This book provides a single source for both students and advanced researchers on asymptotic methods employed in the linear problems of mathematical physics.
The Four Corners of Mathematics: A Brief History, from Pythagoras to Perelman describes the historical development of the 'big ideas' in mathematics in an accessible and intuitive manner.
This popular textbook provides a detailed examination of the central assertions of measure theory in n-dimensional Euclidean space, with emphasis upon the roles of Hausdorff measure and capacity in characterizing the fine properties of sets and functions.
In today's healthcare landscape, there is a pressing need for quantitative methodologies that include the patients' perspective in any treatment decision.
The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16-17 February 2024 in Guwahati, India.
Dieses Arbeits- und Übungsbuch zur Wirtschaftsmathematik eignet sich zum Selbststudium und zur intensiven Prüfungsvorbereitung innerhalb eines wirtschaftswissenschaftlichen Studiums.
Dieses Arbeits- und Übungsbuch zur Wirtschaftsmathematik eignet sich zum Selbststudium und zur intensiven Prüfungsvorbereitung innerhalb eines wirtschaftswissenschaftlichen Studiums.
Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels.
Dynamical Systems for Biological Modeling: An Introduction prepares both biology and mathematics students with the understanding and techniques necessary to undertake basic modeling of biological systems.
Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization.
Iterative Optimization in Inverse Problems brings together a number of important iterative algorithms for medical imaging, optimization, and statistical estimation.
Dieses Lehrbuch baut anhand vieler praktischer Beispiele auf Kenntnissen im Bachelorstudium der Ingenieurwissenschaften auf mit vorhandenen Grundkenntnissen in Linearer Algebra und Analysis.
This book proposes a novel approach to the study of Diophantine equations: define an appropriate version of the equation's size, order all polynomial Diophantine equations by size, and then solve the equations in order.
This book aims to develop high school and undergraduate students' covariational reasoning and algebraic skills to succeed in calculus and STEM subjects.
This book aims to develop high school and undergraduate students' covariational reasoning and algebraic skills to succeed in calculus and STEM subjects.
A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection of mathematical techniques to solve important problems in applied mathematics and computer science areas.
The second edition of Reverse Engineering of Algebraic Inequalities is a comprehensively updated new edition demonstrating the exploration of new physical realities in various unrelated domains of human activity through reverse engineering of algebraic inequalities.
This book proposes a novel approach to the study of Diophantine equations: define an appropriate version of the equation's size, order all polynomial Diophantine equations by size, and then solve the equations in order.
This book traces the history of the MIT Department of Mathematics-one of the most important mathematics departments in the world-through candid, in-depth, lively conversations with a select and diverse group of its senior members.
Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and ModelingSince the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data.
A symbol of the Divine, a good luck charm, a cosmogram of the world order, a template for fengshui-through the ages, the luoshu, or magic squre of order three, has fascinated people of many different cultures.
The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICEDT-2024) held during 16-17 February 2024 in Guwahati, India.
Using theory, applications, and examples of inferences, Niche Modeling: Predictions from Statistical Distributions demonstrates how to conduct and evaluate niche modeling projects in any area of application.
Microlocal Analysis has proven to be a powerful tool for analyzing and solving inverse problems; including answering questions about stability, uniqueness, recovery of singularities, etc.
This comprehensive and updated new edition offers scholarly summaries of theory and research on the social psychological influences on subjective well-being and life satisfaction.
This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering.
Adding new results that have appeared in the last 15 years, Dictionary of Inequalities, Second Edition provides an easy way for researchers to locate an inequality by name or subject.
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective.
This book provides a comprehensive review of the latest developments in optimization based learning algorithms within the field of electrical engineering.
This book explains the physical principles and theoretical basis of acoustics of nanofluids with mathematical rigor, focusing on concepts and points of view that have proven effective in applications such as heat transfer, petroleum science and technology, wastewater treatment, food processing, and hydrogen production.
The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities.
This book delves into the realm of nonparametric estimations, offering insights into essential notions such as probability density, regression, Tsallis Entropy, Residual Tsallis Entropy, and intensity functions.
