2006, ISBN 9780387329659, xii, 318
Presents new methods and applications.
Critical point theory (Mathematical analysis) | Mathematics | Global Analysis and Analysis on Manifolds | Ordinary Differential Equations | Functional Analysis | Partial Differential Equations
Critical point theory (Mathematical analysis) | Mathematics | Global Analysis and Analysis on Manifolds | Ordinary Differential Equations | Functional Analysis | Partial Differential Equations
Book
Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, 05/2014, Volume 273, pp. 100 - 118
Phase-field models based on the variational formulation for brittle fracture have recently been gaining popularity. These models have proven capable of...
Isogeometric analysis | Phase-field | Fracture | Higher-order models | APPROXIMATION | CAD | NUMERICAL EXPERIMENTS | NURBS | REFINEMENT | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | VARIATIONAL APPROACH | ENGINEERING, MULTIDISCIPLINARY | CRACK-GROWTH | DYNAMIC FRACTURE | FINITE-ELEMENT-METHOD | Fracture mechanics | Mathematical analysis | Brittle fracture | Mathematical models | Robustness | Regularity | Three dimensional | Convergence
Isogeometric analysis | Phase-field | Fracture | Higher-order models | APPROXIMATION | CAD | NUMERICAL EXPERIMENTS | NURBS | REFINEMENT | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | MECHANICS | VARIATIONAL APPROACH | ENGINEERING, MULTIDISCIPLINARY | CRACK-GROWTH | DYNAMIC FRACTURE | FINITE-ELEMENT-METHOD | Fracture mechanics | Mathematical analysis | Brittle fracture | Mathematical models | Robustness | Regularity | Three dimensional | Convergence
Journal Article
Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, 10/2005, Volume 131, Issue 612, pp. 2961 - 3012
ERA‐40 is a re‐analysis of meteorological observations from September 1957 to August 2002 produced by the European Centre for Medium‐Range Weather Forecasts...
Numerical weather prediction | Observing system | Data assimilation | SIGNIFICANT WAVE HEIGHT | 4-DIMENSIONAL VARIATIONAL ASSIMILATION | SOUTHERN-HEMISPHERE | MODEL | ECMWF OPERATIONAL IMPLEMENTATION | observing system | SCHEME | IMPACT | numerical weather prediction | OCEAN WIND | WATER-VAPOR | data assimilation | METEOROLOGY & ATMOSPHERIC SCIENCES | CLIMATE
Numerical weather prediction | Observing system | Data assimilation | SIGNIFICANT WAVE HEIGHT | 4-DIMENSIONAL VARIATIONAL ASSIMILATION | SOUTHERN-HEMISPHERE | MODEL | ECMWF OPERATIONAL IMPLEMENTATION | observing system | SCHEME | IMPACT | numerical weather prediction | OCEAN WIND | WATER-VAPOR | data assimilation | METEOROLOGY & ATMOSPHERIC SCIENCES | CLIMATE
Journal Article
Journal of Climate, ISSN 0894-8755, 07/2011, Volume 24, Issue 14, pp. 3624 - 3648
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA's Global Modeling and Assimilation Office with two primary...
REANALYSIS PROJECT | PART I | GENERAL-CIRCULATION | DATA ASSIMILATION SYSTEM | TROPICAL STRATOSPHERE | TIME-SERIES | VARIATIONAL STATISTICAL-ANALYSIS | RAWINSONDE DATA | METEOROLOGY & ATMOSPHERIC SCIENCES | RECURSIVE FILTERS | NUMERICAL ASPECTS | Studies | Hydrologic cycle | Satellites | General circulation models | Atmospheric boundary layer | Stratosphere | Research | Remote sensing systems | Data mining | Meteorology
REANALYSIS PROJECT | PART I | GENERAL-CIRCULATION | DATA ASSIMILATION SYSTEM | TROPICAL STRATOSPHERE | TIME-SERIES | VARIATIONAL STATISTICAL-ANALYSIS | RAWINSONDE DATA | METEOROLOGY & ATMOSPHERIC SCIENCES | RECURSIVE FILTERS | NUMERICAL ASPECTS | Studies | Hydrologic cycle | Satellites | General circulation models | Atmospheric boundary layer | Stratosphere | Research | Remote sensing systems | Data mining | Meteorology
Journal Article
1973, Pure and applied mathematics, 260
Book
Journal of Machine Learning Research, ISSN 1532-4435, 04/2013, Volume 14, Issue 1, pp. 965 - 1003
Canonical correlation analysis (CCA) is a classical method for seeking correlations between two multivariate data sets. During the last ten years, it has...
Inter-battery factor analysis | Variational Bayesian approximation | Bayesian modeling | Canonical correlation analysis | Group-wise sparsity | MODELS | canonical correlation analysis | group-wise sparsity | variational Bayesian approximation | inter-battery factor analysis | DEPENDENCIES | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Inter-battery factor analysis | Variational Bayesian approximation | Bayesian modeling | Canonical correlation analysis | Group-wise sparsity | MODELS | canonical correlation analysis | group-wise sparsity | variational Bayesian approximation | inter-battery factor analysis | DEPENDENCIES | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
Computers and Fluids, ISSN 0045-7930, 01/2017, Volume 142, pp. 15 - 20
We focus on turbocharger computational flow analysis with a method that possesses higher accuracy in spatial and temporal representations. In the method we...
ST Slip Interface method | IGA | Turbocharger | ST-VMS | Turbine | Space–Time Variational Multiscale method | ST-SI | Isogeometric Analysis | Higher-order functions | FLAPPING-WING AERODYNAMICS | COMPRESSIBLE FLOWS | INVISCID SUPERSONIC FLOWS | ST Slip Interface method ST-SI | FLUID-STRUCTURE INTERACTION | FINITE-ELEMENT COMPUTATION | PETROV-GALERKIN FORMULATIONS | Space-Time Variational Multiscale method ST-VMS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MECHANICS | Isogeometric Analysis IGA | LARGE-EDDY SIMULATION | INCOMPRESSIBLE FLOWS | V-SGS STABILIZATION | VARIATIONAL MULTISCALE METHOD | Mechanical engineering | Analysis | Turbines | Boundary layer
ST Slip Interface method | IGA | Turbocharger | ST-VMS | Turbine | Space–Time Variational Multiscale method | ST-SI | Isogeometric Analysis | Higher-order functions | FLAPPING-WING AERODYNAMICS | COMPRESSIBLE FLOWS | INVISCID SUPERSONIC FLOWS | ST Slip Interface method ST-SI | FLUID-STRUCTURE INTERACTION | FINITE-ELEMENT COMPUTATION | PETROV-GALERKIN FORMULATIONS | Space-Time Variational Multiscale method ST-VMS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MECHANICS | Isogeometric Analysis IGA | LARGE-EDDY SIMULATION | INCOMPRESSIBLE FLOWS | V-SGS STABILIZATION | VARIATIONAL MULTISCALE METHOD | Mechanical engineering | Analysis | Turbines | Boundary layer
Journal Article
2014, Volume 630.
Conference Proceeding
2007, Birkhäuser advanced texts, ISBN 3764381469, xii, 568
Book
2002, Memoirs of the American Mathematical Society, ISBN 9780821829899, Volume no. 761., viii, 98
Book
Ocean Modelling, ISSN 1463-5003, 08/2012, Volume 52-53, pp. 90 - 101
► The covariance function in DIVA is influenced by the physical boundaries (coastline, bottom) and by dynamics (current, diffusion). ► The analysis performed...
Spatial interpolation | Variational analysis | Optimal Interpolation | Mediterranean Sea | Inverse method | Optimal interpolation | Mediterranean sea | CIRCULATION | MODEL | OBJECTIVE ANALYSIS | SMOOTHING NOISY DATA | OCEANOGRAPHY | SPLINE | METEOROLOGY & ATMOSPHERIC SCIENCES | WATER | Analysis | Singers | Executions and executioners | Errors | Interpolation | Error analysis | Covariance | Mathematical analysis | Cost function | Mathematical models | Optimization
Spatial interpolation | Variational analysis | Optimal Interpolation | Mediterranean Sea | Inverse method | Optimal interpolation | Mediterranean sea | CIRCULATION | MODEL | OBJECTIVE ANALYSIS | SMOOTHING NOISY DATA | OCEANOGRAPHY | SPLINE | METEOROLOGY & ATMOSPHERIC SCIENCES | WATER | Analysis | Singers | Executions and executioners | Errors | Interpolation | Error analysis | Covariance | Mathematical analysis | Cost function | Mathematical models | Optimization
Journal Article
NeuroImage, ISSN 1053-8119, 11/2019, Volume 201, p. 115986
This technical note describes a variational or Bayesian implementation of representational similarity analysis (RSA) and pattern component modelling (PCM). It...
Representational similarity analysis | RSA | Variational | Multivariate | Pattern component modelling | Bayesian | ALGORITHM | SPARSE | INFERENCE | NEUROSCIENCES | NEUROIMAGING | CONNECTIVITY | CORTEX | FREE-ENERGY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FMRI | Hypothesis testing | Neuroimaging | Hypotheses | Medical imaging | Brain mapping | Software | Multivariate analysis | Bayesian analysis
Representational similarity analysis | RSA | Variational | Multivariate | Pattern component modelling | Bayesian | ALGORITHM | SPARSE | INFERENCE | NEUROSCIENCES | NEUROIMAGING | CONNECTIVITY | CORTEX | FREE-ENERGY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FMRI | Hypothesis testing | Neuroimaging | Hypotheses | Medical imaging | Brain mapping | Software | Multivariate analysis | Bayesian analysis
Journal Article
Computers and Fluids, ISSN 0045-7930, 12/2016, Volume 141, pp. 191 - 200
We present a method for structural and fluid mechanics computations of ram-air parachutes. A ram-air parachute is a parafoil inflated by the airflow through...
ST-IGA | ST Slip Interface method | Parafoil | ST-VMS | NURBS meshes | Space–Time Variational Multiscale method | ST-SI | Porosity | ST Isogeometric Analysis | Ram-air parachute | FLAPPING-WING AERODYNAMICS | COMPRESSIBLE FLOWS | INVISCID SUPERSONIC FLOWS | MOVING BOUNDARIES | FINITE-ELEMENT COMPUTATION | PETROV-GALERKIN FORMULATIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MECHANICS | LARGE-EDDY SIMULATION | INCOMPRESSIBLE FLOWS | V-SGS STABILIZATION | VARIATIONAL MULTISCALE METHOD | Space Time Variational Multiscale method | Mechanical engineering | Analysis
ST-IGA | ST Slip Interface method | Parafoil | ST-VMS | NURBS meshes | Space–Time Variational Multiscale method | ST-SI | Porosity | ST Isogeometric Analysis | Ram-air parachute | FLAPPING-WING AERODYNAMICS | COMPRESSIBLE FLOWS | INVISCID SUPERSONIC FLOWS | MOVING BOUNDARIES | FINITE-ELEMENT COMPUTATION | PETROV-GALERKIN FORMULATIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MECHANICS | LARGE-EDDY SIMULATION | INCOMPRESSIBLE FLOWS | V-SGS STABILIZATION | VARIATIONAL MULTISCALE METHOD | Space Time Variational Multiscale method | Mechanical engineering | Analysis
Journal Article
Monthly Weather Review, ISSN 0027-0644, 04/2011, Volume 139, Issue 4, pp. 1224 - 1240
As new observation systems are developed and deployed, new and presumably more precise information is becoming available for weather forecasting and climate...
Kalman filters | Variational analysis | Ensembles | COVARIANCES | ENSEMBLE KALMAN FILTER | DATA ASSIMILATION | METEOROLOGY & ATMOSPHERIC SCIENCES | ERROR STATISTICS | STATISTICAL-ANALYSIS | RECURSIVE FILTERS | NUMERICAL ASPECTS | PREDICTION | Studies | Fourier analysis | Advantages | Meteorology | Data assimilation
Kalman filters | Variational analysis | Ensembles | COVARIANCES | ENSEMBLE KALMAN FILTER | DATA ASSIMILATION | METEOROLOGY & ATMOSPHERIC SCIENCES | ERROR STATISTICS | STATISTICAL-ANALYSIS | RECURSIVE FILTERS | NUMERICAL ASPECTS | PREDICTION | Studies | Fourier analysis | Advantages | Meteorology | Data assimilation
Journal Article
ESAIM: Control, Optimisation and Calculus of Variations, ISSN 1292-8119, 4/2011, Volume 17, Issue 2, pp. 322 - 352
The optimal control of a mechanical system is of crucial importance in many application areas. Typical examples are the determination of a time-minimal path in...
Discrete variational principle | Optimal control | Discrete mechanics | Convergence | MATHEMATICS, APPLIED | discrete mechanics | discrete variational principle | convergence | VARIATIONAL INTEGRATORS | BOUNDARY-VALUE PROBLEMS | EULER-POINCARE | EQUATIONS | TIME | MULTISYMPLECTIC GEOMETRY | LAGRANGIAN MECHANICS | NUMERICAL-SOLUTION | SYSTEMS | CONSTRAINED OPTIMAL-CONTROL | AUTOMATION & CONTROL SYSTEMS | Studies | Control theory | Mathematical analysis | Optimization
Discrete variational principle | Optimal control | Discrete mechanics | Convergence | MATHEMATICS, APPLIED | discrete mechanics | discrete variational principle | convergence | VARIATIONAL INTEGRATORS | BOUNDARY-VALUE PROBLEMS | EULER-POINCARE | EQUATIONS | TIME | MULTISYMPLECTIC GEOMETRY | LAGRANGIAN MECHANICS | NUMERICAL-SOLUTION | SYSTEMS | CONSTRAINED OPTIMAL-CONTROL | AUTOMATION & CONTROL SYSTEMS | Studies | Control theory | Mathematical analysis | Optimization
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 06/2014, Volume 36, Issue 6, pp. 1187 - 1200
Motion is a strong cue for unsupervised object-level grouping. In this paper, we demonstrate that motion will be exploited most effectively, if it is regarded...
variational methods | Computer vision | Tracking | Motion segmentation | Noise | Optical imaging | Adaptive optics | Trajectory | point trajectories | motion segmentation | RECOGNITION | OPTICAL-FLOW | FRAMEWORK | GRAPH CUTS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Measurement | Image segmentation | Technology application | Pattern recognition | Object recognition (Computers) | Methods | Pixels | Windows (intervals) | Side effects | Segmentation | Color | Benchmarking | Ground truth | Shot | Pattern analysis
variational methods | Computer vision | Tracking | Motion segmentation | Noise | Optical imaging | Adaptive optics | Trajectory | point trajectories | motion segmentation | RECOGNITION | OPTICAL-FLOW | FRAMEWORK | GRAPH CUTS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Measurement | Image segmentation | Technology application | Pattern recognition | Object recognition (Computers) | Methods | Pixels | Windows (intervals) | Side effects | Segmentation | Color | Benchmarking | Ground truth | Shot | Pattern analysis
Journal Article