Mathematics

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Statistical Portfolio Estimation

Masanobu Taniguchi, Hiroshi Shiraishi, Junichi Hirukawa, Hiroko Kato Solvang, Takashi Yamashita
August 21, 2017

The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk of investments. This book provides a comprehensive overview of statistical inference for portfolios and their various applications. A variety of asset processes are...

Mathematical Models of Plant-Herbivore Interactions

Zhilan Feng, Donald DeAngelis
August 16, 2017

Mathematical Models of Plant-Herbivore Interactions addresses mathematical models in the study of practical questions in ecology, particularly factors that affect herbivory, including plant defense, herbivore natural enemies, and adaptive herbivory, as well as the effects of these on plant...

New Concepts and Trends of Hybrid Multiple Criteria Decision Making

Gwo-Hshiung Tzeng, Kao-Yi Shen
August 16, 2017

When people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data...

Computation with Linear Algebraic Groups

Willem Adriaan de Graaf
August 11, 2017

Designed as a self-contained account of a number of key algorithmic problems and their solutions for linear algebraic groups, this book combines in one single text both an introduction to the basic theory of linear algebraic groups and a substantial collection of useful algorithms. Computation with...

Capital Account Liberation: Methods and Applications

Ying Yirong, Jeffrey Yi-Lin Forrest
August 01, 2017

Along with the development of economic globalization, many countries have begun to relax their controls on their capital accounts. However, the recent financial crises in Latin American countries as well as the exchange rate crises in Southeast Asian countries have shown that there is major risk...

An Introduction to Linear Algebra

Ravi P. Agarwal, Elena Cristina Flaut
July 28, 2017

The techniques of linear algebra are used extensively across the applied sciences, and in many different areas of algebra such as group theory, module theory, representation theory, ring theory, and Galois theory. Written by experienced researchers with a decades of teaching experience,...

Data Fusion Mathematics: Theory and Practice

Jitendra R. Raol
July 26, 2017

Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF...

Fractional Calculus with Applications for Nuclear Reactor Dynamics

Santanu Saha Ray
July 26, 2017

Introduces Novel Applications for Solving Neutron Transport Equations While deemed nonessential in the past, fractional calculus is now gaining momentum in the science and engineering community. Various disciplines have discovered that realistic models of physical phenomenon can be achieved with...

Recent Advances in Operator Theory and Operator Algebras

Hari Bercovici, Elias Katsoulis, David Kerr, Dan Timotin
July 20, 2017

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. The main aim of this book is to bring together various results in one place with cogent...

Stochastic H2/H 8 Control: A Nash Game Approach

Weihai Zhang, Lihua Xie, Bor-Sen Chen
July 18, 2017

The H∞ control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H∞ control, and studies more complex and practically useful mixed H2/H∞ controller synthesis rather than the pure H∞ control. Different from the commonly...

Introduction to Modeling and Simulation with MATLAB® and Python

Steven I. Gordon, Brian Guilfoos
July 17, 2017

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science, social science, and engineering that wish to learn the principles of computer modeling, as well as basic programming skills. The book content focuses on meeting a set of basic...

Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations

S. Chakraverty, Susmita Mall
July 14, 2017

Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial differential equations. Analytical solutions of differential equations may not be obtained easily, so numerical methods have been developed...

Conferences

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