Mathematics

An Introduction to Machine Learning in Finance, With Mathematical Background, Data Visualization, and R Nonparametric function estimation is an important part of machine learning, which is becoming increasingly important in quantitative finance.

Die statistische Versuchsplanung (Design of Experiment, DoE) ist ein Verfahren zur Analyse von (technischen) Systemen.

Reviews and research articles summarizing a wide range of active research topics in fluid mechanics.

Applied Crowd Science outlines the theory and applications of the crowd safety course that Keith Still has developed and taught worldwide for over thirty years.

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts.

This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on "e;Optimization and Data Science: Trends and Applications"e;, held online, from February 8 to 12, 2021.

This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians.

This volume contains review articles and original results obtained in various fields of modern science using mathematical simulation methods.

This book covers four essential applied mathematics topics: Green''s functions, integral equations, Fourier transforms and Laplace transforms.

This textbook is devoted to second order linear partial differential equations.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

„Rechnen lernt man durch Rechnen“ – diesen plakativen Satz gab uns als Studenten einer unserer Professoren mit auf den Weg.

Modeling Ships and Space Craft: The Science and Art of Mastering the Oceans and Sky begins with the theories of Aristotle and Archimedes, moving on to examine the work of Froude and Taylor, the early aviators and the Wright Brothers, Goddard and the other rocket men, and the computational fluid dynamic models of our time.

Secrets of the Moon: Understanding and Analysing the Lunar Surface provides a unique account of the origin of key features on the lunar surface.

This brief presents a global perspective on the geometry of spaces of polynomials.

Spectral methods have long been popular in direct and large eddy simulation of turbulent flows, but their use in areas with complex-geometry computational domains has historically been much more limited.

Deeply rooted in fundamental research in Mathematics and Computer Science, Cellular Automata (CA) are recognized as an intuitive modeling paradigm for Complex Systems.

This book is devoted to research in the actual field of mathematical modeling in modern problems of plasma physics associated with vibrations and wake waves excited by a short high-power laser pulse.

Natural numbers are the oldest human inventions.

This book presents a detailed, self-contained theory of continuous mappings.

This volume consists of a selection of research-type articles on dynamical systems, evolution equations, analytic number theory and closely related topics.

This new edition covers some of the key topics relating to the latest version of MS Office through Excel 2019, including the creation of custom ribbons by injecting XML code into Excel Workbooks and how to link Excel VBA macros to customize ribbon objects.

Traditionally engineers devised communication services without reference to how they should be priced.

The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data.

This book constitutes the refereed proceedings of the 7th International Conference on Computers and Games, CG 2010, held in Kanazawa, Japan, in September 2010.

In this book, the basic notions and tools of unimodality as they relate to probability and statistics are presented.

This book provides a concise and comprehensive introduction to several basic methods with more attention to their theoretical basis and applications in fluid dynamics.

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems.

This textbook presents an overview of the field of demography from a contemporary perspective.

***Winner of the 2008 Ziegel Prize for outstanding new book of the year*** Structural equation modeling (SEM) is a powerful multivariate method allowing the evaluation of a series of simultaneous hypotheses about the impacts of latent and manifest variables on other variables, taking measurement errors into account.

This book presents analysis and design for a class of stochastic systems with semi-Markovian jump parameters.

VI Ein Beispiel für viele sei aus dem Abschnitt Testverfahren hervorgehoben.

Analytical Solution Methods for Boundary Value Problems is an extensively revised, new English language edition of the original 2011 Russian language work, which provides deep analysis methods and exact solutions for mathematical physicists seeking to model germane linear and nonlinear boundary problems.

VLSI Electronics Microstructure Science, Volume 10: Surface and Interface Effects in VLSI provides the advances made in the science of semiconductor surface and interface as they relate to electronics.

Current standard numerical methods are of little use in solving mathematical problems involving boundary layers.

This book treats the problem of phase transitions, emphasizing the generality and universality of the methods and models used.

This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems.

This book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy.

This book provides a deep understanding of the relationship between machine learning and causal inference.

Discrete Mathematics for Computing presents the essential mathematics needed for the study of computing and information systems.

Differential geometry and topology have become essential tools for many theoretical physicists.

Relational-Cultural theory (RCT) proposes that all people grow through and toward relationships throughout the lifespan.

Die Anwendung der Laplace-Transformation in den Naturwissenschaften und der Technik gewinnt ständig an Bedeutung.

The aim of this book is to present and analyse theoretical advances and also emerging practical applications of swarm and evolutionary intelligence.