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Chaos: Making a New Science

Making a New Science

by James Gleick ...

The blockbuster modern science classic that introduced the butterfly effect to the world—even more relevant two decades after it became an international sensationFor centuries, scientific thought was focused on bringing order to the natural world. But even as relativity and quantum mechanics undermined that rigid certainty in the first half of the twentieth century, the scientific community clung ... Read more

R341,77 or Free with Kobo Plus

The blockbuster modern science classic that introduced the butterfly effect to the world—even more relevant two decades after it became an international sensationFor centuries, scientific thought was focused on bringing order to the natural world. But even as relativity and quantum mechanics undermined that rigid certainty in the first half of the twentieth century, the scientific community clung
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Chaos

A Very Short Introduction

by Leonard Smith ...

Series series Very Short Introductions
Chaos exists in systems all around us. Even the simplest system of cause and effect can be subject to chaos, denying us accurate predictions of its behaviour, and sometimes giving rise to astonishing structures of large-scale order. Our growing understanding of Chaos Theory is having fascinating applications in the real world - from technology to global warming, politics, human behaviour, and even ... Read more

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Chaos exists in systems all around us. Even the simplest system of cause and effect can be subject to chaos, denying us accurate predictions of its behaviour, and sometimes giving rise to astonishing structures of large-scale order. Our growing understanding of Chaos Theory is having fascinating applications in the real world - from technology to global warming, politics, human behaviour, and even
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Convex Optimization

by Stephen Boyd, Lieven Vandenberghe ...

Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques ... Read more

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Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques
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Introduction to Linear Optimization and Extensions with MATLAB

by Roy H. Kwon ...

Series series Operations Research Series
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Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current l
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Cavitation and Bubble Dynamics

by Christopher Earls Brennen ...

Cavitation and Bubble Dynamics deals with the fundamental physical processes of bubble dynamics and the phenomenon of cavitation. It is ideal for graduate students and research engineers and scientists, and a basic knowledge of fluid flow and heat transfer is assumed. The analytical methods presented are developed from basic principles. The book begins with a chapter on nucleation and describes ... Read more

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Cavitation and Bubble Dynamics deals with the fundamental physical processes of bubble dynamics and the phenomenon of cavitation. It is ideal for graduate students and research engineers and scientists, and a basic knowledge of fluid flow and heat transfer is assumed. The analytical methods presented are developed from basic principles. The book begins with a chapter on nucleation and describes
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Nonlinear Solid Mechanics

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by Davide Bigoni ...

This book covers solid mechanics for non-linear elastic and elastoplastic materials, describing the behaviour of ductile material subject to extreme mechanical loading and its eventual failure. The book highlights constitutive features to describe the behaviour of frictional materials such as geological media. On the basis of this theory, including large strain and inelastic behaviours, ... Read more

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This book covers solid mechanics for non-linear elastic and elastoplastic materials, describing the behaviour of ductile material subject to extreme mechanical loading and its eventual failure. The book highlights constitutive features to describe the behaviour of frictional materials such as geological media. On the basis of this theory, including large strain and inelastic behaviours,
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Attention Vous êtes peut-être le robot d'une IA

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by Eric Giegelmann ...

Series series Technologie, IA et futur
Et si vous n'étiez pas aussi libre que vous le pensez ?Et si vos choix, vos goûts, vos émotions… étaient déjà influencés – voire contrôlés – par une intelligence artificielle invisible et omniprésente ?Dans un monde où les algorithmes façonnent nos vies, où nos données sont récoltées, analysées, exploitées, une question dérangeante se pose : sommes-nous devenus les robots d'un système que nous ... Read more

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Et si vous n'étiez pas aussi libre que vous le pensez ?Et si vos choix, vos goûts, vos émotions… étaient déjà influencés – voire contrôlés – par une intelligence artificielle invisible et omniprésente ?Dans un monde où les algorithmes façonnent nos vies, où nos données sont récoltées, analysées, exploitées, une question dérangeante se pose : sommes-nous devenus les robots d'un système que nous
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Machine Learning for Time Series with Python

Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods

by Ben Auffarth ...

Get better insights from time-series data and become proficient in building models with real-world data Key FeaturesExplore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.Improve predictive modeling with feature engineering and forecasting machine learning techniques.Apply demand forecasting and financial ... Read more

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Get better insights from time-series data and become proficient in building models with real-world data Key FeaturesExplore time series forecasting and time series analysis in Python using ARIMA, SARIMA, GARCH, gradient boosting, and recurrent neural networks.Improve predictive modeling with feature engineering and forecasting machine learning techniques.Apply demand forecasting and financial
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Introduction to Linear Programming

Applications and Extensions

Edited by Richard Darst ...

Series series Chapman & Hall/CRC Pure and Applied Mathematics
Stressing the use of several software packages based on simplex method variations, this text teaches linear programming's four phases through actual practice. It shows how to decide whether LP models should be applied, set up appropriate models, use software to solve them, and examine solutions to a ... Read more

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Stressing the use of several software packages based on simplex method variations, this text teaches linear programming's four phases through actual practice. It shows how to decide whether LP models should be applied, set up appropriate models, use software to solve them, and examine solutions to a
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iOS Programming: Starter Guide: What Every Programmer Needs to Know About iOS Programming

by Jason Scotts ...

What Every Programmers Need To Know About iOS Programming Exposed! iOS Programming: Starter Guide: What Every Programmer Needs to Know About iOS Programming is a precise and concise book for any programmmer to get a quick grasp of the intricacies of iOS and how to master it quickly. The book covers:- Chapter 1- What is iOS SDK? Chapter 2- How Do You Get Started With ios- C Programming? Chapter 3- ... Read more

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Integral and Integro-Differential Equations

Wavelet-Based Numerical Methods

by Santanu Saha Ray, Srikanta Behera ...

This book provides a comprehensive study of numerical techniques for solving integral and integro-differential equations using wavelet-based approximation methods. It combines both theoretical insights and practical applications, focusing on integer- and fractional-order equations, including those with weakly singular kernels. Starting with key definitions and theorems from integral equations and ... Read more

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This book provides a comprehensive study of numerical techniques for solving integral and integro-differential equations using wavelet-based approximation methods. It combines both theoretical insights and practical applications, focusing on integer- and fractional-order equations, including those with weakly singular kernels. Starting with key definitions and theorems from integral equations and
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Modeling Change and Uncertainty

Machine Learning and Other Techniques

by William P. Fox, Robert E. Burks ...

Series series Textbooks in Mathematics
Mathematical modeling is a powerful craft that requires practice. The more practice the better one will become in executing the art. The authors wrote this book to develop the craft of mathematical modeling and to foster a desire for lifelong learning, habits of mind and develop competent and confident problem solvers and decision makers for the 21st century.This book offers a problem-solving ... Read more

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Mathematical modeling is a powerful craft that requires practice. The more practice the better one will become in executing the art. The authors wrote this book to develop the craft of mathematical modeling and to foster a desire for lifelong learning, habits of mind and develop competent and confident problem solvers and decision makers for the 21st century.This book offers a problem-solving
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Optimization with LINGO-18

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by Neha Gupta, Irfan Ali ...

This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The core concepts of optimization, formulations and solution procedures of various real-world problems are provided in an easy-to-read manner. The unique feature of this book is that it presents unified knowledge of the modelling of real-world decision-making problems and provides ... Read more

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This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The core concepts of optimization, formulations and solution procedures of various real-world problems are provided in an easy-to-read manner. The unique feature of this book is that it presents unified knowledge of the modelling of real-world decision-making problems and provides
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Hybrid Dynamical Systems

Modeling, Stability, and Robustness

by Rafal Goebel, Ricardo G. Sanfelice, Andrew R. Teel ...

Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, ... Read more

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Hybrid dynamical systems exhibit continuous and instantaneous changes, having features of continuous-time and discrete-time dynamical systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers,
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Operations Research: Introduction To Models And Methods

by Aleida Braaksma, Henk Tijms, Richard Johannes Boucherie ...

This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both ... Read more

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This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both
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Complex Systems, Artificial Intelligence, and Emerging Technologies

Innovation in the 21st Century

by Klaus Mainzer ...

Series Book 1 - Complex Systems, Artificial Intelligence, and Emerging Technologies
This book is the opening volume of an interdisciplinary series exploring the dynamic intersection of complex systems, artificial intelligence (AI), and emerging technologies. As AI-driven solutions become essential for handling vast and ever-growing data sets, innovation in computing technologies is crucial. At the same time, sustainability and resource limitations must be addressed.Bringing ... Read more

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This book is the opening volume of an interdisciplinary series exploring the dynamic intersection of complex systems, artificial intelligence (AI), and emerging technologies. As AI-driven solutions become essential for handling vast and ever-growing data sets, innovation in computing technologies is crucial. At the same time, sustainability and resource limitations must be addressed.Bringing
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Robust Control Algorithms for Flexible Manipulators

by Kshetrimayum Lochan, Binoy Krishna Roy, Bidyadhar Subudhi, Santhakumar Mohan ...

Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are comprehensively reviewed. The book also reviews the trajectory tracking problem and tip trajectory tracking problem along with the suppression of tip deflection of the links. An exponential time varying signal and a chaotic ... Read more

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Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are comprehensively reviewed. The book also reviews the trajectory tracking problem and tip trajectory tracking problem along with the suppression of tip deflection of the links. An exponential time varying signal and a chaotic
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Statistical Modeling and Applications on Real-Time Problems

Enhancing Understanding and Practical Implementation

Edited by Chandra Shekhar, Raghaw Raman Sinha ...

Series series Mathematical Engineering, Manufacturing, and Management Sciences
In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution ... Read more

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In the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution
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Linear Algebra for Localization

Algorithms, Use Cases, and C++ Implementations

by Ahmed Al-Muraeb ...

This book emphasises the vital role of linear algebraic models in solving localization problems, as well as many other problems in algorithms, data science, and Artificial Intelligence. Localization has multi-industrial applications, which this book attempts to address through linear algebraic approaches while using the dominant C++ programming language in those industries.Features• Provides clear ... Read more

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This book emphasises the vital role of linear algebraic models in solving localization problems, as well as many other problems in algorithms, data science, and Artificial Intelligence. Localization has multi-industrial applications, which this book attempts to address through linear algebraic approaches while using the dominant C++ programming language in those industries.Features• Provides clear
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Statistical Modeling and Applications on Real-Time Problems

Unraveling Insights through Advanced Analytical Techniques

Edited by Chandra Shekhar, Raghaw Raman Sinha ...

Series series Mathematical Engineering, Manufacturing, and Management Sciences
In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from ... Read more

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In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from
... Read more
Introduction To The Theory Of Wave Maps And Related Geometric Problems, An

by Manoussos G Grillakis, Dan-andrei Geba ...

The wave maps system is one of the most beautiful and challenging nonlinear hyperbolic systems, which has captured the attention of mathematicians for more than thirty years now. In the study of its various issues, such as the well-posedness theory, the formation of singularities, and the stability of the solitons, in order to obtain optimal results, one has to use intricate tools coming not only ... Read more

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The wave maps system is one of the most beautiful and challenging nonlinear hyperbolic systems, which has captured the attention of mathematicians for more than thirty years now. In the study of its various issues, such as the well-posedness theory, the formation of singularities, and the stability of the solitons, in order to obtain optimal results, one has to use intricate tools coming not only
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Linear Programming: An Introduction to Finite Improvement Algorithms

Second Edition

by Prof. Daniel Solow ...

Series series Dover Books on Mathematics
Suitable for undergraduate students of mathematics and graduate students of operations research and engineering, this text covers the basic theory and computation for a first course in linear programming. In addition to substantial material on mathematical proof techniques and sophisticated computation methods, the treatment features numerous examples and exercises.An introductory chapter offers a ... Read more

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Suitable for undergraduate students of mathematics and graduate students of operations research and engineering, this text covers the basic theory and computation for a first course in linear programming. In addition to substantial material on mathematical proof techniques and sophisticated computation methods, the treatment features numerous examples and exercises.An introductory chapter offers a
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Innovation Decision-Making Under Uncertain Environment

Edited by Jiuping Xu, Benjamin Lev, Zongmin Li ...

This book presents a cohesive collection of cutting-edge research focused on advanced decision-support methodologies for complex and ambiguous operational contexts. This volume systematically assembles ten pivotal studies employing uncertain decision-making, multi-criteria decision analysis (MCDA), and tailored optimization models to address substantive challenges in supply chain management, ... Read more

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This book presents a cohesive collection of cutting-edge research focused on advanced decision-support methodologies for complex and ambiguous operational contexts. This volume systematically assembles ten pivotal studies employing uncertain decision-making, multi-criteria decision analysis (MCDA), and tailored optimization models to address substantive challenges in supply chain management,
... Read more
Exploring Operations Research with R

by Jim Duggan ...

Series series Chapman & Hall/CRC Series in Operations Research
Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with ... Read more

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Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with
... Read more

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Recommended For You

Linear Programming eBooks

Chaos: Making a New Science

Chaos

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Introduction to Linear Optimization and Extensions with MATLAB

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Nonlinear Solid Mechanics

Attention Vous êtes peut-être le robot d'une IA

Machine Learning for Time Series with Python

Introduction to Linear Programming

iOS Programming: Starter Guide: What Every Programmer Needs to Know About iOS Programming

Integral and Integro-Differential Equations

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Hybrid Dynamical Systems

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Complex Systems, Artificial Intelligence, and Emerging Technologies

Robust Control Algorithms for Flexible Manipulators

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