Calculus - The Fundamental Theorem, Part 3
The Fundamental Theorem of Calculus. Specific examples of simple functions, and how the antiderivative of these functions relates to the area under the graph.
From playlist Calculus - The Fundamental Theorem of Calculus
Theory of numbers: Gauss's lemma
This lecture is part of an online undergraduate course on the theory of numbers. We describe Gauss's lemma which gives a useful criterion for whether a number n is a quadratic residue of a prime p. We work it out explicitly for n = -1, 2 and 3, and as an application prove some cases of Di
From playlist Theory of numbers
Calculus 5.3 The Fundamental Theorem of Calculus
My notes are available at http://asherbroberts.com/ (so you can write along with me). Calculus: Early Transcendentals 8th Edition by James Stewart
From playlist Calculus
Calculus - The Fundamental Theorem, Part 2
The Fundamental Theorem of Calculus. A discussion of the antiderivative function and how it relates to the area under a graph.
From playlist Calculus - The Fundamental Theorem of Calculus
Descartes Rule of Signs - Upper and Lower Bounds
TabletClass Math http://www.tabletclass.com . This explains Descartes Rule of Signs. The lesson is designed to focus on on how Descartes Rule of Signs helps finds the zeros of a polynomial.
From playlist Pre-Calculus / Trigonometry
Calculus - The Fundamental Theorem, Part 1
The Fundamental Theorem of Calculus. First video in a short series on the topic. The theorem is stated and two simple examples are worked.
From playlist Calculus - The Fundamental Theorem of Calculus
Benoîte de Saporta: Stochastic modeling for population dynamics: simulation and inference - Part 1
The aim of this course is to present some examples of stochastic models suitable for population dynamics. The first part will introduce a class of continuous time models called piecewise deterministic Markov processes (PDMPs). Their trajectories are deterministic with jumps at random times
From playlist Probability and Statistics
Philippe Michel - 4/4 Automorphic forms for GL(2)
Philippe Michel - Automorphic forms for GL(2)
From playlist École d'été 2014 - Théorie analytique des nombres
Jungle - Candle Flame (Ft. Erick The Architect) (Official Video)
Candle Flame https://jungle.ffm.to/candleflame Download Volcano backgrounds, wallpapers and Candle Flame ringtones at https://junglejunglejungle.wetransfer.com/ Follow Jungle: Instagram: https://jungle.ffm.to/instagram.oyd Facebook: https://jungle.ffm.to/facebook.oyd Twitter: https://j
From playlist 🆕🎧 New Alternative 40 Chart | Updated Weekly
Pierre Monmarche: Bouncing with velocity jump process
The lecture was held within the of the Hausdorff Junior Trimester Program: Kinetic Theory Abstract: A class of velocity jump processes have emerged from stochastic algorithm motivations. The motion of a particle is similar to the case of BGK equations or to Run-and-Tumble processes that
From playlist HIM Lectures: Junior Trimester Program "Kinetic Theory"
[BOURBAKI 2019] Transition de phase abrupte en percolation via (...) - Théret - 15/06/19
Marie THÉRET Transition de phase abrupte en percolation via des algorithmes randomisés, d’après Duminil-Copin, Raoufi et Tassion Le modèle de percolation classique est le suivant : pour un paramètre p ∈ [0, 1] fixé, chaque arête du graphe Zd est conservée (resp. supprimée) avec probabili
From playlist BOURBAKI - 2019
The Fundamental Theorem of Calculus | Algebraic Calculus One | Wild Egg
In this video we lay out the Fundamental Theorem of Calculus --from the point of view of the Algebraic Calculus. This key result, presented here for the very first time (!), shows how to generalize the Fundamental Formula of the Calculus which we presented a few videos ago, incorporating t
From playlist Algebraic Calculus One
Random walks on hyperbolic groups (Lecture 1) by Sebastien Gouezel
Program Probabilistic Methods in Negative Curvature ORGANIZERS: Riddhipratim Basu, Anish Ghosh and Mahan Mj DATE: 11 March 2019 to 22 March 2019 VENUE: Madhava Lecture Hall, ICTS, Bangalore The focal area of the program lies at the juncture of three areas: Probability theory o
From playlist Probabilistic Methods in Negative Curvature - 2019
Modulo p Representations of GL_2 (K) (Lecture 2) by Benjamin Schraen
Program Recent developments around p-adic modular forms (ONLINE) ORGANIZERS: Debargha Banerjee (IISER Pune, India) and Denis Benois (University of Bordeaux, France) DATE: 30 November 2020 to 04 December 2020 VENUE: Online This is a follow up of the conference organized last year arou
From playlist Recent Developments Around P-adic Modular Forms (Online)
Proof of Lemma and Lagrange's Theorem
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Proof of Lemma and Lagrange's Theorem. This video starts by proving that any two right cosets have the same cardinality. Then we prove Lagrange's Theorem which says that if H is a subgroup of a finite group G then the order of H div
From playlist Abstract Algebra
Cyril Labbé: Localisation/delocalisation of continuous Anderson Hamiltonian in 1d
The lecture was held within the of the Hausdorff Junior Trimester Program: Randomness, PDEs and Nonlinear Fluctuations. Abstract: I will consider the 1d random Schrodinger operator obtained by perturbing the Laplacian with a white noise on a segment. I will present results on the asymptot
From playlist Workshop: Workshop: Singular SPDEs and Related Topics
This is a short, animated visual proof of Viviani's theorem, which states that the sum of the distances from any interior point to the sides of an equilateral triangle is equal to the length of the triangle's altitude. #math #geometry #mtbos #manim #animation #theorem #pww #proofwith
From playlist MathShorts
Calculus - The Fundamental Theorem, Part 4
The Fundamental Theorem of Calculus. One more specific example of simple functions, and how the antiderivative of these functions relates to the area under the graph.
From playlist Calculus - The Fundamental Theorem of Calculus
Benoîte de Saporta: Stochastic modeling for population dynamics: simulation and inference - Part 2
The aim of this course is to present some examples of stochastic models suitable for population dynamics. The first part will introduce a class of continuous time models called piecewise deterministic Markov processes (PDMPs). Their trajectories are deterministic with jumps at random times
From playlist Probability and Statistics