The first comprehensive textbook on the optical properties of photonic crystals. It deals not only with the properties of the radiation modes inside the crystals but also with their peculiar optical response to external fields. Has consistently been a good seller (sometimes best-seller) at Optical Society of America meetings. Important recent...

Computational complexity, originated from the interactions between computer science and numerical optimization, is one of the major theories that have revolutionized the approach to solving optimization problems and to analyzing their intrinsic difficulty. This volume is a collection of articles on recent complexity developments in numerical...

C++ Standard Library provides a set of common classes and interfaces that greatly extend the core C++ language. The library, however, is not self-explanatory. To make full use of its components-and to benefit from their power-you need a resource that does far more than list the classes and...

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model...

Implementing Models of Financial Derivatives is a comprehensivetreatment of advanced implementation techniques in VBA for modelsof financial derivatives. Aimed at readers who are already familiarwith the basics of VBA it emphasizes a fully object orientedapproach to valuation applications, chiefly in the context of MonteCarlo simulation but...

This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or...

Approximation methods are of vital importance in many challenging applications from computational science and engineering. This book collects papers from world experts in a broad variety of relevant applications of approximation theory, including pattern recognition and machine learning, multiscale modelling of fluid flow, metrology,...