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ISMaRT
  • Home
  • Current Projects
    • Enrique Alvarado's project
    • Exploring Random Matrices
    • Is the "Three points for a win" rule actually efficient?
    • Mitigating Barren Plateaus in Variational Quantum Algorithms
    • Monochromatic covers of edge-colored graphs
    • Simplicial complexes forcing failure of the weak Lefschetz property
  • Past Projects
    • Extraction of Electricity from Water – Modelling and Optimization
    • Monochromatic partitionings of edge-colored graphs
    • Rainbow trees
    • Random Points of Shapes in Space
    • Trail Trap on Cubic Hamiltonian Graphs
    • Unlocking the Secrets of Shape Optimization
    • Car-following
    • Computations of quantum eigenstates via deep neural networks
    • Control theory
    • Coxeter groups and extreme monomial ideals
    • Deep Neural Networks
    • Edge ideals
    • Equilibria of a time-inconsistent Markov decision processes
    • Food chains (2020)
    • Food chains (2021)
    • Frobenius problem
    • Geodesics
    • Gradient descent
    • Happy Numbers
    • Infinitesimal Symmetries
    • Kemeny's Constant
    • Machine learning
    • Matching
    • Maximal independent sets in grid-like graphs
    • Metric Dimension
    • Packing
    • Planar Turan number of {C4, C5}
    • Quantum groups
    • Random Set Zero Forcing
    • Rearrangements of infinite series
    • Semidiscrete FEM
    • Shape of a Drum
    • Turbulent Flows
    • Vaccination
    • Volume subsets
    • What is the fastest route down a hill?
    • Zero forcing
  • Applications
ISMaRT
  • Home
  • Current Projects
    • Enrique Alvarado's project
    • Exploring Random Matrices
    • Is the "Three points for a win" rule actually efficient?
    • Mitigating Barren Plateaus in Variational Quantum Algorithms
    • Monochromatic covers of edge-colored graphs
    • Simplicial complexes forcing failure of the weak Lefschetz property
  • Past Projects
    • Extraction of Electricity from Water – Modelling and Optimization
    • Monochromatic partitionings of edge-colored graphs
    • Rainbow trees
    • Random Points of Shapes in Space
    • Trail Trap on Cubic Hamiltonian Graphs
    • Unlocking the Secrets of Shape Optimization
    • Car-following
    • Computations of quantum eigenstates via deep neural networks
    • Control theory
    • Coxeter groups and extreme monomial ideals
    • Deep Neural Networks
    • Edge ideals
    • Equilibria of a time-inconsistent Markov decision processes
    • Food chains (2020)
    • Food chains (2021)
    • Frobenius problem
    • Geodesics
    • Gradient descent
    • Happy Numbers
    • Infinitesimal Symmetries
    • Kemeny's Constant
    • Machine learning
    • Matching
    • Maximal independent sets in grid-like graphs
    • Metric Dimension
    • Packing
    • Planar Turan number of {C4, C5}
    • Quantum groups
    • Random Set Zero Forcing
    • Rearrangements of infinite series
    • Semidiscrete FEM
    • Shape of a Drum
    • Turbulent Flows
    • Vaccination
    • Volume subsets
    • What is the fastest route down a hill?
    • Zero forcing
  • Applications
  • More
    • Home
    • Current Projects
      • Enrique Alvarado's project
      • Exploring Random Matrices
      • Is the "Three points for a win" rule actually efficient?
      • Mitigating Barren Plateaus in Variational Quantum Algorithms
      • Monochromatic covers of edge-colored graphs
      • Simplicial complexes forcing failure of the weak Lefschetz property
    • Past Projects
      • Extraction of Electricity from Water – Modelling and Optimization
      • Monochromatic partitionings of edge-colored graphs
      • Rainbow trees
      • Random Points of Shapes in Space
      • Trail Trap on Cubic Hamiltonian Graphs
      • Unlocking the Secrets of Shape Optimization
      • Car-following
      • Computations of quantum eigenstates via deep neural networks
      • Control theory
      • Coxeter groups and extreme monomial ideals
      • Deep Neural Networks
      • Edge ideals
      • Equilibria of a time-inconsistent Markov decision processes
      • Food chains (2020)
      • Food chains (2021)
      • Frobenius problem
      • Geodesics
      • Gradient descent
      • Happy Numbers
      • Infinitesimal Symmetries
      • Kemeny's Constant
      • Machine learning
      • Matching
      • Maximal independent sets in grid-like graphs
      • Metric Dimension
      • Packing
      • Planar Turan number of {C4, C5}
      • Quantum groups
      • Random Set Zero Forcing
      • Rearrangements of infinite series
      • Semidiscrete FEM
      • Shape of a Drum
      • Turbulent Flows
      • Vaccination
      • Volume subsets
      • What is the fastest route down a hill?
      • Zero forcing
    • Applications

Spring 2025

  • Extraction of Electricity from Water – Modelling and Optimization

  • Monochromatic partitionings of edge-colored graphs

  • Rainbow trees

  • Random Points of Shapes in Space

  • Trail Trap on Cubic Hamiltonian Graphs

  • Unlocking the Secrets of Shape Optimization

Spring 2024

  • Computations of quantum eigenstates via deep neural networks

  • Coxeter groups and extreme monomial ideals

  • Equilibria of a time-inconsistent Markov decision processes

  • Maximal independent sets in grid-like graphs

  • Planar Turan number of {C4, C5}

  • Rearrangements of infinite series

  • What is the fastest route down a hill?

Spring 2023

  • Deep Neural Networks

  • Infinitesimal Symmetries

  • Random Set Zero Forcing

  • Can You Hear the Shape of a Drum?

Spring 2022

  • Development of a Novel Car-following Model Using Fractional Differential Equations

  • Edge Ideals of Graphs in Exterior Algebras

  • Quantum Groups

  • Semidiscrete Finite Element Method for the Null Controlability of Certain Coupled PDE Systems

  • Distinct Volume Subsets

Spring 2021

  • Control Theory

  • Food Chains

  • Matching Theory in a Group Setting

  • Packing and Covering Cliques in Graphs

  • Finding Country- and Age- Specific Vaccination Strategy

  • Zero Forcing and its Variants

Spring 2020

  • Refuge effects in food chains

  • The Frobenius problem for triples

  • Geodesics and optimization problems

  • Intro to optimization in deep learning: Gradient Descent

  • Zero forcing and its variants

Spring 2019

  • Metric dimension and robotic navigation on graphs

  • Kemeny's constant and random walks on graphs

  • Spatial distributions of inertial particles advected by rough turbulent flows

  • Happy numbers: behavior under function iteration

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