Information architecture

Differential Equations: Classical to Controlled

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Dynamic Noncooperative Game Theory

An Introduction to Applied Optimal Control

Maximum Principles and Their Applications

Approximate Methods in Engineering Design

Sequence Transformations and Their Applications

Stability of Linear Systems: Some Aspects of Kinematic Similarity

Introduction to Algebraic System Theory

Random Differential Inequalities

Search Games

Vector-Valued Optimization Problems in Control Theory

Operator Inequalities

This book describes systematic methods for winning in differential games of pursuit and evasion and illustrates the scope and application of the developed procedures.

Even with the advances in signal processing and digital communications, robustness to uncertain channel statistics continues to be a fundamental issue in the design and performance analysis of today's communications, radar, and sonar systems.

This book deals with measures of information (the most important ones being called entropies), their properties, and, reciprocally, with questions concerning which of these properties determine known measures of information, and which are the most general formulas satisfying reasonable requirements on practical measures of information.

A Rational Finite Element Basis

A book on an advanced level that exposes the reader to the fascinating field of differential equations and provides a ready access to an up-to-date state of this art is of immense value.

Discrete Numerical Methods in Physics and Engineering

Bilinear Control Processes: with Applications to Engineering, Ecology, and Medicine

Introduction to the Theory and Application of Differential Equations with Deviating Arguments 2nd edition is a revised and substantially expanded edition of the well-known book of L.

Integral Equations and Stability of Feedback Systems

Random Differential Equations in Science and Engineering

Automation Theory and Modeling of Biological Systems

Foundations of the Theory of Learning Systems

Sparse Matrices

Graph Theory in Modern Engineering: Computer Aided Design, Control, Optimization, Reliability Analysis

This third volume of the monograph examines potential theory.

While most textbooks on Numerical Analysis discuss linear techniques for the solution of various numerical problems, this book introduces and illustrates nonlinear methods.

This selection of papers is concerned with problems arising in the numerical solution of differential equations, with an emphasis on partial differential equations.

This volume contains nine selected papers presented at the Borgholm conference.

This book is an introduction to the theory of knots via the theory of braids, which attempts to be complete in a number of ways.

Probabilities and Potential, A

This volume in the Annals of Discrete Mathematics brings together contributions by renowned researchers in combinatorics, graphs and complexity.

This volume presents four machine-independent theories of computational complexity, which have been chosen for their intrinsic importance and practical relevance.

If you want to master the art and science of reverse engineering code with IDA Pro for security R&D or software debugging, this is the book for you.

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobsKey FeaturesWork with large amounts of agile data using distributed datasets and in-memory cachingSource data from all popular data hosting platforms, such as HDFS, Hive, JSON, and S3Employ the easy-to-use PySpark API to deploy big data Analytics for productionBook DescriptionApache Spark is an open source parallel-processing framework that has been around for quite some time now.

Mathematical Logic is a collection of the works of one of the leading figures in 20th-century science.

Recursive Model Theory

This Handbook documents the main trends in current research between logic and language, including its broader influence in computer science, linguistic theory and cognitive science.

This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing.

A practical guide to programming for data acquisition and measurement - must-have info in just the right amount of depth for engineers who are not programming specialists.

The 21 chapters in this handbook are written by the leading experts in the world on the theory, techniques, applications, and standards surrounding lossless compression.

Given modern society's need to control its ever-increasing body of information, digital libraries will be among the most important and influential institutions of this century.

This volume is a self-contained, exhaustive exposition of the extrapolation methods theory, and of the various algorithms and procedures for accelerating the convergence of scalar and vector sequences.

Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.

The ambition of this volume is twofold: to provide a comprehensive overview of the field and to serve as an indispensable reference work for anyone who wants to work in it.

This present volume describes some of the latest advances in the computer science field today.

Create and unleash the power of neural networks by implementing C# and .