Numerical analysis

The book provides the geoscientific context, that arises in gravimetric/magnetometric exploration.

This book covers the experimental and theoretical study of convection in non-isothermal ferro-nanofluids (FNFs).

This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing.

The book is made up by several worked out problems concerning the application of reduced order modeling to different parametric partial differential equations problems with an increasing degree of complexity.

Numerous problems from diverse disciplines can be converted using mathematical modeling to an equation defined on suitable abstract spaces usually involving the n-dimensional Euclidean space or Hilbert space or Banach Space or even more general spaces.

The recent development of the fuzzy set theory has given scientists the opportunity to model under conditions which are vague or not precisely defined, thus succeeding to solve mathematically problems whose statements are expressed in our natural language.

Numerical software is central to our computerized society.

Here is your in-depth guide to cryptography and cryptanalysis in Java.

Familiarize yourself with Scilab using this concise, practical tutorial that is focused on writing code to learn concepts.

Random Number Generators, Principles and Practices has been written for programmers, hardware engineers, and sophisticated hobbyists interested in understanding random numbers generators and gaining the tools necessary to work with random number generators with confidence and knowledge.

This textbook provides an accessible and concise introduction to numerical analysis for upper undergraduate and beginning graduate students from various backgrounds.

Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs.

This textbook provides an accessible and concise introduction to numerical analysis for upper undergraduate and beginning graduate students from various backgrounds.

This book introduces parabolic wave equations, their key methods of numerical solution, and applications in seismology and ocean acoustics.

This book presents broadly applicable methods for the large deviation and moderate deviation analysis of discrete and continuous time stochastic systems.

ACMES (Algorithms and Complexity in Mathematics, Epistemology, and Science) is a multidisciplinary conference series that focuses on epistemological and mathematical issues relating to computation in modern science.

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second order backward stochastic differential equations, and path dependent partial differential equations.

This text presents a highly original treatment of the fundamentals of FEM, developed using computer algebra, based on undergraduate-level engineering mathematics and the mechanics of solids.

This is the first book to cover GRASP (Greedy Randomized Adaptive Search Procedures), a metaheuristic that has enjoyed wide success in practice with a broad range of applications to real-world combinatorial optimization problems.

This book guides undergraduate students in the use of Maxima-a computer algebra system-in solving problems in classical mechanics.

Numerical partial differential equations (PDEs) are an important part of numerical simulation, the third component of the modern methodology for science and engineering, besides the traditional theory and experiment.

This monograph presents a novel numerical approach to solving partial integro-differential equations arising in asset pricing models with jumps, which greatly exceeds the efficiency of existing approaches.

This book presents a comprehensive and self-contained treatment of the authors' newly developed scalable algorithms for the solutions of multibody contact problems of linear elasticity.

This volume is an excellent resource for professionals in various areas of applications of mathematics, modeling, and computational science.

This richly illustrated textbook explores the amazing interaction between combinatorics, geometry, number theory, and analysis which arises in the interplay between polyhedra and lattices.

Completely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, those working in quantitative and mathematical finance.

This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics.

This book presents the authors' recent work on the numerical methods for the stability analysis of linear autonomous and periodic delay differential equations, which consist in applying pseudospectral techniques to discretize either the solution operator or the infinitesimal generator and in using the eigenvalues of the resulting matrices to approximate the exact spectra.

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science.

This textbook is a thorough, accessible introduction to advanced digital Fourier analysis for advanced students.

The implicit function theorem is one of the most important theorems in analysis and its many variants are basic tools in partial differential equations and numerical analysis.

This book presents fundamental concepts and seminal results to the study of vortex filaments in equilibrium.

With applications to climate, technology, and industry, the modeling and numerical simulation of turbulent flows are rich with history and modern relevance.

Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts.

This textbook presents the concepts and tools necessary to understand, build, and implement algorithms for computing elementary functions (e.

This textbook offers theoretical and practical knowledge of the finite element method.

This text will be divided into two books which cover the topic of numerical partial differential equations.

This book provides an introduction to the theory of dynamical systems with the aid of the Maple algebraic manipulation package.

This book describes the contemporary state of the theory and some numerical aspects of inverse problems in partial differential equations.

Master the C code appropriate for numerical methods and computational modeling, including syntax, loops, subroutines, and files.

Advance your understanding of generic data structures and algorithms and their applications using Go and the effective use of concurrency.

Employ essential tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies.

Here is your in-depth guide to cryptography and cryptanalysis in Java.

Apply C++ to programming problems in the financial industry using this hands-on book, updated for C++20.

Master the C code appropriate for numerical methods and computational modeling, including syntax, loops, subroutines, and files.

Employ the essential and hands-on tools and functions of MATLAB's ordinary differential equation (ODE) and partial differential equation (PDE) packages, which are explained and demonstrated via interactive examples and case studies.

Learn applied numerical computing using the C programming language, starting with a quick primer on the C programming language and its SDK.

Employ essential and hands-on tools and functions of the MATLAB and Simulink packages, which are explained and demonstrated via interactive examples and case studies.

Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts.