Large-Scale Scientific Computing

ofHeterogeneous Air Quality Monitoring Data.- Using the Cauchy Criterion and the Standard Deviation to Evaluate the Sustainability of Climate Simulations.- Multidimensional Sensitivity Analysis of an Air Pollution Model Based on Modifications of the van der Corput Sequence.- Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation.- Application of Metaheuristics to Large-Scale Problems.- New Clustering Techniques of Node Embeddings Based on Metaheuristic Optimization Algorithms.- A Comparison of Machine Learning Methods for Forecasting Dow Jones Stock Index.- Optimal Knockout Tournaments: Definition and Computation.- Risk Registry Platform for Optimizations in Cases of CBRN and Critical Infrastructure Attacks.- Influence of the ACO Evaporation Parameter for Unstructured Workforce Planning Problem.- binMeta:

a New Java Package for Meta-heuristic Searches.- Synergy between Convergence and Divergence - Review of Concepts and Methods.- Advanced Stochastic Approaches Based on Optimization of Lattice Sequences for Large-Scale Finance Problems.- Intuitionistic Fuzzy Approach for Outsourcing Provider Selection in a Refinery.- Quantitative Relationship Between Particulate Matter and Morbidity.- Advanced Discretizations and Solvers for Coupled Systems of Partial Differential Equations.- Decoupling Methods for Systems of Parabolic Equations.- Optimal Control of ODEs, PDEs and Applications.- Random Lifting of Set-valued Maps.- Höolder Regularity in Bang-Bang Type Affine Optimal Control Problems.- Simultaneous Space-time Finite Element Methods for Parabolic Optimal Control Problems.- A New Algorithm for the LQR Problem with Partially Unknown Dynamics.- Tensor and Matrix Factorization for Big-Data Analysis.- Solving Systems of Polynomial Equations - a Tensor Approach.- Nonnegative Tensor-train Low-rank Approximations of the Smoluchowski Coagulation Equation.- Boolean Hierarchical Tucker Networks on Quantum Annealers.- Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.- Machine Learning and Model Order Reduction for Large Scale Predictive Simulations.-  Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems.- A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows.- A Multiscale Fatigue Model for the Degradation of Fiber-reinforced Materials.- A Classification Algorithm for Anomaly Detection in Terahertz Tomography.- Reduced Basis Methods for Efficient Simulation of a Rigid Robot Hand Interacting with Soft Tissue.- Structured Deep Kernel Networks for Data-Driven Closure Terms of Turbulent Flows.- HPC and Big Data: Algorithms and Applications.- On the Use of Low-discrepancy Sequences in the Training of Neural Networks.- A PGAS-based Implementation for the Parallel Minimum Spanning Tree Algorithm.- Comparison of Di_erent Methods for Multiple Imputation by Chain Equation.- Monte Carlo Method for Estimating Eigenvalues Using Error Balancing.- Multi-Lingual Emotion Classification Using Convolutional Neural Networks.- On Parallel MLMC for Stationary Single Phase Flow Problem.- Numerical Parameter Estimates of Beta-uniform Mixture Models.- Large-Scale Computer Simulation of the Performance of the Generalized Nets Model of the LPF-algorithm.- Contributed Papers.- A New Error Estimate for a Primal-Dual Crank-Nicolson Mixed Finite Element Using Lowest Degree Raviart-Thomas Spaces for Parabolic Equations.- A Finite Volume Scheme for a Wave Equation with Several Time Independent Delays.- Recovering the Time-Dependent Volatility in Jump-Diffusion Models from Nonlocal Price Observations.- On the Solution of Contact Problems with Tresca Friction by the Semismooth* Newton Method.- Fitted Finite Volume Method for Unsaturated Flow Parabolic Problems with Space Degeneration.- Minimization of p-Laplacian via the Finite Element Method in MATLAB.- Quality Optimizationof Seismic-derived Surface Meshes of Geological Bodies.