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Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)
Risk and Portfolio Analysis: Principles and Methods (Springer Series in Operations Research and Financial Engineering)

Investment and risk management problems are fundamental problems for  financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into...

Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete...

Probability and Random Processes, Second Edition: With Applications to Signal Processing and Communications
Probability and Random Processes, Second Edition: With Applications to Signal Processing and Communications

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing engineers, and includes unique chapters on...

Optical Coding Theory with Prime
Optical Coding Theory with Prime

Although several books cover the coding theory of wireless communications and the hardware technologies and coding techniques of optical CDMA, no book has been specifically dedicated to optical coding theory—until now. Written by renowned authorities in the field, Optical Coding Theory with Prime gathers together in one...

MATLAB Control Systems Engineering
MATLAB Control Systems Engineering

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Advanced Engineering Mathematics
Advanced Engineering Mathematics

Through previous editions, Peter O'Neil has made rigorous engineering mathematics topics accessible to thousands of students by emphasizing visuals, numerous examples, and interesting mathematical models. Advanced Engineering Mathematics features a greater number of examples and problems and is fine-tuned throughout to improve the clear...

FSM-based Digital Design using Verilog HDL
FSM-based Digital Design using Verilog HDL

As digital circuit elements decrease in physical size, resulting in increasingly complex systems, a basic logic model that can be used in the control and design of a range of semiconductor devices is vital. Finite State Machines (FSM) have numerous advantages; they can be applied to many areas (including motor control, and signal and serial...

Digital Control
Digital Control

Digital control systems are becoming increasingly prevalent and important within industry. In recent years significant progress has been made in their analysis and design – particularly within the areas of microprocessors and digital signal processors. The traditional approach to teaching digital control assumes an understanding of...

Statistics for Six Sigma Green Belts with Minitab and JMP
Statistics for Six Sigma Green Belts with Minitab and JMP

The only book on the market that provides a simple nonmathematical presentation of the statistics needed by Six Sigma Green Belts. Every concept is explained in plain English with a minimum of mathematical symbols. Includes real-world examples, step by step instructions and sample output for Minitab and JMP software as...

Regression Analysis: Statistical Modeling of a Response Variable
Regression Analysis: Statistical Modeling of a Response Variable
The objective of Regression Analysis: Statistical Modeling of a Response Variable, Second Edition, is to provide tools necessary for using the modeling approach for the intelligent statistical analysis of a response variable. Although there is strong emphasis on regression analysis, there is coverage of other linear models such...
WebGL Game Development
WebGL Game Development

WebGL is the standard for rendering 3D graphics in a browser using JavaScript. This book will teach you to exploit the full potential of WebGL in game development by rendering complex 3D objects. The essential tutorial.

Overview

  • Load and render complex 3D objects in WebGL using JavaScript
  • ...
Matrix Calculus and Kronecker Product With Applications and C++ Programs
Matrix Calculus and Kronecker Product With Applications and C++ Programs

The Kronecker product of matrices plays a central role in mathematics and in applications found in engineering and theoretical physics. These applications are signal processing, statistical physics, quantum groups and quantum computers. This text provides a comprehensive introduction to the Kronecker product of matrices together with its...

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