Tutorial Lecture Series on Infectious Diseases Affecting Africa - Part 4
Explore infectious diseases impacting Africa in this lecture, part of a series examining public health challenges and mathematical approaches to addressing them.
Oxford Calculus - Gradient and Divergence Explained
Comprehensive explanation of gradient vector and divergence in multivariable calculus, including formal definitions, visualizations, examples, and connections to other concepts. Includes free worksheet and app recommendations.
Leonardo da Vinci: The Man Behind the Myths
Explore Leonardo da Vinci's life, works, and genius through expert insights, debunking myths and revealing the fascinating reality behind the Renaissance polymath.
PCB Antenna - How to Design, Measure and Tune
Learn PCB antenna design, measurement, and tuning techniques for optimal performance in electronic devices. Covers layout, common mistakes, and practical adjustments for improved signal output.
Hypertension Burden and Interventions - Public Health Approach by Prabhdeep Kaur
Explore public health strategies for managing hypertension, including burden assessment and effective interventions. Learn about population-level approaches to prevent and control high blood pressure.
Prediction of Survival Analysis for Cancer Patients
Explore survival analysis prediction for cancer patients using machine learning techniques. Learn to harness computational methods for improved patient outcome forecasting and healthcare decision-making.
Kalman Filter for Beginners - Estimation and Prediction Process & MATLAB Example
Explore Kalman Filter estimation and prediction processes, system modeling, and MATLAB examples. Learn practical applications for dynamic attitude estimation in aerospace engineering.
Random Restrictions and Fourier Concentration - Part 2
Explore advanced concepts in Fourier analysis and random restrictions, focusing on their applications in theoretical computer science and mathematical analysis.
Random Restrictions and Fourier Concentration - Part 1
Explore random restrictions and Fourier concentration in analysis and theoretical computer science with MIT researcher Esty Kelman.
Capitalism and Democracy - Part 1
Explore capitalism and democracy through digital humanities analytics, focusing on text analysis, probability, and natural language processing to extract meaning from digital sources.
Simulating an Epidemic
Explore epidemic dynamics through toy SIR models, visualizing how various factors influence disease spread and containment strategies.
A Blackbox Reduction for Adaptive Adversaries Using Differential Privacy
Explore a novel black-box transformation using differential privacy to convert dynamic algorithms from oblivious to adaptive adversary resistance, enhancing algorithm design for dynamic graphs.
Tutorial Lecture Series on Infectious Diseases Affecting Africa - Part 2
Explore infectious diseases impacting Africa through mathematical modeling, focusing on transmission dynamics, control strategies, and public health implications.
The Multiscale Hybrid Mixed Finite Element Method for Polygonal Meshes
Explores Multiscale Hybrid Mixed method for polygonal meshes, discussing upscaling, flux reconstruction, and a new variant with elliptic problems. Covers applications and collaborations in computational mathematics.
Sharp Fourier Restriction Theory Over Finite Fields
Explore recent developments in sharp Fourier restriction theory over finite fields, examining the intersection of two key areas in mathematical research.
Exploring Geomechanical Models for Geothermal Projects - SIAM Geosciences Webinar
Discover geomechanical modeling for CO2 storage and geothermal projects with Dr. Stefano Mantica. Learn about applied mathematics in renewable energy and climate change solutions.
Linear Operator Theoretic Framework for Data-Driven Optimal Control
Explore a novel approach to data-driven optimal control using linear operator theory, presented by Umesh Vaidya from Clemson University at the Fourth Symposium on Machine Learning and Dynamical Systems.
State Estimation of Complex Systems
Explore state estimation techniques for complex systems, focusing on advanced methods and applications in dynamical systems and machine learning.
Discovering Dynamics and Parameters of Nonlinear Systems from Partial Observations
Explore techniques for uncovering nonlinear system dynamics and parameters using incomplete data, enhancing understanding of complex systems and their behavior.
Differentiable Programming for Data-driven Modeling, Optimization, and Control
Explore data-driven modeling, optimization, and control through differentiable programming techniques in this symposium talk by Jan Drgona from Pacific Northwest National Laboratory.
Understanding Chemotherapeutic Tolerance Through a Mathematical Model of Drug-Induced Resistance
Explore a mathematical model of drug-induced resistance in cancer treatment, examining chemotherapeutic tolerance and its implications for oncology.