Beware of phishing emails

We would like to alert all conference attendees to be vigilant against phishing emails. It has come to our attention that some individuals may attempt to deceive conference participants by sending fraudulent emails regarding conference organization or accommodation bookings.

Please be cautious when receiving emails related to the conference.

Here is what you need to know:

Conference Organization: Our conference is organized by our dedicated team. We do not collaborate with any third-party organizations for these purposes.
Accommodation Booking: Accommodation is included in your Conference fee. Do not respond to unsolicited emails offering lodging options or personal information requests.
Valid Email Addresses: Ensure that you only respond to emails sent from official conference email addresses, such as algoritm@math.sk, or from known personal emails of our organization team members. If you are ever unsure about an email, please report it to our team immediately.

Thank you for your cooperation, and we eagerly look forward to welcoming you to ALGORITMY 2024.

Beware of phishing emails

Contact: algoritm@math.sk

Contact: algoritm@math.sk

Beware of phishing emails

Contact: algoritm@math.sk

Contact: algoritm@math.sk

An H(div)-Conforming E-HDG Method for the Incompressible Resistive MHD equations

Algebraic stabilizations of convection-diffusion problems and their convergence on general meshes

Oscillation-free numerical scheme for the Biot's model

Computational Multiscale Modelling of Glioblastoma Growth and Spread within Fibrous Brain Environment

Modeling root water uptake activity in the unsaturated water flow framework

A Macroscopic Model for Unsaturated Flow in Deformable Evolving Porous Media

Robust time-discretization, linearization and adaptive algorithms for coupled problems in porous media

A multi-scale model for freeze/thaw-induced pressure generation in maple trees

An iterative scheme for the stochastic Stefan problem

Image segmentation and its application to track a flame/smoldering front in combustion

Fixed-stress method for a class of nonlinear poroelasticity problems

Maximal monotone operator technique for solving Hamilton-Jacobi-Bellman equations arising in optimal portfolio selection problem

A new algorithm for surface reconstruction using a semi-Lagrangian scheme with local interpolator

Some numerical models for multi-material interaction in compressible or incompressible regimes

Evolutionary PDEs with Volterra operators: direct and inverse source problems

Dissipation-based WENO stabilization for high-order finite element discretizations of hyperbolic problems

Approximations of linear elliptic problems with irregular data on general simplicial grids

Limiter-based entropy stabilization of semi-discrete and fully discrete schemes for nonlinear hyperbolic problems

Parental bonus in pension systems

Mathematical modeling of freezing inception in a porous medium

Pharmacological models and numerical algorithms for the refinement of therapeutic approaches for retinal diseases

Oscillations in diffusion-driven gene regulatory networks for nuclear receptors

A quadrature-free p-adaptive discontinuous Galerkin discretization for the shallow water equations

Enforcing cell entropy inequalities using subcell limiting

Reaction-diffusion type modeling of self-propelled object motion and its singular limit

A Comparison Study of ADI and ADE Methods of the Black-Scholes equation on option pricing Models

Numerical Simulation of Water Freezing in a 3D Container Filled with Glass Beads

On the estimation of blood hemolysis index from viscoelastic stretch model

Model Reduction and Learning for PDE Constrained Optimization

Learning the solution operator of Hamilton Jacobi Bellman equations using physics-informed DeepONets

Path-based data envelopment analysis models with direction defined using the anti-ideal point

A fast numerical method for the operator solution of the generalized Rosen-Zener model

First and second order optimisation for solving initial value problems with neural forms on subdomains

Image Segmentation with Shape Compactness Regularization

Second order bounds in time for POD-ROM methods for the Navier-Stokes equations

Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems

Training and enrichment based on a residual localization strategy

Multiplier form of the path-based data envelopment analysis models and a single-stage approach for finding an efficient target

Bounds preservation, conservation, and reduction of material diffusion in multi-material ALE remap

Parameter Fitting Using Bayesian Inversion Assisted by Neural Network Surrogate Model

An improved Frankot and Chellappa method for surface normal integration using fuzzy concepts

Energy-preserving numerical methods for some dispersive shallow water models

Applications of constrained forced curvature flow

Direct Parallel-in-Time method based on Spectral Deferred Correction

Solving the fixed gravimetric boundary value problem using mapped infinite elements

Obstacle detection in Stokes fluid flow using a novel shape optimization approach

Bilevel Optimization with a No-Reference Image Statistics Based Score-Predictor Loss

Algebraic error in Adaptive Finite Element Method

Electric Field Predictions Using Physics-Informed Neural Networks

Model order reduction techniques for reactive transport problems

ALE based MOR for transport dominated problems: calibration, optimization and regression

Monolithic Convex Limiting for Legendre–Gauss–Lobatto Discontinuous Galerkin Spectral Element Methods

Localized numerical stabilization based on conformation tensor spectrum for viscoelastic fluids flows simulations

Recent advances in well-balanced methods for systems of conservation laws

A Novel Approach to Flux Balance Analysis in Genome-Scale Metabolic Modeling Using Dual Form Anderson Acceleration with Loopless Constraints

Steklov properties of the Helmholtz operator in the plane

The role of volatility in guaranteed bond funds

Predicting the persistence or extinction of species using integro-differential equations

Convergence of the finite element method on extremely deformed meshes

An experimental analysis of the K-SVD algorithm

3D high-resolution numerical modelling of altimetry-derived marine gravity data using FVM

Sketching and Recycling GMRES for a Sequence of PDE Solves

Adaptively optimised transmission conditions in Schwarz methods

Augmented Lagrangian Acceleration of Global-In-Time Oseen Solvers

PhysicsML: Harnessing the Power of AI in Technology Development

AI-Driven Fluid Dynamics

Piece-wise Symplectic Model Reduction on Quadratically Embedded Manifolds

Guaranteed and robust L2-norm a posteriori error estimates for 1D linear advection(-reaction) problems

Decomposition Methods for Training Neural Networks

Computational smeared damage in the macroscopic analysis of quasi-brittle materials and structures

Active learning of Gaussian Process Regression surrogates from simulated training data

Learning local Dirichlet-to-Neumann maps of nonlinear elliptic PDEs with rough data

Towards Operator Learning for Ionic Models in Biomathematics

Inferring passive realizations from frequency data via spectral factorization

Parallel in time algorithms for control problems

Nonlinear preconditioning for training of physics-informed neural networks

Towards instance-dependent approximation guarantees for scientific machine learning using Lipschitz neural networks