Applied Mathematics.
概要
作品: | 360 作品在 0 項出版品 0 種語言 |
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書目資訊
Boolean factor analysis: A review of a novel method of matrix decomposition and neural network Boolean factor analysis.
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Meshless collocation methods for the numerical solution of elliptic boundary valued problems the rotational shallow water equations on the sphere.
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An efficient exponential time differencing method for nonlinear reaction diffusion problems.
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The development of a computationally efficient high-resolution viscous-plastic sea ice model.
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Increased accuracy and efficiency in finite element computations of the Leray-deconvolution model of turbulence.
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A numerical study of subgrid artificial viscosity methods for the Navier-Stokes Equations.
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Sparse representation for detection of transients using a multi-resolution representation of the auto-correlation of wavelets.
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Modeling transient and sustained epidemic dynamics: Cholera, influenza and rubella as case studies.
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The cummulative incidence estimate versus the Kaplan Meier method in medical research.
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Multivariate outlier mining using cluster analysis: Case study - National Health Interview Survey.
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A predictive model for secondary RNA structure using graph theory and a neural network.
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Model simulation and reduction of variable-density flow and solute transport using proper orthogonal decomposition.
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Existence, stability and dynamics of solitary waves in nonlinear Schrodinger models with periodic potentials.
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Simultaneous variable selection and outlier detection using LASSO with applications to aircraft landing data analysis.
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A Robust hp-Adaptation Method for Discontinuous Galerkin Discretizations Applied to Aerodynamic Flows.
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Systematic approach to basic local alignment search tool (BLAST) in bioinformatics.
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GPU-accelerated Fourier-continuation solvers and physically exact computational boundary conditions for wave scattering problems.
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A New Approach to Pricing Real Options on Swaps: A New Solution Technique and Extension to the Non-a.s. Finite Stopping Realm.
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On manifolds with Ricci curvature lower bound and Kahler manifolds with nonpositive bisectional curvature.
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Existence of locally momentum conserving solutions to a model for heat conducting flow.
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Exploiting geometry, topology, and optimization for knowledge discovery in big data.
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A Statistical Analysis for Estimating Fish Number Density with the Use of a Multibeam Echosounder.
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Multiphase image segmentation based on intensity statistics: Modeling and applications.
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An application of statistics in nanotechnology: Assessing the reliability of nanosensors.
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Cognitive computing: Algorithm design in the intersection of cognitive science and emerging computer architectures.
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Compositional Applications of Generalized Lead Structures, SP-Cycles, and Syntax Graphs and Hardscrabble for Wind Ensemble.
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Experimental and Numerical Investigations of Novel Architectures Applied to Compressive Imaging Systems.
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The development of a robust, efficient solver for spectral and spectral-element time discretizations.
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Theoretical modeling and computational simulation of robust control for Mars aircraft.
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Sequential Optimization in Changing Environments: Theory and Application to Online Content Recommendation Services.
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Convex relaxation for low-dimensional representation: Phase transitions and limitations.
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Dynamics of nonlinear snap--through chains with application to energy harvesting and wave propagation.
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Sparse coding and compressed sensing: Locally competitive algorithms and random projections.
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Classification of Neuroanatomical Structures Based on Non-Euclidean Geometric Object Properties.
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Fast and Reliable Methods in Numerical Linear Algebra, Signal Processing, and Image Processing.
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Computational Methods in Machine Learning: Transport Model, Haar Wavelet, DNA Classification, and MRI.
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The Chirped Quilted Synchrosqueezing Transform and Its Application to Bioacoustic Signal Analysis.
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Two Studies of Complex Nonlinear Systems: Engineered Granular Crystals and Coarse-Graining Optimization Problems.
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Development of a Complexity-Reduced, Collisional-Radiative Model for Multiphysics Plasma Simulations.
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Smoothed Particle Hydrodynamics Method for Compressible Multiphase Turbulent Flow with Application to Volcanic Plume Modeling.
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Formulations and Valid Inequalities for Network Interdiction Problems and Reverse Convex Sets.
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A Time Series Data Mining and Unobserved Component Modeling Approach to Credit Risk Correlation Modeling.
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Stochastic Programming Models to Integrate Biomass Quality Variability in the Design of Biofuel Logistics Networks.
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Non-Convex Optimization and Applications to Bilinear Programming and Super-Resolution Imaging.
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Multiplex Network Analysis of Local Topology in Simulated and In Vitro Spiking Neural Networks.
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Complex Dynamical Systems: Definitions of Entropy, Proliferation of Epithelia and Spread of Infections and Information.
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Automatic basis function construction and global-local approximation of dynamic system response.
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Dynamics of continuously stratified and two-layer incompressible Euler fluids and internal waves.
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The Stability and Instabilities of Stationary Solutions to the Nonlinear Schrodinger Equation and the Sine-Gordon Equation.
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Nonlocal Neumann Volume-Constrained Problems and Their Application to Local-Nonlocal Coupling.
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An Adaptive Constraint-Based Immersed Body Method for Multiphase Fluid-Structure Interaction.
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Some Spectral Ideas Applied to Finance and to Self-similar and Long-range Dependent Processes.
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Practical algorithms to discover degree constrained spanning trees in sparsely connected graphs.
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An application of spectral translation and spectral envelope extrapolation for high-frequency bandwidth extension of generic audio signals.
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A Study on Differential Games with Applications to Asset Management and Market-Liquidity Research.
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Inference in discrete high dimensional space: An exploration of the Earth's ice sheets through change point and variable selection techniques.
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Path-dependence properties of leveraged exchange-traded funds: Compounding, volatility and option pricing.
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A minimum-cost-neighbor multicast routing protocol for mobile wireless ad hoc networks.
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Option pricing and stable trading strategies in the presence of information asymmetry.
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Monte Carlo estimation of stochastic volatility for stock values and potential applications to temperature and seismographic data.
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A spectral element method for fluid-structure interaction: New algorithm and applications to intracranial aneurysms.
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Arima model for forecasting Poisson data: Application to long-term earthquake predictions.
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Efficient controls for finitely convergent sequential algorithms and their applications.
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Repeated-game models of competitive electricity markets: Formulations and algorithms.
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An information theoretic approach to compressed sensing and its utility in magnetic resonance imaging.
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Survival of Escherichia coli O157:H7 in Acidified Foods: A predictive Modeling Approach.
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Analysis and computation of corner singularity for some parabolic and hyperbolic equations.
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New methods of estimation of long-memory models with an application in climatology.
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Identification of sound-producing hydrophilid beetles in underwater recordings using digital signal processing.
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Parallel processing of Eulerian-Lagrangian, cell-based adaptive method for moving boundary problems.
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Novel residual-based large eddy simulation turbulence models for incompressible magnetohydrodynamics.
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Optimal stopping for Markov modulated Ito-Diffusions with applications to finance.
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A hybrid approach of physical laws and data-driven modeling for estimation: the example of queuing networks.
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Pseudo-Spectral and Kronecker Product Methods for Fourth Order Partial Differential Equations.
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Two problems in computational wave dynamics: Klemp -Wilhelmson splitting at large scales and wave -wave instabilities in rotating mountain waves.
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Matching, archiving and visualizing cultural heritage artifacts using multi-channel images.
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The application and assessment of consumer credit scoring models in measuring consumer loan issuing risk of commercial banks in China.
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Reduced order techniques for sensitivity analysis and design optimization of aerospace systems.
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Big data analytic techniques: Predicting renewable energy capacity to facilitate the optimization of power plant energy trading and control algorithms.
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Image and Signal Processing with Non-Gaussian Noise: EM-Type Algorithms and Adaptive Outlier Pursuit.
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Restoration of Images in the Presence of Rician Noise and in the Presence of Atmospheric Turbulence.
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Spacecraft stability and control using new techniques for periodic and time-delayed systems.
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Dispersion prediction models in nested data structures: Examining the performance of dispersion indexes in polytomous items.
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Modeling Intra-day Markets with an application of Risk Management and Optimal Order Execution.
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Future of Earthquake Early Warning: Quantifying Uncertainty and Making Fast Automated Decisions for Applications.
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Uncertainty Quantification for Fokker Planck Type Equations and Related Problems in Machine Learning.
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At the Intersection of Differential Equations and Optimization: Inverse Problems, Path Planning and Krylov Subspaces.
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Volatility Estimation Methods for High-Frequency and Bivariate Open, Close, High, Low Prices.
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Algorithmic Advances to Increase the Fidelity of Conceptual Hypersonic Mission Design.
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On the stability and accuracy of high-order Runge-Kutta discontinuous Galerkin methods.
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Unveiling mechanisms for electrical activity patterns in neurons and pituitary cells using mathematical modeling and analysis.
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Rigorous Proofs of Old Conjectures and New Results for Stochastic Spatial Models in Econophysics.
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