
Oxford mathematician tackles Physics Admissions Test questions, demonstrating problem-solving skills and providing insights into the exam's content and difficulty level for prospective students.

Explore a graphical solver for mathematical optimization, visualizing function minimization with equality constraints and generating LLM-based reports for enhanced understanding.

Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.

Discover SymPy for solving complex math problems with Python. Learn to use Jupyter for assignments and contribute to computational mathematics.

Explore how graph data structures can be used to create and visualize Vogue Dance choreographies, combining computer science concepts with artistic expression and LGBTQIA+ culture.

Explores advanced applications of dual chains in random walks, focusing on less symmetric scenarios and statistical applications, with examples from hyperplane arrangements and non-uniform duals.

Explore causal machine learning with CausalELM, covering potential outcomes, real-world examples, extreme learning machines, and estimators. Learn practical implementation for various applications without extensive statistical background.

Explore forensic science using Julia, applying math and science concepts to solve crime puzzles. Learn to utilize Julia packages for data analysis, visualization, and complex problem-solving in criminal investigations.

Explore advancements in BifurcationKit.jl for analyzing periodic and homoclinic orbits, including new methods for bifurcation analysis and integration with other Julia packages.

Explore dynamical spectral transitions in high-dimensional optimization, examining mathematical concepts and their applications in complex systems and data analysis.

Explore deformations over non-commutative base with Professor Yujiro Kawamata, delving into advanced mathematical concepts and their applications in algebraic geometry.

Explore mathematical models for living tissues and free boundary problems with Professor Benoît Perthame. Gain insights into advanced analytical techniques for biological systems.

Explore mathematical models for living tissues and free boundary problems with Professor Benoît Perthame, delving into advanced analytical techniques and applications.

Explore mathematical models for living tissues and free boundary problems with Professor Perthame, delving into advanced analysis techniques and applications in biological systems.

Explore mathematical models for living tissues and free boundary problems with Professor Benoît Perthame. Gain insights into advanced analytical techniques for biological systems.

Explore PDEs for neural assemblies, analyzing their behavior through simulations and mathematical techniques with Professor Benoît Perthame from Sorbonne University.

Explore unipotent character sheaves and strata of reductive groups with George Lusztig, delving into advanced mathematical concepts and their applications.

Explore semisimple groups and total positivity theory with MIT's George Lusztig, delving into advanced mathematical concepts and their applications in group theory.

Explore advanced techniques in convex optimization, focusing on higher-order methods and their applications in mathematical problem-solving and algorithm development.

Explore optimization techniques and their real-world applications with insights from Stephen Wright of University of Wisconsin-Madison, blending theoretical foundations and practical implementations.

Explore applications of dual processes in Markov chains, including strong stationary times, eigenvalue interpretation, and solutions to the Peres conjecture for Birth and Death chains.