Birational geometry | 3-folds | Algebraic geometry

Minimal model program

In algebraic geometry, the minimal model program is part of the birational classification of algebraic varieties. Its goal is to construct a birational model of any complex projective variety which is as simple as possible. The subject has its origins in the classical birational geometry of surfaces studied by the Italian school, and is currently an active research area within algebraic geometry. (Wikipedia).

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Minimal Surfaces—The Shapes That Help Us Understand Black Holes

In this video I talk about minimal surfaces and how you can do your own experiment to prove if something is a minimal surface. I talk about why minimal surfaces are important in math and physics and show you some neat experiments to make several minimal surfaces at home The STL file for t

From playlist Amazing 3D Printed Objects

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(ML 13.1) Directed graphical models - introductory examples (part 1)

Introduction to (directed) graphical models. Simple examples to motivate the concept.

From playlist Machine Learning

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(ML 13.2) Directed graphical models - introductory examples (part 2)

Introduction to (directed) graphical models. Simple examples to motivate the concept.

From playlist Machine Learning

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(ML 13.3) Directed graphical models - formalism (part 1)

Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.

From playlist Machine Learning

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Model Theory - part 01 - The Setup in Classical Set Valued Model Theory

Here we give the basic setup for Model Theory. I learned this from a talk Tom Scanlon gave in 2010 at CUNY.

From playlist Model Theory

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(ML 13.4) Directed graphical models - formalism (part 2)

Definition of a directed graphical model, or more precisely, what it means for a distribution to respect a directed acyclic graph.

From playlist Machine Learning

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How to find the best model parameters in scikit-learn

In this video, you'll learn how to efficiently search for the optimal tuning parameters (or "hyperparameters") for your machine learning model in order to maximize its performance. I'll start by demonstrating an exhaustive "grid search" process using scikit-learn's GridSearchCV class, and

From playlist Machine learning in Python with scikit-learn

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How to Make a Simple 3D Modeling Program | OpenGL Tutorial

Thank you for watching my first programming tutorial! My goal was to make a video tutorial that was different, fun, and entertaining to watch and hopefully learn something from. I apologize for moving so fast, but I felt an 8 minute video that you can pause, study, and learn from is better

From playlist 3D Programming

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Explosion and Minimal Logic

Minimal logic, or minimal calculus, is an intuitionistic and paraconsistent logic, that rejects both the Law of Excluded Middle (LEM) as well as the Principle Of Explosion (Ex Falso Quodlibet, EFQ). https://en.wikipedia.org/wiki/Minimal_logic https://en.wikipedia.org/wiki/Principle_of_exp

From playlist Logic

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Interaction between singularity theory and the minimal model program – Chenyang Xu – ICM2018

Algebraic and Complex Geometry Invited Lecture 4.5 Interaction between singularity theory and the minimal model program Chenyang Xu Abstract: We survey some recent topics on singularities, with a focus on their connection to the minimal model program. This includes the construction and p

From playlist Algebraic & Complex Geometry

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Simon Lacoste-Julien: Apprentissage statistique et big data : notions de base pour l'analyse [...]

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Mathematical Aspects of Computer Science

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Introduction to Optimization

A very basic overview of optimization, why it's important, the role of modeling, and the basic anatomy of an optimization project.

From playlist Optimization

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TensorFlow TFLearn Tutorial For Beginners | Deep Learning | Edureka | Deep Learning Rewind - 4

🔥Edureka Tensorflow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow This Edureka TensorFlow TFLearn Tutorial video (Blog: https://goo.gl/4zxMfU) will help you in understanding basics of TFLearn with examples. Check our complete Deep Learning With TensorFlow playlist her

From playlist Edureka Live Classes 2020

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“Choice Modeling and Assortment Optimization” - Session II - Prof. Huseyin Topaloglu

This module overviews static and dynamic assortment optimization problems. We will start with an introduction to discrete choice modeling and discuss estimation issues when fitting a choice model to observed sales histories. Following this introduction, we will discuss static and dynamic a

From playlist Thematic Program on Stochastic Modeling: A Focus on Pricing & Revenue Management​

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Optimisation - an introduction: Professor Coralia Cartis, University of Oxford

Coralia Cartis (BSc Mathematics, Babesh-Bolyai University, Romania; PhD Mathematics, University of Cambridge (2005)) has joined the Mathematical Institute at Oxford and Balliol College in 2013 as Associate Professor in Numerical Optimization. Previously, she worked as a research scientist

From playlist Data science classes

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Marco Di Summa: Cut generating functions

Abstract: The theory of cut generating functions is a tool for deriving automatically cutting planes in mixed integer programming. In this talk I will present the basic ideas of this theory and illustrate how it leads to the study of subadditive functions. In particular, we discuss the imp

From playlist HIM Lectures: Trimester Program "Combinatorial Optimization"

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Introduction to Least Squares Regression Method Using Python | Machine Learning Algorithm | Edureka

🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka session on Least Squares Regression Method will help you understand the math behind Regression Analysis and how it can be impleme

From playlist Python Programming Tutorials | Edureka

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Complex surfaces 2: Minimal surfaces

This talk is part of a series about complex surfaces, and explains what minimal surfaces are. A minimial surfaces is one that cannot be obtained by blowing up a nonsingular surfaces at a point. We explain why every surface is birational to a minimal nonsingular projective surface. We disc

From playlist Algebraic geometry: extra topics

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Johannes Nicaise: The non-archimedean SYZ fibration and Igusa zeta functions - part 3/3

Abstract : The SYZ fibration is a conjectural geometric explanation for the phenomenon of mirror symmetry for maximal degenerations of complex Calabi-Yau varieties. I will explain Kontsevich and Soibelman's construction of the SYZ fibration in the world of non-archimedean geometry, and its

From playlist Algebraic and Complex Geometry

Related pages

Cone of curves | Birational geometry | Fano fibration | Smooth scheme | Abundance conjecture | Guido Castelnuovo | Italian school of algebraic geometry | Ample line bundle | Contraction morphism | Kodaira dimension | Projective variety | Algebraic geometry | Nef line bundle | Isomorphism | Castelnuovo's contraction theorem