
Comprehensive overview of calculus fundamentals, covering integration, derivatives, limits, sequences, and functions, tailored for professionals in engineering, science, and economics.

Explore the Jacobian matrix and determinant in multivariable calculus, rethinking derivatives and integrals for a deeper understanding of changing variables in higher dimensions.

Exploring counterfactual prediction in AI: enhancing prediction algorithms with 'what if' capabilities for improved decision-making and fairness in healthcare, insurance, and beyond.

Comprehensive tutorial on mastering the product rule in calculus, featuring 20 practice problems of increasing difficulty covering various mathematical concepts and applications.

Explore wall crossing phenomena in moduli spaces of stable pairs, examining their geometric and algebraic properties and implications for birational geometry.

Explore a microstructural model explaining price impact concavity in financial markets, with insights on order flow, fundamental pricing, and meta-order execution dynamics.

Explore quantitative risk management through extremal bounds for risk measures, focusing on uncertainty in interdependence between risk factors and its impact on portfolio analysis.

Explore calculus with integral polynumbers, covering Pascal's Array, Taylor polynumbers, derivatives, and subderivatives. Learn alternative approaches to traditional calculus concepts and their applications.

Explore geometric construction of Monge-Ampère operators on finite convex functions, examining their properties and related valuations as functional versions of Hermitian intrinsic volumes.

Explore the innovative applications of mathematics in finance, unlocking new possibilities and expanding boundaries for financial analysis and decision-making.

Explore dimer models and random tilings with Cédric Boutillier. Learn about Kasteleyn's theory, combinatorial correspondences, and asymptotic methods for studying perfect matchings on lattices.

Explore recent developments in valuations on function spaces, focusing on convex and continuous functions, with insights into measure-valued valuations and their classifications.

Explore path convergence of Markov chains on large graphs, examining theoretical aspects and applications in network science, probability theory, and complex systems analysis.

Explore spin systems on spatial random graphs, examining their properties, dynamics, and applications in network science and statistical physics.

Explore asymptotics of invariant measures in mean-field Markov models on countable spaces. Gain insights into network science, probability theory, and applications in complex systems and data analysis.

Explore generating series of K-theoretic enumerative invariants and their relation to stability conditions in GIT quotients, focusing on elliptic central charges and wall-crossing phenomena.

Exploring mathematical models and probability to interpret the world, blending quantitative analysis with human nature insights for a unique perspective on life and investment.

Innovative extension of deep solver for FBSDEs with jumps, using neural networks to tackle high-dimensional problems in option pricing and counterparty credit risk.

Explore stack-theoretic weighted blowups and their applications in resolution of singularities, destackification, wall-crossings, and weak factorization for more natural and efficient algorithms.

Explore advanced mathematical concepts in finance: path-dependent PDEs, rough volatility, and mean field control. Gain insights from experts on convergence rates and numerical analysis in financial modeling.

Explores character sum bias over high genus curves, strengthening Stepanov-Bombieri approach. Analyzes multiplicity in function fields using new 'universal derivative-fix' lemma.