Download or read book Acta mathematica written by and published by . This book was released on 1922 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Revista di scienza organo internazionale di sintesi scientifica written by and published by . This book was released on 1943 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Calculus written by Martin Baxter and published by Cambridge University Press. This book was released on 1996-09-19 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rewards and dangers of speculating in the modern financial markets have come to the fore in recent times with the collapse of banks and bankruptcies of public corporations as a direct result of ill-judged investment. At the same time, individuals are paid huge sums to use their mathematical skills to make well-judged investment decisions. Here now is the first rigorous and accessible account of the mathematics behind the pricing, construction and hedging of derivative securities. Key concepts such as martingales, change of measure, and the Heath-Jarrow-Morton model are described with mathematical precision in a style tailored for market practitioners. Starting from discrete-time hedging on binary trees, continuous-time stock models (including Black-Scholes) are developed. Practicalities are stressed, including examples from stock, currency and interest rate markets, all accompanied by graphical illustrations with realistic data. A full glossary of probabilistic and financial terms is provided. This unique book will be an essential purchase for market practitioners, quantitative analysts, and derivatives traders.

Download or read book Partial Differential Equations in Action written by Sandro Salsa and published by Springer. This book was released on 2015-05-30 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents problems and exercises at various levels of difficulty in the following areas: Classical Methods in PDEs (diffusion, waves, transport, potential equations); Basic Functional Analysis and Distribution Theory; Variational Formulation of Elliptic Problems; and Weak Formulation for Parabolic Problems and for the Wave Equation. Thanks to the broad variety of exercises with complete solutions, it can be used in all basic and advanced PDE courses.

Download or read book Partial Differential Equations in Action written by Sandro Salsa and published by Springer. This book was released on 2015-04-24 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is intended as an advanced undergraduate or first-year graduate course for students from various disciplines, including applied mathematics, physics and engineering. It has evolved from courses offered on partial differential equations (PDEs) over the last several years at the Politecnico di Milano. These courses had a twofold purpose: on the one hand, to teach students to appreciate the interplay between theory and modeling in problems arising in the applied sciences, and on the other to provide them with a solid theoretical background in numerical methods, such as finite elements. Accordingly, this textbook is divided into two parts. The first part, chapters 2 to 5, is more elementary in nature and focuses on developing and studying basic problems from the macro-areas of diffusion, propagation and transport, waves and vibrations. In turn the second part, chapters 6 to 11, concentrates on the development of Hilbert spaces methods for the variational formulation and the analysis of (mainly) linear boundary and initial-boundary value problems.

Download or read book The First Three Sections of Newton s Principia written by Isaac Newton and published by . This book was released on 1871 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The System Of The World written by Neal Stephenson and published by Random House. This book was released on 2012-06-30 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neal Stephenson follows his highly-praised historical novels, Quicksilver and The Confusion, with the extraordinary third and final volume of the Baroque Cycle. The year is 1714. Daniel Waterhouse has returned to England, where he joins forces with his friend Isaac Newton to hunt down a shadowy group attempting to blow up Natural Philosophers with 'Infernal Devices' - time bombs. As Daniel and Newton conspire, an increasingly vicious struggle is waged for England's Crown: who will take control when the ailing queen dies? Tories and Whigs clash as one faction jockeys to replace Queen Anne with 'The Pretender' James Stuart, and the other promotes the Hanoverian dynasty of Princess Caroline. Meanwhile, a long-simmering dispute between Newton and Gottfried Wilhelm Leibniz comes to a head, with potentially cataclysmic consequences. Wildly inventive, brilliantly conceived, The System of the World is the final volume in Neal Stephenson's hugely ambitious and compelling saga. Filled with a remarkable cast of characters in a time of genius, discovery and change, the Baroque Cycle is a magnificent and unique achievement.

Download or read book Analisi matematica II written by Claudio Canuto and published by Springer Science & Business Media. This book was released on 2012-01-19 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Il testo intende essere di supporto ad un secondo insegnamento di Analisi Matematica secondo i principi dei nuovi Ordinamenti Didattici. E' in particolare pensato per quei corsi di studio (quali ad esempio Ingegneria, Informatica, Fisica) in cui lo strumento matematico è ̈ parte significativa della formazione. I concetti e i metodi fondamentali del calcolo differenziale ed integrale di più variabili, le serie di funzioni e le equazioni differenziali ordinarie sono presentati con l'obiettivo primario di addestrare lo studente ad un loro uso operativo, ma critico. L'impostazione didattica del testo ricalca quella usata per l'Analisi I. La modalità di presentazione degli argomenti permette un uso flessibile e modulare del testo, in modo da rispondere alle diverse possibili scelte didattiche nell'organizzazione di un corso di Analisi Matematica. Numerosi esempi corredano e illustrano le definizioni e le proprietà di volta in volta enunciate. Viene fornito un cospicuo numero di esercizi, tutti con la relativa soluzione. Per oltre la metà di essi si delinea in modo completo il procedimento risolutivo.

Download or read book Principles of Copula Theory written by Fabrizio Durante and published by CRC Press. This book was released on 2015-07-01 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives readers the solid and formal mathematical background to apply copulas to a range of mathematical areas, such as probability, real analysis, measure theory, and algebraic structures. The authors prove the results as simply as possible and unify various methods scattered throughout the literature in common frameworks, including shuffles of copulas. They also explore connections with related functions, such as quasi-copulas, semi-copulas, and triangular norms, that have been used in different domains.

Download or read book Dependence Modeling written by Harry Joe and published by World Scientific. This book was released on 2011 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. Introduction : Dependence modeling / D. Kurowicka -- 2. Multivariate copulae / M. Fischer -- 3. Vines arise / R.M. Cooke, H. Joe and K. Aas -- 4. Sampling count variables with specified Pearson correlation : A comparison between a naive and a C-vine sampling approach / V. Erhardt and C. Czado -- 5. Micro correlations and tail dependence / R.M. Cooke, C. Kousky and H. Joe -- 6. The Copula information criterion and Its implications for the maximum pseudo-likelihood estimator / S. Gronneberg -- 7. Dependence comparisons of vine copulae with four or more variables / H. Joe -- 8. Tail dependence in vine copulae / H. Joe -- 9. Counting vines / O. Morales-Napoles -- 10. Regular vines : Generation algorithm and number of equivalence classes / H. Joe, R.M. Cooke and D. Kurowicka -- 11. Optimal truncation of vines / D. Kurowicka -- 12. Bayesian inference for D-vines : Estimation and model selection / C. Czado and A. Min -- 13. Analysis of Australian electricity loads using joint Bayesian inference of D-vines with autoregressive margins / C. Czado, F. Gartner and A. Min -- 14. Non-parametric Bayesian belief nets versus vines / A. Hanea -- 15. Modeling dependence between financial returns using pair-copula constructions / K. Aas and D. Berg -- 16. Dynamic D-vine model / A. Heinen and A. Valdesogo -- 17. Summary and future directions / D. Kurowicka

Download or read book Mathematical Modeling in Economics and Finance Probability Stochastic Processes and Differential Equations written by Steven R. Dunbar and published by American Mathematical Soc.. This book was released on 2019-04-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modeling in Economics and Finance is designed as a textbook for an upper-division course on modeling in the economic sciences. The emphasis throughout is on the modeling process including post-modeling analysis and criticism. It is a textbook on modeling that happens to focus on financial instruments for the management of economic risk. The book combines a study of mathematical modeling with exposure to the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis. Students taking a course from Mathematical Modeling in Economics and Finance will come to understand some basic stochastic processes and the solutions to stochastic differential equations. They will understand how to use those tools to model the management of financial risk. They will gain a deep appreciation for the modeling process and learn methods of testing and evaluation driven by data. The reader of this book will be successfully positioned for an entry-level position in the financial services industry or for beginning graduate study in finance, economics, or actuarial science. The exposition in Mathematical Modeling in Economics and Finance is crystal clear and very student-friendly. The many exercises are extremely well designed. Steven Dunbar is Professor Emeritus of Mathematics at the University of Nebraska and he has won both university-wide and MAA prizes for extraordinary teaching. Dunbar served as Director of the MAA's American Mathematics Competitions from 2004 until 2015. His ability to communicate mathematics is on full display in this approachable, innovative text.

Download or read book Hands On Machine Learning with R written by Brad Boehmke and published by CRC Press. This book was released on 2019-11-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.

Download or read book Machine Learning in Business written by JOHN. HULL C and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The big data revolution is changing the way businesses operate and the skills required by managers. In creating the third edition, John Hull has continued to improve his material and added many new examples. The book explains the most popular machine learning algorithms clearly and succinctly; provides many examples of applications of machine learning in business; provides the knowledge managers need to work productively with data science professionals; has an accompanying website with data, worksheets, and Python code"--Back of cover.

Download or read book Analisi Matematica II written by Claudio Canuto and published by Springer. This book was released on 2014-10-13 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Il presente testo intende essere di supporto ad un secondo insegnamento di Analisi Matematica in quei corsi di studio (quali ad esempio Ingegneria, Informatica, Fisica) in cui lo strumento matematico parte significativa della formazione dell'allievo. I concetti e i metodi fondamentali del calcolo differenziale ed integrale in più variabili, le serie di funzioni e le equazioni differenziali ordinarie sono presentati con l'obiettivo primario di addestrare lo studente ad un loro uso operativo, ma critico. L'impostazione didattica dell'opera ricalca quella usata nel testo parallelo di Analisi Matematica I. La modalità di presentazione degli argomenti ne permette un uso flessibile e modulare. Lo stile adottato privilegia la chiarezza e la linearità dell'esposizione. Il testo organizzato su due livelli di lettura. Uno, più essenziale, permette allo studente di cogliere i concetti indispensabili della materia, di familiarizzarsi con le relative tecniche di calcolo e di trovare le giustificazioni dei principali risultati. L'altro, più approfondito e basato anche sullo studio del materiale presentato nelle appendici, permette all'allievo maggiormente motivato ed interessato di arricchire la sua preparazione. Numerosi esempi corredano e illustrano le definizioni e le proprietà di volta in volta enunciate. Viene fornito un cospicuo numero di esercizi, tutti con la relativa soluzione. Per oltre la metà di essi si delinea in modo completo il procedimento risolutivo. Questa nuova edizione si presenta arricchita di contenuti rispetto alla precedente in modo da rispondere alle diverse possibili scelte didattiche nell'organizzazione di un secondo corso di Analisi Matematica. Il presente testo intende essere di supporto ad un secondo insegnamento di Analisi Matematica in quei corsi di studio (quali ad esempio Ingegneria, Informatica, Fisica) in cui lo strumento matematico parte significativa della formazione dell'allievo. I concetti e i metodi fondamentali del calcolo differenziale ed integrale in più variabili, le serie di funzioni e le equazioni differenziali ordinarie sono presentati con l'obiettivo primario di addestrare lo studente ad un loro uso operativo, ma critico. L'impostazione didattica dell'opera ricalca quella usata nel testo parallelo di Analisi Matematica I. La modalità di presentazione degli argomenti ne permette un uso flessibile e modulare. Lo stile adottato privilegia la chiarezza e la linearità dell'esposizione. Il testo organizzato su due livelli di lettura. Uno, più essenziale, permette allo studente di cogliere i concetti indispensabili della materia, di familiarizzarsi con le relative tecniche di calcolo e di trovare le giustificazioni dei principali risultati. L'altro, più approfondito e basato anche sullo studio del materiale presentato nelle appendici, permette all'allievo maggiormente motivato ed interessato di arricchire la sua preparazione. Numerosi esempi corredano e illustrano le definizioni e le proprietà di volta in volta enunciate. Viene fornito un cospicuo numero di esercizi, tutti con la relativa soluzione. Per oltre la metà di essi si delinea in modo completo il procedimento risolutivo. Questa nuova edizione si presenta arricchita di contenuti rispetto alla precedente in modo da rispondere alle diverse possibili scelte didattiche nell'organizzazione di un secondo corso di Analisi Matematica. Il presente testo intende essere di supporto ad un secondo insegnamento di Analisi Matematica in quei corsi di studio (quali ad esempio Ingegneria, Informatica, Fisica) in cui lo strumento matematico parte significativa della formazione dell'allievo. I concetti e i metodi fondamentali del calcolo differenziale ed integrale in più variabili, le serie di funzioni e le equazioni differenziali ordinarie sono presentati con l'obiettivo primario di addestrare lo studente ad un loro uso operativo, ma critico. L'impostazione didattica dell'opera ricalca quella usata nel testo parallelo di Analisi Matematica I. La modalità di presentazione degli argomenti ne permette un uso flessibile e modulare. Lo stile adottato privilegia la chiarezza e la linearità dell'esposizione. Il testo organizzato su due livelli di lettura. Uno, più essenziale, permette allo studente di cogliere i concetti indispensabili della materia, di familiarizzarsi con le relative tecniche di calcolo e di trovare le giustificazioni dei principali risultati. L'altro, più approfondito e basato anche sullo studio del materiale presentato nelle appendici, permette all'allievo maggiormente motivato ed interessato di arricchire la sua preparazione. Numerosi esempi corredano e illustrano le definizioni e le proprietà di volta in volta enunciate. Viene fornito un cospicuo numero di esercizi, tutti con la relativa soluzione. Per oltre la metà di essi si delinea in modo completo il procedimento risolutivo. Questa nuova edizione si presenta arricchita di contenuti rispetto alla precedente in modo da rispondere alle diverse possibili scelte didattiche nell'organizzazione di un secondo corso di Analisi Matematica. Il presente testo intende essere di supporto ad un secondo insegnamento di Analisi Matematica in quei corsi di studio (quali ad esempio Ingegneria, Informatica, Fisica) in cui lo strumento matematico parte significativa della formazione dell'allievo. I concetti e i metodi fondamentali del calcolo differenziale ed integrale in più variabili, le serie di funzioni e le equazioni differenziali ordinarie sono presentati con l'obiettivo primario di addestrare lo studente ad un loro uso operativo, ma critico. L'impostazione didattica dell'opera ricalca quella usata nel testo parallelo di Analisi Matematica I. La modalità di presentazione degli argomenti ne permette un uso flessibile e modulare. Lo stile adottato privilegia la chiarezza e la linearità dell'esposizione. Il testo organizzato su due livelli di lettura. Uno, più essenziale, permette allo studente di cogliere i concetti indispensabili della materia, di familiarizzarsi con le relative tecniche di calcolo e di trovare le giustificazioni dei principali risultati. L'altro, più approfondito e basato anche sullo studio del materiale presentato nelle appendici, permette all'allievo maggiormente motivato ed interessato di arricchire la sua preparazione. Numerosi esempi corredano e illustrano le definizioni e le proprietà di volta in volta enunciate. Viene fornito un cospicuo numero di esercizi, tutti con la relativa soluzione. Per oltre la metà di essi si delinea in modo completo il procedimento risolutivo. Questa nuova edizione si presenta arricchita di contenuti rispetto alla precedente in modo da rispondere alle diverse possibili scelte didattiche nell'organizzazione di un secondo corso di Analisi Matematica.

Download or read book Introduction to Data Science and Machine Learning written by Keshav Sud and published by BoD – Books on Demand. This book was released on 2020-03-25 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.

Download or read book Calcolo differenziale ed integrale written by G. Riccardi and published by Springer Science & Business Media. This book was released on 2004-08-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Il libro fa parte della serie UNITEXT - LA MATEMATICA PER IL 3+2. Gli argomenti sono trattati in modo non formale e direttamente orientato alle applicazioni, in modo da semplificare la lettura ad un pubblico non specialista e suscitando, al contempo, l'interesse del lettore verso le applicazioni dell'analisi matematica.

Download or read book Fundamentals of Statistical Hydrology written by Mauro Naghettini and published by Springer. This book was released on 2016-10-26 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.