for plant growth and transport processes through the soil. However, the resulting loose structure is unstable and susceptible to collapse due to aggregate fragmentation during wetting and drying cycles, and coalescense of moist aggregates by internal capillary forces and external compactive stresses. Presently, limited understanding of these complex processes often leads to consideration of the soil plow layer as a static porous medium. With the purpose of filling some of this knowledge gap, the objectives of this Project were to: 1) Identif
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