Introduction to a Renormalisation Group Method (Lecture Notes in Mathematics (2242)) [1st ed. 2019] 9813295910, 9789813295919

Introduction to a Renormalisation Group Method [1st ed. 2019] 978-981-32-9591-9, 978-981-32-9593-3

This is a primer on a mathematically rigorous renormalisation group theory, presenting mathematical techniques fundament

308 37 4MB Read more

Mean Field Games: Cetraro, Italy 2019 (Lecture Notes in Mathematics) [1st ed. 2020] 3030598365, 9783030598365

This volume provides an introduction to the theory of Mean Field Games, suggested by J.-M. Lasry and P.-L. Lions in 2006

174 57 4MB Read more

GeeksForGeeks Engineering Mathematics Lecture Notes

983 133 1MB Read more

Introduction to Algorithms Lecture Notes (MIT 6.006)

1,531 227 18MB Read more

Math 8 Lecture Notes (Introduction to Advanced Mathematics) [version 7 Jun 2018 ed.]

617 189 340KB Read more

Lecture Notes in Engineering: Introduction to Linearized Elasticity 9783110789515, 9783110789423

These lecture notes deal with the behavior of elastic bodies subject to small displacement gradients, namely their linea

147 6 6MB Read more

Spectral Analysis on Graph-like Spaces (Lecture Notes in Mathematics, Vol. 2039) (Lecture Notes in Mathematics, 2039) 9783642238390, 9783642238406, 3642238394

Small-radius tubular structures have attracted considerable attention in the last few years, and are frequently used in

135 11 5MB Read more

Laplacian Growth on Branched Riemann Surfaces (Lecture Notes in Mathematics) [1st ed. 2021] 3030698629, 9783030698621

This book studies solutions of the Polubarinova–Galin and Löwner–Kufarev equations, which describe the evolution of a vi

172 31 1MB Read more

Séminaire de Probabilités LI (Lecture Notes in Mathematics, 2301) [1st ed. 2022] 3030964086, 9783030964085

This volume presents a selection of texts that reflects the current research streams in probability, with an interest to

160 32 3MB Read more

The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning (Lecture Notes in Mathematics) [1st ed. 2021] 3030775615, 9783030775612

Can artificial intelligence learn mathematics? The question is at the heart of this original monograph bringing together

186 22 2MB Read more