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Bieske T: Elementary Real Analysis

Elementary Real Analysis

A Practical Introduction

AK Peters/CRC Recreational Mathematics Series

Overlooked and Omitted Topics in Mathematics

I Wish They'd Taught Me That

This book is a concise, self-contained treatment of the finite element method and all the computational techniques needed for its efficient use and practical implementation. It describes many practical engineering analysis solution techniques applied in various industries.

This book is a concise, self-contained treatment of the finite element method and all the computational techniques needed for its efficient use and practical implementation. It describes many practical engineering analysis solution techniques applied in various industries.

What Every Engineer Should Know About Computational Techniques of Finite Element Analysis

A Second Course in Functional Analysis

The Analyst’s Gambit

Elements in the Philosophy of Mathematics

"This Element introduces a young field, the 'philosophy of mathematical practice'. We first offer a general characterisation of the approach to the philosophy of mathematics that takes mathematical practice seriously and contrast it with 'mathematical philosophy'. The latter is traced back to Bertrand Russell and the orientation referred to as 'scientific philosophy' that was active between 1850 and 1930. To give a better sense of the field, the Element further contains two examples of topics studied, that of mathematical structuralism and visual thinking in mathematics. These are in part presented from a methodological point of view, focussing on mathematics as an activity and questions related to how mathematics develops. In addition, the Element contains several examples from mathematics, both historical and contemporary, to illustrate and support the philosophical points"--

The Element introduces the philosophy of mathematical practice, which takes mathematical practice and contrasts it with mathematical philosophy, a term traced back to Bertrand Russell's scientific philosophy. It discusses mathematical structuralism and visual thinking, focusing on methodological aspects and historical and contemporary examples.

Introducing the Philosophy of Mathematical Practice

Introduction to Qualitative Methods for Differential Equations provides an alternative approach to teaching and understanding differential equations.

Introduction to Qualitative Methods for Differential Equations provides an alternative approach to teaching and understanding differential equations.

Introduction to Qualitative Methods for Differential Equations

Theory of Stochastic Integrals aims to provide an answer to the problem of phenomena that cannot be analyzed through the classical Itô theory by introducing readers to the study of some interpretations of stochastic integrals with respect to stochastic processes that are not necessarily semimartingales.

Theory of Stochastic Integrals aims to provide an answer to the problem of phenomena that cannot be analyzed through the classical Itô theory by introducing readers to the study of some interpretations of stochastic integrals with respect to stochastic processes that are not necessarily semimartingales.

Theory of Stochastic Integrals

Chapman & Hall/CRC Monographs and Research Notes in Mathematics

Convex Analysis in Polynomial Spaces with Applications

Cambridge Monographs on Applied and Computational Mathematics

Unlock the potential of computational fluid dynamics with this essential guide for master's and graduate students, and researchers. It explores the immersed boundary method (IBM), a revolutionary approach for simulating flows in complex geometries. With a focus on fluid/structure interaction, it examines theoretical principles and practical implementations, offering insights into tackling intricate geometries and enhancing simulation accuracy. The book features a series of numerical examples that increase in complexity, and is accompanied by the source code, allowing readers to replicate results and deepen their understanding. Whether you're wanting to refine your skills or embark on new research, this introduction will empower you to master the art of complex flow simulations.

An Introduction to Immersed Boundary Methods

This comprehensive compendium addresses a critical need in the AI and machine learning era by bridging foundational information theory (IT) concepts with practical applications in statistical learning. Unlike traditional IT textbooks, this volume emphasizes how IT principles, such as entropy and source coding, underpin modern machine learning techniques like cross-entropy, decision trees, and evidence-lower bounds.This unique book connects IT with probabilistic inference, illustrated through real-world applications, such as decoding LDPC codes for error correction. The inclusion of the Lea probabilistic programming package is particularly valuable for pedagogy, offering students a hands-on tool to solve numerical problems and reinforce theoretical concepts.The useful reference text benefits professionals, researchers, academics and students in the fields of calculus and probability, communications and information sciences.

Introduction To Information Theory And Probabilistic Inference, An

De Gruyter Series in Nonlinear Analysis and Applications

Well-Posedness and Stabilizability

Distributional Nonlinear Wave Equations

This book presents contemporary mathematical concepts and techniques including theories of summability, fixed point and non-absolute integration and applications, providing an overview of recent developments in the foundations of the field as well as its applications.

Summability, Fixed Point Theory and Generalized integrals with Applications

Elementary Real Analysis

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