Applied mathematics

The material collected in this volume reflects the active present of this area of mathematics, ranging from the abstract theory of gradient flows to stochastic representations of non-linear parabolic PDE's.

COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This comprehensive yet accessible book introduces students to financial markets and delves into more advanced material at a steady pace while providing motivating examples, poignant remarks, counterexamples, ideological clashes, and intuitive traps throughout.

Computer science and physics have been closely linked since the birth of modern computing.

Object-Oriented Graphics Programming in C++ provides programmers with the information needed to produce realistic pictures on a PC monitor screen.

This book offers the reader a journey through the counterintuitive nature of Brownian motion under confinement.

This book provides an up-to-date series of advanced chapters on applied financial econometric techniques pertaining the various fields of commodities finance, mathematics & stochastics, international macroeconomics and financial econometrics.

This revised edition provides updated fluid mechanics measurement techniques as well as a comprehensive review of flow properties required for research, development, and application.

This book focuses on counting processes and continuous-time Markov chains motivated by examples and applications drawn from chemical networks in systems biology.

A comprehensive guide to the current theories and methodologies intrinsic to fixed-income securities Written by well-known experts from a cross section of academia and finance, Handbook of Fixed-Income Securities features a compilation of the most up-to-date fixed-income securities techniques and methods.

An increasing number of statistical problems and methods involve infinite-dimensional aspects.

Advances in Computers, Volume 112, the latest volume in a series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design and applications.

The first edition of this award-winning book attracted a wide audience.

This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series.

An innovative lab book providing a unified methodology for problem solving in structural geology using linear algebra and computation.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

A concise and self-contained 2010 introduction to the theory of graph spectra and its applications to the study of complex networks.

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management.

Updated to include recent advances, this third edition presents strategies and analysis methods for conserving energy and reducing operating costs in residential and commercial buildings.

This book depicts graph labelings that have led to thought-provoking problems and conjectures.

Long employed in electrical engineering, the discrete Fourier transform (DFT) is now applied in a range of fields through the use of digital computers and fast Fourier transform (FFT) algorithms.

Stochastik ist die Mathematik des Zufalls.

The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses (in probability and/or statistics).

This book is among the first to present the mathematical models most commonly used to solve optimal execution problems and market making problems in finance.

This two-volume work introduces the theory and applications of Schur-convex functions.

This book discusses group theoretical methods and their applications in physics, chemistry, and biology.

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression.

The book Partial Differential Equations through Examples and Exercises has evolved from the lectures and exercises that the authors have given for more than fifteen years, mostly for mathematics, computer science, physics and chemistry students.

Originally published in 1979.

As the most important parts of rotating machinery, rotors are also the most prone to mechanical vibrations, which may lead to machine failure.

A concise, elementary introduction to measure and integration theory, requiring few prerequisites as theory is developed quickly and simply.

Inverse problems of spectral analysis consist in recovering operators from their spectral characteristics.

Piece-wise and Max-Type Difference Equations: Periodic and Eventually Periodic Solutions is intended for lower-level undergraduate students studying discrete mathematics.

This unique textbook combines traditional geometry presents a contemporary approach that is grounded in real-world applications.

This book is a text on partial differential equations (PDEs) of mathematical physics and boundary value problems, trigonometric Fourier series, and special functions.

Enclosure Fire Dynamics, Second Edition explores the science of enclosure fires and how they cause changes in the environment of a building on fire.

This book provides a captivating journey through the realms of classical and quantum systems as it unravels the profound influence that noise may have on their static and dynamic properties.

Stability of NonLinear Shells is a compilation of the author's work on analyzing the behaviour of spherical caps and related shell structures under various (axisymmetric) load systems.

Introduces various modeling and simulation methods and paradigms that are used to explain and solve the predominant challenges facing society Handbook of Real-World Applications in Modeling and Simulation provides a thorough explanation of modeling and simulation in the most useful, current, and predominant applied areas of transportation, homeland security, medicine, operational research, military science, and business modeling.

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation.

Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc.

Problems concerning non-classical elastic solids continue to attract the attention of mathematicians, scientists and engineers.

Presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing.

This new volume, Design and Construction of Laboratory Gas Pipelines: A Practical Reference for Engineers and Professionals, focuses on design and installation of laboratory gas pipelines.

Covers the fundamental aspects of the classical theory and introduces significant recent developments.