Applied mathematics

Digital Signal Processing for Measurement Systems: Theory and Applications covers the theoretical as well as the practical issues which form the basis of the modern DSP-based instruments and measurement methods.

This handbook presents the key topics in the area of computer architecture covering from the basic to the most advanced topics, including software and hardware design methodologies.

Spirals, vortices, crystalline lattices, and other attractive patterns are prevalent in Nature.

Engineering Analysis: Advanced Mathematical Methods for Engineers introduces graduate engineering students to the fundamental but advanced mathematics tools used in engineering application, especially in mechanical, aerospace, and civil engineering.

This book presents the latest breakthroughs and cutting-edge advancements within this rapidly evolving field.

In the past three decades, considerable progress has been made in the mathematical analysis, modelling, and simulation of the fluid dynamics of liquid capsules and biological cells, and interest in this area is now at an all-time high.

This self-contained book systematically explores the statistical dynamics on and of complex networks with a special focus on time-varying networks.

Provides an introduction to the modeling, analysis, design, measurement and real-world applications of vibrations, with online interactive graphics.

Based on a course given at Oxford over many years, this book is a short and concise exposition of the central ideas of general relativity.

By making use of the principles of systems science, the scientific community can explain many complicated matters of the world and shed new light on unsettled problems.

The electric power industry is currently undergoing an unprecedented reform.

This book provides structural reliability and design students with fundamental knowledge in structural reliability, as well as an overview of the latest developments in the field of reliability engineering.

The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc.

Chapter 1 poses 134 problems concerning real and complex numbers, chapter 2 poses 123 problems concerning sequences, and so it goes, until in chapter 9 one encounters 201 problems concerning functional analysis.

This book features original papers from 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), jointly organized by National Institute of Technology, Silchar, India, during 8-9 October 2020.

by Sara van de Geer.

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.

This book presents the principles and methods for the practical analysis and prediction of economic and financial time series.

Numerical Methods for Unsteady Compressible Flow Problems is written to give both mathematicians and engineers an overview of the state of the art in the field, as well as of new developments.

Reliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field.

This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory.

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation.

Presents interplays between numerical approximation and statistical inference as a pathway to simple solutions to fundamental problems.

This book provides a platform for international scholars to share evidence for effective practices in integrated STEM education and contributes to the theoretical and practical knowledge gained from the diversity of approaches.

A fundamental introduction to the delopment of random signal processing with an emphasis on analysis.

This textbook integrates scientific programming with the use of R and uses it both as a tool for applied problems and to aid in learning calculus ideas.

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty - i.

This book is devoted to the PSI method.

The origin of this book lies in an invitation to give a series of lectures on Malliavin calculus at the Probability Seminar of Venezuela, in April 1985.

This book examines the digital transformation of identity in the age of artificial intelligence.

Focussing on the manipulation and representation of geometrical objects, this book explores the application of geometry to computer graphics and computer-aided design (CAD).

in failure time distributions for systems modeled by finite chains.

This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms.

Environmental Fluid Mechanics provides comprehensive coverage of a combination of basic fluid principles and their application in a number of different situations-exploring fluid motions on the earth's surface, underground, and in oceans-detailing the use of physical and numerical models and modern computational approaches for the analysis of environmental processes.

Searching is an important process in most AI systems, especially in those AI production systems consisting of a global database, a set of production rules, and a control system.

What do yin-yang and the Lorenzian butterfly in chaos have in common?

Articles in this collection discuss basic concepts and modern developments in the field.

It is known that to any Riemannian manifold (M, g ) , with or without boundary, one can associate certain fundamental objects.

The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields.

This book presents the basic algorithms, the main theoretical results, and some applications of spectral methods.

This book contains a detailed presentation of general principles of sensitivity analysis as well as their applications to sample cases of remote sensing experiments.

Written for chemical, mechanical, and aerospace engineering students taking courses on heat and mass transfer, this textbook presents the basics and proceeds to the required theory and its application aspects.