Mathematics

Inverse problems lie at the core of scientific discovery, enabling us to determine causes from observed consequences.

How Geometric Algebra can naturally serve for constructing solutions for pattern recognition, machine learning, data compression, games, robotics, quantum computing, data encoding, to cite a few.

What happens if you fall into a black hole?

In addition to covering the essentials, the author's intention in writing this text is to entice the reader to further study mathematical logic.

Designed as a self-contained text, this book covers a wide spectrum of topics on portfolio theory.

This edited volume gathers contributions from international scholars focusing on social media's role and impact on mathematics education.

The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration.

This book introduces a unified implementation of bond- and state-based peridynamic theory (PD) within a commercial finite element framework, Ansys, utilizing its native elements.

The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024.

This book explores the urgent quest for sustainable energy solutions by examining potential renewable energy sources that meet global demands.

In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data.

This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment.

This edited book provides a comprehensive framework for the integration of mathematical methodologies into biological research, emphasizing applications that directly address topics related to SDG 3 (Good Health and Well Being) and SDG 6 (Clean Water and Sanitation).

This book provides an introduction to methods for practically solving mathematical problems, such as solving systems of linear equations, determining eigenvalues, approximating and integrating functions, solving nonlinear equations, and the approximate solution of ordinary differential equations.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

This book is devoted to the study of the turnpike phenomenon arising in optimal control theory.

A gentle introduction to some of the most useful mathematical concepts that should be in your developer toolbox.

Dieses Handbuch gibt einen aktuellen Überblick über Forschungsgebiete der Mathematikdidaktik.

This book collects the lecture notes of the Summer School on Convex Geometry, held in Cetraro, Italy, from August 30th to September 3rd, 2021.

This fascinating book begins with fundamental definitions and notations of urn models before moving on to stochastic processes and applications of urn models in the field of finance.

This book of peer-reviewed short papers on methodological and applied statistics and demography is the third of four volumes from the 52nd Scientific Meeting of the Italian Statistical Society (SIS 2024), held in Bari, Italy, on June 17-20, 2024.

This monograph introduces a new mathematical model in population dynamics that describes two species sharing the same environmental resources in a situation of open hostility.

This book is interdisciplinary and unites several areas of applied probability, statistics, and computational mathematics including computer experiments, optimal experimental design, and global optimization.

Monte Carlo Methods are among the most used, and useful, computational tools available today.

This book deals with extreme value theory for univariate and multivariate time series models characterized by power-law tails.

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive textbook.

This volume presents a comprehensive compilation of chapters whose topics were presented at the 2nd International Conference on Mathematical Analysis and Application in Modeling (CMAAM-2023), held at the Department of Mathematics & the Center for Mathematical Biology and Ecology, Jadavpur University, Kolkata, West Bengal, India, from 9-11 October 2023.

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under uncertainty.

This book presents peer-reviewed short papers on methodological and applied statistical research presented at the Italian Statistical Society’s international conference on “Statistics for Innovation”, SIS 2025, held in Genoa, Italy, June 16-18, 2025.

This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving.

This book provides readers with a comprehensive guide to designing rigorous and effective network science tools using the statistical software platforms Stata, R, and Python.

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis.

This textbook offers a self-contained introduction to probability, covering all topics required for further study in stochastic processes and stochastic analysis, as well as some advanced topics at the interface between probability and functional analysis.

This book is about how statistics play a role in life, whether in business, psychology, biology, economics, or just about anything short of basket weaving.

This book provides an introduction to categorical Donaldson-Thomas (DT) theory, a rapidly developing field which has close links to enumerative geometry, birational geometry, geometric representation theory and classical moduli problems in algebraic geometry.

This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography.

This book examines statistical models for frequency data.

This book provides an accessible introduction to the theory of L-functions, emphasising their central role in number theory and their direct applications to key results.

Spectral properties for Schrodinger operators are a major concern in quantum mechanics both in physics and in mathematics.

This book introduces the gamma-divergence, a measure of distance between probability distributions that was proposed by Fujisawa and Eguchi in 2008.

This book presents a comprehensive, innovative, integrated, and empirically effective system for cross-sectionally analyzing prices of government bonds (GBs) and corporate bonds (CBs) to timely obtain practically useful information on yield curves and default curves.

This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data.

This book focuses on the study of the volume of vector fields on Riemannian manifolds.

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4-9, 2023.

This textbook provides an introduction to the mathematical methods used to analyse deterministic models in life sciences, including population dynamics, epidemiology and ecology.

This book constitutes the refereed proceedings of the 2nd International Conference, ITMM 2023 and 14th International Workshop, WRQ 2023, held in Tomsk, Russia, during December 4-9, 2023.

This book is devoted to real analysis methods for the problem of constructing Markov processes with boundary conditions in probability theory.