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Introduction to Philosophy
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Learn the basics of Computer Science from Harvard's Prof. David Malan in this engaging 39-minute video. Discover key concepts and gain insights into the world's most popular edX course.
Experience a realistic Cambridge mathematics admissions interview with Dr Tom Crawford, revealing the interview process and expectations for prospective undergraduate students.
Explore inner product spaces, bilinear forms, and orthonormal sets in linear algebra. Learn key concepts and proofs with practical examples and exercises to enhance understanding.
Comprehensive exploration of rank and nullity concepts, including definitions, examples, and a step-by-step proof of the Rank Nullity Theorem in linear algebra.
Explore linear transformations with Oxford mathematician Dr Tom Crawford, covering definitions, properties, and examples in R3, including matrix multiplication and differentiation.
Learn the Gram-Schmidt Process for creating orthonormal vector sets. Covers definition, steps, calculations, and examples in 2D plane and polynomial inner product space.
Explore complex mathematics behind the Multiverse Library, focusing on branch cuts and multifunctions. Learn about holomorphic branches of complex logarithms and square root functions in this engaging mathematical journey.
Comprehensive explanation of direct sum of vector spaces with worked examples. Learn formal definitions, alternative representations, and how to verify direct sums through intersection and spanning checks.
Explore the dimension formula for vector spaces through worked examples and a complete proof. Learn to calculate dimensions of subspaces and their intersections in R^4.
Explore key concepts in linear algebra: basis, spanning, and linear independence. Learn through intuitive examples and formal definitions, with worked problems in vector spaces and Cartesian planes.
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.
Comprehensive explanation of subspace test in vector spaces, including definition, examples, and applications. Includes worked problems and links to additional resources for practice.
Explore vector space axioms with concrete examples, including addition and scalar multiplication maps, 8 key axioms, and proofs for 3D coordinate vectors. Gain insights into unique properties of vector spaces.
Explore the mathematics behind Pokémon's catch rate formula with Oxford mathematician Dr Tom Crawford. Learn how variables like HP, status effects, and ball types influence capture probability.
Comprehensive proof of the Spectral Theorem for real symmetric matrices, demonstrating real eigenvalues and diagonalization using eigenvector basis. Includes step-by-step explanation and mathematical reasoning.
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