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Topics / Python

Scientific and math computing

43 notes.

  1. Combinatorics of Coxeter Groups in Python6 min

    Coxeter groups are mathematical structures that describe symmetries in geometric spaces. They are named after H.S.M. Coxeter and have applications in various...

  2. Commutative Algebra Slideshow with Python8 min

    Commutative algebra is a branch of mathematics that studies commutative rings and their ideals. It forms the foundation for algebraic geometry and has...

  3. Commutative Banach Algebra in Python6 min

    Commutative Banach algebras are fundamental structures in functional analysis, combining algebraic and topological properties. They are Banach spaces...

  4. Compact Lie Groups with Python10 min

    Compact Lie groups are fundamental structures in mathematics and physics, combining the properties of compactness and differentiability. They play a crucial...

  5. Control System Theory with Python12 min

    Control system theory is a fundamental aspect of engineering that deals with the behavior of dynamical systems. It focuses on how systems respond to inputs...

  6. Elementary Functional Analysis with Python10 min

    Functional analysis is a branch of mathematics that studies vector spaces and the linear operators acting on them. It combines concepts from linear algebra...

  7. Exploration of Monomial Ideals using Python7 min

    Monomial ideals are fundamental objects in commutative algebra and algebraic geometry. They are ideals generated by monomials in a polynomial ring....

  8. Exploring Abstract Algebra with Python8 min

    Abstract Algebra, also known as Modern Algebra, is a branch of mathematics that studies algebraic structures such as groups, rings, and fields. It provides a...

  9. Exploring Arithmetic of Dynamical Systems with Python6 min

    Dynamical systems are mathematical models that describe how a system changes over time. In the context of arithmetic, we focus on discrete dynamical systems...

  10. Exploring Elliptic Curve Arithmetic with Python6 min

    Elliptic curves are algebraic structures with applications in cryptography and number theory. In this presentation, we'll explore their arithmetic using...

  11. Exploring Lie Groups and Lie Algebras with Python7 min

    Lie groups are continuous symmetry groups that play a crucial role in physics and mathematics. They are named after Sophus Lie, who studied their properties...

  12. Exponential Equations and Functions Using Python5 min

    Exponential equations involve variables in the exponent. They are crucial in modeling growth and decay processes in various fields like finance, biology, and...

  13. Finite Differentiation in Python7 min

    Finite differentiation is a numerical method used to approximate derivatives of functions. It's a fundamental concept in calculus and numerical analysis...

  14. Finite Element Analysis with Python:5 min

    Finite Element Analysis is a numerical method for solving complex engineering problems. It involves dividing a large problem into smaller, simpler parts...

  15. Fluid Dynamics with Navier-Stokes Equations in Python16 min

    Fluid dynamics is the study of fluid motion, including liquids and gases. The Navier-Stokes equations are fundamental to fluid dynamics, describing the...

  16. Harmonic Function Theory with Python11 min

    Harmonic functions are solutions to Laplace's equation and play a crucial role in many areas of mathematics and physics. They are smooth functions with...

  17. Homological Algebra in Python9 min

    Homological Algebra is a branch of abstract algebra that studies algebraic structures and their properties using techniques from homology theory. It provides...

  18. Introduction to Boolean Algebra with Python4 min

    Boolean algebra is a mathematical system that deals with binary values, True and False, or 1 and 0. It provides a set of rules and operations used in...

  19. Introduction to Fuzzy Logic in Python12 min

    Fuzzy Logic is a computational approach that deals with approximate reasoning and imprecise information. It allows for degrees of truth or membership, unlike...

  20. Introduction to Mathematical Analysis in Python5 min

    Introduction to Mathematical Analysis in Python Mathematical analysis deals with the study of limits, continuity, differentiation, and integration. Python...

  21. Introduction to Model Theory with Python11 min

    Model theory is a branch of mathematical logic that studies the relationships between formal languages and their interpretations, or models. It provides a...

  22. Introduction to Nonlinear Analysis with Python10 min

    Nonlinear analysis is a branch of mathematics that deals with systems and equations that are not linear. It's crucial in various fields, including physics...

  23. Introduction to Physics with Python5 min

    Note: This is a basic outline, and you can expand on each topic or modify the code examples as needed. Additionally, you may want to include visual aids...

  24. Introduction to Signal Processing with Python4 min

    Introduction to Signal Processing with Python

  25. Iterating Rational Functions with Python7 min

    Iteration of rational functions is a powerful technique in mathematics with applications in various fields, including dynamical systems and computational...

  26. Kolmogorov Complexity and Algorithmic Randomness in Python7 min

    Kolmogorov complexity is a measure of the computational resources needed to specify an object. It quantifies the minimum length of a program that produces a...

  27. Magic Squares of Powers in Python8 min

    Magic squares have fascinated mathematicians for centuries. In this presentation, we'll explore a unique variant: magic squares of powers. We'll use Python...

  28. Mastering Brownian Motion in Python8 min

    Brownian motion is a fundamental concept in physics and mathematics, describing the random motion of particles suspended in a fluid. This phenomenon was...

  29. Mathematical Logic with Python5 min

    Mathematical logic is the study of formal systems for reasoning. It combines mathematics and logic to create a powerful framework for analyzing and solving...

  30. Matrices in Python: Theory and Applications4 min

    Matrices are rectangular arrays of numbers, symbols, or expressions arranged in rows and columns. They are fundamental in linear algebra and have widespread...