Mathematics

Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades.

Concave analysis deals mainly with concave and quasi-concave functions, although convex and quasi-convex functions are considered because of their mutual inherent relationship.

In industry and economics, the most common solutions of partial differential equations involving multivariate numerical integration over cuboids include techniques of iterated one-dimensional approximate integration.

The main focus of the book is to implement wavelet based transform methods for solving problems of fractional order partial differential equations arising in modelling real physical phenomena.

The main focus of the book is to implement wavelet based transform methods for solving problems of fractional order partial differential equations arising in modelling real physical phenomena.

Noncommutative Deformation Theory is aimed at mathematicians and physicists studying the local structure of moduli spaces in algebraic geometry.

Stochastic Process Optimization using Aspen(R) PlusBookshop Category: Chemical EngineeringOptimization can be simply defined as "e;choosing the best alternative among a set of feasible options"e;.

In Generalized Barycentric Coordinates in Computer Graphics and Computational Mechanics, eminent computer graphics and computational mechanics researchers provide a state-of-the-art overview of generalized barycentric coordinates.

Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data.

This book will contain lectures given by four eminent speakers at the Recent Advances in Operator Theory and Operator Algebras conference held at the Indian Statistical Institute, Bangalore, India in 2014.

This reference/text develops a constructive theory of solvability on linear and nonlinear abstract and differential equations - involving A-proper operator equations in separable Banach spaces, and treats the problem of existence of a solution for equations involving pseudo-A-proper and weakly-A-proper mappings, and illustrates their applications.

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date source on the latest advances in thisfield has arisen.

Sparked by demands inherent to the mathematical study of pollution, intensive industry, global warming, and the biosphere, Adjoint Equations and Perturbation Algorithms in Nonlinear Problems is the first book ever to systematically present the theory of adjoint equations for nonlinear problems, as well as their application to perturbation algorithms.

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction.

The effectiveness of dual integral equations for handling mixed boundary value problems has established them as an important tool for applied mathematicians.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis.

Algebraic and Differential Topology presents in a clear, concise, and detailed manner the fundamentals of homology theory.

This book should be of interest to mathematics scientists working in the areas of linear algebra, abstract algebra, number theory, numerical analysis, operations research and mathematical modelling.

Since the appearance of Banach algebra theory, the interaction between the theories ofBanach algebras with involution and that of bounded linear operators on a Hilbert space hasbeen extensively developed.

Over the last few years, the study of complexes has become increasingly important.

Calculations once prohibitively time-consuming can be completed in microseconds by modern computers.

Differentilil Geometry and Relativity Theory: An Introduction approaches relativity asa geometric theory of space and time in which gravity is a manifestation of space-timecurvature, rathe1 than a force.

This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help overcome obstacles that could not be previously solved by methods such as regression and time series modelling in the areas of economics, meteorology, and transportation.

Foundations of Mobile Radio Engineering is a comprehensive survey covering the main topics of mobile radio systems.

Wavelets have recently been enjoying a period of popularity and rapid growth, and the influence of wavelet methods now extends well beyond mathematics into a number of practical fields, including statistics.

Harmonic maps and the related theory of minimal surfaces are variational problems of long standing in differential geometry.

This introductory text acts as a singular resource for undergraduates learning the fundamental principles and applications of integration theory.

Classroom-tested and lucidly written, Multivariable Calculus gives a thorough and rigoroustreatment of differential and integral calculus of functions of several variables.

Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data.

Quantum theory offers a strange, and perhaps unique, case in the history of science.

This volume, which ten years ago appeared as the first in the acclaimed series Lecture Notes in Logic, serves as an introduction to recursion theory.

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis.

This volume presents a novel approach to set theory that is entirely operational.

The Finite-Difference Time-domain (FDTD) method allows you to compute electromagnetic interaction for complex problem geometries with ease.

The Riemann problem is the most fundamental problem in the entire field of non-linear hyperbolic conservation laws.

Transmission Line Matrix (TLM) is a numerical technique which is based upon establishing an analogue between a space and time dependent physical problem and an electrical network which includes transmission lines.

Nonlinear Analysis of Structures presents a complete evaluation of the nonlinear static and dynamic behavior of beams, rods, plates, trusses, frames, mechanisms, stiffened structures, sandwich plates, and shells.

Accurate modeling of the interaction between convective and diffusive processes is one of the most common challenges in the numerical approximation of partial differential equations.

Reliability-based design is relatively well established in structural design.

The first book to examine weakly stationary random fields and their connections with invariant subspaces (an area associated with functional analysis).

This book, first published in 1969, was written for the manager or potential manager concerned with strategic decision-making.

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems.

The aim of Summable Spaces and Their Duals, Matrix Transformations and Geometric Properties is to discuss primarily about different kinds of summable spaces, compute their duals and then characterize several matrix classes transforming one summable space into other.

Originally published in 1974.

Originally published in 1974.

Originally published in 1987.

Originally published in 1984.

Originally published in 1984.

Physiological Models in Microbiology consists of two volumes.

This easy-to-follow book offers a statistico-geometrical approach for dating ancient star catalogs.