Nonholonomic Systems with Inequality Constraints
Explore nonholonomic systems with inequality constraints, delving into advanced concepts and applications in control theory and robotics.
Expressiveness and Structure Preservation in Learning Port Hamiltonian Systems
Explore advanced techniques for learning Port Hamiltonian systems, focusing on expressiveness and structure preservation in dynamic modeling and control applications.
The True Colors of Memory - A Tour of Chromatic-Memory Strategies in Zero-Sum Games
Explore chromatic-memory strategies in zero-sum games with Patricia Bouyer. Delve into discrete mathematics and logic, bridging pure mathematics and computer science concepts.
1D Finite Element Method: Matrix Assembly for 1D Wave Equation
Explore matrix assembly techniques for the 1D Finite Element Method applied to the 1D Wave Equation, enhancing understanding of numerical solutions in computational physics.
Stochastic Games with Limited Memory Space
Explore stochastic games with limited memory space in this insightful seminar by Abraham Neyman, delving into advanced game theory concepts.
Agreement and Disagreement in a Non-Classical World
Explore agreement and disagreement in non-classical contexts through Adam Brandenburger's insightful seminar on mathematical game theory.
Additive Context-Dependent Preferences
Explore additive context-dependent preferences with Stephan Jagau, covering motivation, approach, and related literature in mathematical game theory.
Nonholonomic Systems with Inequality Constraints
Explore nonholonomic systems with inequality constraints, delving into advanced concepts and applications in control theory and robotics.
Mathematical Modeling of Drug Resistance in Cancer - Lecture 3
Explore mathematical models of drug resistance in cancer, focusing on treatment optimization and understanding tumor evolution dynamics.
Phase I Study of a Novel Glioblastoma Radiation Therapy Schedule Exploiting Cell-State Plasticity
Explore innovative glioblastoma radiation therapy schedules leveraging cell-state plasticity in this cutting-edge Phase I study presentation.
Solving a Pricing Problem Under Irrational Behavior
Explore behavioral models accounting for irrational customer choices in pricing problems, challenging traditional microeconomic assumptions.
How Math Can Help with Engineering Problems
Odkryj, jak matematyka rozwiązuje problemy inżynieryjne, wykorzystując zaawansowane metody i narzędzia do analizy złożonych systemów technicznych.
Mathematical Oncology: Insights into Cancer Treatment from a Mathematical Perspective
Explore mathematical models for cancer treatment, gaining insights into tumor growth, drug delivery, and therapeutic strategies from a quantitative perspective.
Quantifying Household Transmission Dynamics for Epidemic Control: COVID-19 and Beyond
Explore mathematical models of household transmission networks for epidemic control, focusing on COVID-19 impacts, social distancing effectiveness, and housing policy implications.
LAGHOST: Development of Lagrangian High-Order Solver for Tectonics
Explore LAGHOST, a Lagrangian high-order solver for tectonic simulations. Learn about its features, benchmarks, and applications in modeling geological processes like normal fault evolution.
Hierarchical Perspective on Robotic Control
Explore hierarchical control strategies for complex robotic systems, focusing on dynamically stable behaviors in 3D hopping and planar bipedal robots. Learn about geometric and nonlinear control in hierarchical architectures.
MFEM Application to EM-Wave Simulation in ECR Space Plasma Thrusters
Explore EM-wave simulation in ECR space plasma thrusters using MFEM. Learn about Maxwell equations, cold-plasma approximation, and finite element discretization for space propulsion applications.
Data-Driven Dynamical Systems Overview
Overview of data-driven approaches to tackle challenges in modern dynamical systems, exploring machine learning techniques for nonlinear and unknown dynamics, prediction, and control.
A Peaceman-Rachford Splitting Method for the Protein Side-Chain Positioning Problem
Explore protein side-chain positioning through doubly nonnegative relaxation and Peaceman-Rachford splitting method, with insights on facial reduction and numerical experiments for optimal solutions.
Rigidity Theory for Gaussian Graphical Models - The Maximum Likelihood Threshold of a Graph
Explore rigidity theory's application to Gaussian graphical models, focusing on maximum likelihood thresholds and their implications for data analysis in genomics and other fields.
How Optimal Transport Can Help Us to Determine Curvature of Complex Networks
Explore Ollivier Ricci curvature in complex networks, its applications in network analysis, and implementation in chemical reaction networks using optimal transport theory.