Handbook of Visual, Experimental and Computational Mathematics

Sriraman, Bharath

Handbook of Visual, Experimental and Computational Mathematics

Edited by Bharath Sriraman ()

in Springer Books from Springer

Date: 2026
ISBN: 978-3-032-16368-4
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Chapters in this book:

Patterns, Pictures, and Predictions: Mapping Mathematical Worlds: Bharath Sriraman
Surveying Visualization of Information Patterns: Benjamín A. Itzá-Ortiz and Bharath Sriraman
Convolutional Neural Networks Applied to Modification of Images: Carlos I. Aguirre-Velez, José Antonio Arciniega-Nevárez and Eric Dolores-Cuenca
Discrete Representation of Cubical 2-Knots: Gabriela Hinojosa, Ana Baray and Juan Pablo Díaz
Fiber, a Software for Classification and Counting in Histological Images: Erika Elizabeth Rodriguez-Torres, Gonzalo Chávez-Fragoso, Enrique Vázquez-Mendoza, Cindy Xilonen Hinojosa-Rodríguez, Kenia López-García, Jorge Viveros-Rogel and Ismael Jiménez-Estrada
Forecasting Evolution: Mining for Predictability in the Unpredictable: Philip J. Gerrish, Ramiro Dominguez Aguilar and Alexandre Colato
Modeling Generalized Tonic-Clonic Seizures with Coupled FitzHugh Oscillators: Yessica Orozco and Pablo Padilla
Network Visualization: Graph Theory Meets Geometry, Topology, and Design: Enrique Hernández-Lemus and Hugo Tovar
Numerical Experiments and Visualization of Chaos: Felipe Contreras-Alcala and Alejandra Rosales-Lagarde
Quantitative Approaches in the Life Sciences: Eder Zavala and Moisés Santillán
Sandpiles: Carlos A. Alfaro and Criel Merino
Introduction to Visualization of Mathematics in the Viewpoint from Groups, Geometry, and Dynamics: Hyungryul Baik
Kleinian Groups from the Sphere at Infinity and Their Self-Joinings: Dongryul M. Kim
Gromov-Hyperbolic Graphs and Word-Hyperbolic Groups: Donggyun Seo
Entropies of Post-critically Finite Interval Maps: Chenxi Wu
Graphs and Surfaces: A Tale of Two Topologies: Sanghoon Kwak
Visual, Experimental, and Computational Approaches in Theoretical Mathematics: A Contemporary Perspective: Bharath Sriraman
The Rogers–Ramanujan Continued Fraction and the Icosahedron: Bruce Bartlett
Functional Dirichlet Series, Integral Representations of a Generalized Zeta Function, and Applications to Sustainability: Natanael Karjanto, Romano Emmanuelle and Bharath Sriraman
Quasiperiodic Tilings from Ptolemy’s Theorem as Applied to Regular Polygons: Peter Stampfli and Theo P. Schaad
Fractal Constructs: From the Classroom Blackboard to the Research Workbench: Stephen D. Casey, Richard Laurberg and Bharath Sriraman
Visualization of Spherical Harmonics in Peirce’s Quincuncial Projection: Björn Malte Schäfer
Shapes of Quantum States and Their Applications: Konrad Szymański
Revisiting the Notion of Integral: Calculus Versus Analysis: Ushangi Goginava, Farrukh Mukhamedov and Humberto Rafeiro
Linear Algebra: Multiple Perspectives with Notes on J. J. Sylvester: Ljiljana Arambašić and Bharath Sriraman
Light as a Dipole: A Tortoise and Hare Model: Karunakar Kothapalli, Andrew J. Simoson and Gideon A. Bezuidenhout
Hamilton’s General Quadratic Equation: Genesis and Modern Computation: Branko Sarić and Bharath Sriraman
Computational and Experimental Methods for Identifying Nonsensical Equations and Inequalities: Nenad Stojanović and Bharath Sriraman
Topological Data Analysis for Neural Time Series: Persistent Homology and Brain Dynamics: Johnathan Bush
Introduction to Analysis, Probability, and Topology Applied to Computational Mathematics, and Vice Versa: Eduardo S. Zeron and Bharath Sriraman
Potential Games in the Economics and Management of Pollution: Onésimo Hernández-Lerma and Héctor Jasso-Fuentes
A Repair Scheme for a Distributed Storage System Based on Multivariate Polynomials: Hiram H. López, Gretchen L. Matthews and Daniel Valvo
Computing the Degree of Black-Box Polynomials, with Applications: Eduardo S. Zeron and Jesús A. De Loera
The Computational Challenge of Constructing Cages and (k, g)-Graphs: Gabriela-Araujo Pardo, Jesús A. De Loera, Ana Paulina Figueroa, Adjani Gamma-Dessavre and Edgar Possani
Determinantal Ideals of Graphs: Carlos A. Alfaro, Juan Pablo Serrano and Ralihe R. Villagrán
Calculus of Variations, Maximum Principle, and Dynamic Programming for Supply Chain Optimal Control: Carlos E. López-Landeros, Ricardo Valenzuela-González, Elias Olivares-Benitez and Sergio Frausto-Hernández
Introduction to Experimental Mathematics: Scott B. Lindstrom
Computational Aspects of Totally Disconnected Locally Compact Groups: Michal Ferov, Stephan Tornier and George Willis
Experimental Mathematics and the Post-secondary Visualization Toolbox:toolbox Mathematics, History, and the Visual: Naomi Simone Borwein and Veselin Jungić
Data-Informed Modeling of the Formation, Persistence, and Evolution of Social Norms and Conventions: Mengbin Ye and Lorenzo Zino
Visualization of Convergence Behavior of a Generalized Newton Method and Levenberg–Marquardt Algorithm: Regina S. Burachik and C. Yalçın Kaya
Working Out Counterexamples in Convex Geometry: Vera Roshchina
Computational Mathematics in Music: Optimizing Frequency Modulation: Bishnu P. Lamichhane and Sachini Jayasooriya
Instance Space Analysis for Visualization of Algorithmic Trust: Kate Smith-Miles and Jeffrey Christiansen
Computational Convex Analysis: Tanmaya Karmarkar and Yves Lucet
Introduction to Data-Driven Sports Analytics: Diana Cheng and John B. Gonzalez
NFL Data Analytics and Predictions Using Machine Learning: Barry Husowitz, Mark Mixer and Steven Morrow
Using Markov Chains in Predictive Modeling of Sports: Amanda Harsy, Alyssa Hoofnagle, Megan Vesta, Harvey Campos-Chavez and Will deBolt
Scoring Streaks and Tactical Decisions Across Sports: Peter Staab and Rick Cleary
The Statistical Powers and Aptitudes of Different Analytic Regimes of Linear Regression Prediction Models in Athletics Performance and Beyond: Alexander Munson
Bump or Spike: An Analytical View Inside the Mind of a Collegiate Volleyball Team: Joshua Sasmor and Riley Rock
Data Analytics in Figure Skating Scoring: Diana Cheng, John B. Gonzalez, Janet Liu and Grace Stulman
Measuring Predictors of Winning in NCAA Basketball: Stella D. Tomasi, Banghee So and Austin Raymond
Using Data and Sports Equipment Technology to Predict Athletic Performance: Ryan Savitz, Andrew Bjorkelo, Helen Cooney, Oliver DiDonato, Caley Gee, Christopher Greve, Bo Wagonner and Jared Ward
What a Difference a Method Makes: Aggregating Rankings and Scores in Sports: Michael A. Jones and Jennifer M. Wilson
Data-Driven Modeling: Marcos A. Capistrán and Bharath Sriraman
Data-Driven Approach to Analysis of SIR (Susceptible-Infected-Removed/ Recovered)-Type Models: The Principle of Parsimony Applied to Epidemics Modeling in the Age of COVID-19: Leonid Kalachev, Erin L. Landguth and Jonathan Graham
MONOPOLI: A Customizable Model for Forecasting COVID-19 Around the World Using Alternative Nonpharmaceutical Intervention Policy Scenarios, Human Movement Data, and Regional Demographics: Christopher H. Arehart, Jay H. Arehart, Michael Z. David, Bernadino D’Amico, Emanuele Sozzi, Vanja Dukic and Francesco Pomponi
Mathematical Modeling and Wastewater-Based Epidemiology: J. Cricelio Montesinos-López, Maria L. Daza–Torres, Yury E. García and Miriam Nuño
Modeling the Influenza Virus Dynamics Within a Host: Roberto A. Saenz
Dynamical Survival Analysis for Epidemic Modeling: Grzegorz A. Rempała and Wasiur R. KhudaBukhsh
A Model of Dengue Transmission: Marcos A. Capistrán, Ignacio Barradas Bribiesca and Gladys E. Salcedo
Parameter Estimation and Forecasting for Biased Models: Miracle Amadi and Heikki Haario
Markov Decision Processes and Best Responses of Epidemic Models: Saul Diaz-Infante, David Gonzalez-Sanchez and Gabriel Salcedo-Varela
Retrospective Modeling of the Impact of Vaccination and Non-pharmaceutical Interventions on the COVID-19 Pandemic: Hugo Flores-Arguedas, José Ariel Camacho-Gutiérrez and Fernando Saldaña
Modern Statistical Modeling Techniques in Life Sciences: Vanja Dukic
Preparing for the Next Pandemic: Learning Lessons from the Recent Past: Bret D. Elderd, Tad Dallas, Grant Foster and Robert L. Richards
Learning Diffusion Coefficients, Kinetic Parameters, and the Number of Underlying States from a Multistate Diffusion Process: Robustness Results and Application to PDK1/PKC α $$\upalpha $$ Dynamics: Lewis R. Baker, Moshe T. Gordon, Brian P. Ziemba, Victoria Gershuny, Joseph J. Falke and David M. Bortz
Bias and Coverage Properties of the WENDy-IRLS Algorithm: Abhi Chawla, David M. Bortz and Vanja Dukic
Introduction to Uncertainty with Visual, Experimental, and Computational Considerations: Marcos A. Capistrán
Sample-Based Uncertainty Quantification for Inverse Problems with Poisson Data: Johnathan M. Bardsley
An Introduction to Neural Networks for Uncertainty Quantification in Epidemiological Models: Abel Palafox González, L. Leticia Ramírez-Ramírez, Román Zúñiga-Macías, Sergio Barajas-Oviedo and Ulises Uriostegui-Legorreta
Bayesian Inversion in Fractional Models for Cell Migration: Francisco J. Ariza-Hernandez, Jorge Sanchez-Ortiz, Erika González-Nava, Juan Carlos Najera-Tinoco, Martin P. Arciga-Alejandre and Eduardo Castañeda-Saucedo

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DOI: 10.1007/978-3-032-16368-4

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