YELLOW SALES SPRINGER - 2023

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Space-Time Geometries for Motion and Perception in the Brain and the Arts

Graphs and Combinatorial Optimization: from Theory to Applications: CTW2020 Proceedings

The Geometric Hopf Invariant and Surgery Theory

Finite Elements I: Approximation and Interpolation

Risk Theory techniques actuarielles assurance vie

Geometric Representation Theory and Gauge Theory: Cetraro, Italy 2018

Mathematical Modeling of the Human Brain: From Magnetic Resonance Images to Finite Element Simulatio

Motion and Genetic Definitions in the Sixteenth-Century Euclidean Tradition

Extrinsic Geometry of Foliations

Essentials of Integration Theory for Analysis

Arbres Pour l'Algorithmique

Undergraduate Algebra: A Unified Approach

Discrete Mathematics and Applications

Analysis in Banach Spaces

Modern Approaches to Discrete Curvature

Infectious Diseases and Our Planet

Introduction to a Renormalisation Group Method

A First Course in Differential Equations 3rd ed

The Moment-Weight Inequality and the Hilbert-Mumford Criterion: GIT from the Differential Geometric

Quantum States of Light

Computer Algebra: An Algorithm-Oriented Introduction

LINEAR ALGEBRA

Certified Reduced Basis Methods for Parametrized Partial Differential Equations

A Course in Calculus and Real Analysis

Introduction to Numerical Methods for Variational Problems

Mathematical and Statistical Methods for Multistatic Imaging

Mathematics (Education) in the Information Age

Mathematical Analysis II

Loewner's Theorem on Monotone Matrix Functions

Stochastic Approaches to Electron Transport in Micro- and Nanostructures

The Theory of Near-Rings - Anneaux algebre

Deterministic, Stochastic and Thermodynamic Modelling of some Interacting Species

Crowd Dynamics, Volume 1: Theory, Models, and Safety Problems

Topology Calculus and Approximation

Number Fields

Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence

Probability Theory and Stochastic Processes

Complex Analysis with Applications

Advances in Data Science

From Operator Theory to Orthogonal Polynomials, Combinatorics, and Number Theory: A Volume in Honor

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