Learn IT - Books tags linear

Convex Optimization with Computational Errors (Springer Optimization and Its Applications)

Springer, 2020

The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on the convergence behavior of algorithms in a Hilbert space, which are known as important tools for solving optimization problems. The research presented in the book is the continuation...

Modeling and Optimization of Interdependent Energy Infrastructures

Springer, 2019

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from the electricity network, natural gas network, district heating network, and electrified transportation network. The authors provide methods to help analyze, design, and operate the integrated...

Filtered Repetitive Control with Nonlinear Systems

Springer, 2019

Though there have been significant advances in the theory and applications of linear time-invariant systems, developments regarding repetitive control have been sporadic. At the same time, there is a dearth of literature on repetitive control (RC) for nonlinear systems.

Addressing that gap, this book discusses a range of basic...

Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) (Lecture Notes in Electrical Engineering)

Springer, 2019

This book includes original, peer-reviewed research papers from the 11th International Conference on Modelling, Identification and Control (ICMIC2019), held in Tianjin, China on July 13-15, 2019. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control,...

Obsessed by a Dream: The Physicist Rolf Widerøe – a Giant in the History of Accelerators (Springer Biographies)

Springer, 2019

This Open Access biography chronicles the life and achievements of the Norwegian engineer and physicist Rolf Widerøe. Readers who meet him in the pages of this book will wonder why he isn't better known.

The first of Widerøe's many pioneering contributions in the field of accelerator physics was the...

Dynamic Programming for Impulse Feedback and Fast Controls: The Linear Systems Case (Lecture Notes in Control and Information Sciences)

Springer, 2019

Dynamic Programming for Impulse Feedback and Fast Controls offers a description of feedback control in the class of impulsive inputs. This book deals with the problem of closed-loop impulse control based on generalization of dynamic programming techniques in the form of variational inequalities of the...

Applied Statistics: Theory and Problem Solutions with R

John Wiley & Sons, 2019

Instructs readers on how to use methods of statistics and experimental design with R software

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

Building WordPress Themes from Scratch

CreateSpace Independent Publishing Platform, 2014

Walk through the steps you need to build your very own WordPress theme! Included with the book is a WordPress theme and other necessary files, so roll up your sleeves and let Joe take you through the process explaining what you need to do - and why you’re doing it - every step of the way. Hi, I’m Joe, the author of Building...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

John Wiley & Sons, 2011

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...

An Introduction to Analysis of Financial Data with R

John Wiley & Sons, 2012

A complete set of statistical tools for beginning financial analysts from a leading authority

Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data. Through a fundamental balance between theory and...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Packt Publishing, 2018

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow

Explore deep neural...

Mathematical Methods and Algorithms for Signal Processing

Pearson Education, 1999

Mathematical Methods and Algorithms for Signal Processing tackles the challenge of providing readers and practitioners with the broad tools of mathematics employed in modern signal processing. Building from an assumed background in signals and stochastic processes, the book provides a solid foundation in analysis, linear...

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