Author: Peter C. Mayer
Publisher: Author House
ISBN: 1463420676
Category : Biography & Autobiography
Languages : en
Pages : 108
Book Description
Their son, mostly for fun, writes this collection of vignettes about two prominent scientists. The forward includes a description of the two, summarizing their character and their careers. The summary contains an explanation of the title, Entropy Squared. The forward ends with remarks about the accuracy of the vignettes. Some vignettes include a representation of the impact on the son and some have historical significance. The first two sections concern Gttingen, Germany, from where that American, Joe, as a fellow student put it, acquired his wife. The first section of Gttingen vignettes is from the time of meeting and from visits until World War II. The second is from after the War. Marias career at Sarah Lawrence College separates sections of their supporting the World War II war effort, Joe at the Ballistics Research Laboratory of Aberdeen Proving Grounds and Maria with the Manhattan, nuclear bomb, Project. The Sarah Lawrence College section goes beyond memories because biographers have said little about Marias time at Sarah Lawrence. Sections concerning each are followed by a section on Maria receiving of the Nobel Prize. The conclusion is a memorial to Joe.
Son of (Entropy)2
Author: Peter C. Mayer
Publisher: Author House
ISBN: 1463420676
Category : Biography & Autobiography
Languages : en
Pages : 108
Book Description
Their son, mostly for fun, writes this collection of vignettes about two prominent scientists. The forward includes a description of the two, summarizing their character and their careers. The summary contains an explanation of the title, Entropy Squared. The forward ends with remarks about the accuracy of the vignettes. Some vignettes include a representation of the impact on the son and some have historical significance. The first two sections concern Gttingen, Germany, from where that American, Joe, as a fellow student put it, acquired his wife. The first section of Gttingen vignettes is from the time of meeting and from visits until World War II. The second is from after the War. Marias career at Sarah Lawrence College separates sections of their supporting the World War II war effort, Joe at the Ballistics Research Laboratory of Aberdeen Proving Grounds and Maria with the Manhattan, nuclear bomb, Project. The Sarah Lawrence College section goes beyond memories because biographers have said little about Marias time at Sarah Lawrence. Sections concerning each are followed by a section on Maria receiving of the Nobel Prize. The conclusion is a memorial to Joe.
Publisher: Author House
ISBN: 1463420676
Category : Biography & Autobiography
Languages : en
Pages : 108
Book Description
Their son, mostly for fun, writes this collection of vignettes about two prominent scientists. The forward includes a description of the two, summarizing their character and their careers. The summary contains an explanation of the title, Entropy Squared. The forward ends with remarks about the accuracy of the vignettes. Some vignettes include a representation of the impact on the son and some have historical significance. The first two sections concern Gttingen, Germany, from where that American, Joe, as a fellow student put it, acquired his wife. The first section of Gttingen vignettes is from the time of meeting and from visits until World War II. The second is from after the War. Marias career at Sarah Lawrence College separates sections of their supporting the World War II war effort, Joe at the Ballistics Research Laboratory of Aberdeen Proving Grounds and Maria with the Manhattan, nuclear bomb, Project. The Sarah Lawrence College section goes beyond memories because biographers have said little about Marias time at Sarah Lawrence. Sections concerning each are followed by a section on Maria receiving of the Nobel Prize. The conclusion is a memorial to Joe.
The Geometry of Musical Rhythm
Author: Godfried T. Toussaint
Publisher: CRC Press
ISBN: 1466512032
Category : Mathematics
Languages : en
Pages : 357
Book Description
The Geometry of Musical Rhythm: What Makes a "Good" Rhythm Good? is the first book to provide a systematic and accessible computational geometric analysis of the musical rhythms of the world. It explains how the study of the mathematical properties of musical rhythm generates common mathematical problems that arise in a variety of seemingly dispara
Publisher: CRC Press
ISBN: 1466512032
Category : Mathematics
Languages : en
Pages : 357
Book Description
The Geometry of Musical Rhythm: What Makes a "Good" Rhythm Good? is the first book to provide a systematic and accessible computational geometric analysis of the musical rhythms of the world. It explains how the study of the mathematical properties of musical rhythm generates common mathematical problems that arise in a variety of seemingly dispara
Women Scientists
Author: Magdolna Hargittai
Publisher: Oxford University Press, USA
ISBN: 0199359989
Category : Biography & Autobiography
Languages : en
Pages : 385
Book Description
A compilation of sixty biographical sketches of influential female scientists, discussing topics like the state of the modern female scientist and the underrepresentation of women at the higher levels of academia.
Publisher: Oxford University Press, USA
ISBN: 0199359989
Category : Biography & Autobiography
Languages : en
Pages : 385
Book Description
A compilation of sixty biographical sketches of influential female scientists, discussing topics like the state of the modern female scientist and the underrepresentation of women at the higher levels of academia.
Python Machine Learning By Example
Author: Yuxi (Hayden) Liu
Publisher: Packt Publishing Ltd
ISBN: 1800203861
Category : Computers
Languages : en
Pages : 527
Book Description
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook Description Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements. At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries. Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP. By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems. What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is for If you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
Publisher: Packt Publishing Ltd
ISBN: 1800203861
Category : Computers
Languages : en
Pages : 527
Book Description
A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key FeaturesDive into machine learning algorithms to solve the complex challenges faced by data scientists todayExplore cutting edge content reflecting deep learning and reinforcement learning developmentsUse updated Python libraries such as TensorFlow, PyTorch, and scikit-learn to track machine learning projects end-to-endBook Description Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML). With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements. At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries. Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP. By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems. What you will learnUnderstand the important concepts in ML and data scienceUse Python to explore the world of data mining and analyticsScale up model training using varied data complexities with Apache SparkDelve deep into text analysis and NLP using Python libraries such NLTK and GensimSelect and build an ML model and evaluate and optimize its performanceImplement ML algorithms from scratch in Python, TensorFlow 2, PyTorch, and scikit-learnWho this book is for If you’re a machine learning enthusiast, data analyst, or data engineer highly passionate about machine learning and want to begin working on machine learning assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial, although this is not necessary.
Computational Thermodynamics of Materials
Author: Zi-Kui Liu
Publisher: Cambridge University Press
ISBN: 0521198968
Category : Science
Languages : en
Pages : 261
Book Description
Integrates fundamental concepts with experimental data and practical applications, including worked examples and end-of-chapter problems.
Publisher: Cambridge University Press
ISBN: 0521198968
Category : Science
Languages : en
Pages : 261
Book Description
Integrates fundamental concepts with experimental data and practical applications, including worked examples and end-of-chapter problems.
Entropy Applications in Environmental and Water Engineering
Author: Huijuan Cui
Publisher: MDPI
ISBN: 3038972223
Category : Technology & Engineering
Languages : en
Pages : 512
Book Description
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Rényi, Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.
Publisher: MDPI
ISBN: 3038972223
Category : Technology & Engineering
Languages : en
Pages : 512
Book Description
Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Rényi, Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.
Maximum-Entropy Sampling
Author: Marcia Fampa
Publisher: Springer Nature
ISBN: 3031130782
Category : Mathematics
Languages : en
Pages : 206
Book Description
This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the algorithmic problem of calculating a sub-vector of pre-specificed size from a multivariate Gaussian random vector, so as to maximize Shannon's differential entropy. The text collects and expands on state-of-the-art algorithms for MESP, and addresses its application in the field of environmental monitoring. While MESP is a central optimization problem in the theory of statistical designs (particularly in the area of spatial monitoring), this book largely focuses on the unique challenges of its algorithmic side. From the perspective of mathematical-optimization methodology, MESP is rather unique (a 0/1 nonlinear program having a nonseparable objective function), and the algorithmic techniques employed are highly non-standard. In particular, successful techniques come from several disparate areas within the field of mathematical optimization; for example: convex optimization and duality, semidefinite programming, Lagrangian relaxation, dynamic programming, approximation algorithms, 0/1 optimization (e.g., branch-and-bound), extended formulation, and many aspects of matrix theory. The book is mainly aimed at graduate students and researchers in mathematical optimization and data analytics.
Publisher: Springer Nature
ISBN: 3031130782
Category : Mathematics
Languages : en
Pages : 206
Book Description
This monograph presents a comprehensive treatment of the maximum-entropy sampling problem (MESP), which is a fascinating topic at the intersection of mathematical optimization and data science. The text situates MESP in information theory, as the algorithmic problem of calculating a sub-vector of pre-specificed size from a multivariate Gaussian random vector, so as to maximize Shannon's differential entropy. The text collects and expands on state-of-the-art algorithms for MESP, and addresses its application in the field of environmental monitoring. While MESP is a central optimization problem in the theory of statistical designs (particularly in the area of spatial monitoring), this book largely focuses on the unique challenges of its algorithmic side. From the perspective of mathematical-optimization methodology, MESP is rather unique (a 0/1 nonlinear program having a nonseparable objective function), and the algorithmic techniques employed are highly non-standard. In particular, successful techniques come from several disparate areas within the field of mathematical optimization; for example: convex optimization and duality, semidefinite programming, Lagrangian relaxation, dynamic programming, approximation algorithms, 0/1 optimization (e.g., branch-and-bound), extended formulation, and many aspects of matrix theory. The book is mainly aimed at graduate students and researchers in mathematical optimization and data analytics.
The Children of Time
Author: Rémy Lestienne
Publisher: University of Illinois Press
ISBN: 9780252064272
Category : Mathematics
Languages : en
Pages : 244
Book Description
"A work of scientific substance and critical wisdom, developed in the urbane idiom of a French scholar." -- J. T. Fraser, founder, International Society for the Study of Time "This is the book for those of us who couldn't wade completely through Hawking's A Brief History of Time and now have it collecting dust on our bookshelves. Well written, thought-provoking, and, most important, understandable." -- Michael Epstein, analytical spectroscopist/chemist, National Institute of Standards and Technology What is time? Does it really pass? These and other fascinating questions about the nature of time animate a continuing philosophical and scientific debate. In this popular French book, now available for the first time in English; my Lestienne moves to make the bewildering concepts of time accessible--and interesting. He uses Galileo, Newton, Einstein, and others to demonstrate how the concepts of causality and entropy became so pervasive that they eventually were substituted for time itself. He also shows how recent advances in astronomy, particle physics, developmental life sciences, and the neurosciences are helping to shape a new philosophical vision of time.
Publisher: University of Illinois Press
ISBN: 9780252064272
Category : Mathematics
Languages : en
Pages : 244
Book Description
"A work of scientific substance and critical wisdom, developed in the urbane idiom of a French scholar." -- J. T. Fraser, founder, International Society for the Study of Time "This is the book for those of us who couldn't wade completely through Hawking's A Brief History of Time and now have it collecting dust on our bookshelves. Well written, thought-provoking, and, most important, understandable." -- Michael Epstein, analytical spectroscopist/chemist, National Institute of Standards and Technology What is time? Does it really pass? These and other fascinating questions about the nature of time animate a continuing philosophical and scientific debate. In this popular French book, now available for the first time in English; my Lestienne moves to make the bewildering concepts of time accessible--and interesting. He uses Galileo, Newton, Einstein, and others to demonstrate how the concepts of causality and entropy became so pervasive that they eventually were substituted for time itself. He also shows how recent advances in astronomy, particle physics, developmental life sciences, and the neurosciences are helping to shape a new philosophical vision of time.
Entropy Based Design and Analysis of Fluids Engineering Systems
Author: Greg F. Naterer
Publisher: CRC Press
ISBN: 1420006916
Category : Science
Languages : en
Pages : 346
Book Description
From engineering fluid mechanics to power systems, information coding theory and other fields, entropy is key to maximizing performance in engineering systems. It serves a vital role in achieving the upper limits of efficiency of industrial processes and quality of manufactured products. Entropy based design (EBD) can shed new light on various flow
Publisher: CRC Press
ISBN: 1420006916
Category : Science
Languages : en
Pages : 346
Book Description
From engineering fluid mechanics to power systems, information coding theory and other fields, entropy is key to maximizing performance in engineering systems. It serves a vital role in achieving the upper limits of efficiency of industrial processes and quality of manufactured products. Entropy based design (EBD) can shed new light on various flow
AECD
Author:
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 180
Book Description
Publisher:
ISBN:
Category : Nuclear energy
Languages : en
Pages : 180
Book Description