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Antonius B. Dieker, Steven T. Hackman
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

Springer Series in Operations Research and Financial Engineering

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Stochastic Geometry: Percolation, Tesselations, Gaussian Fields and Point Processes

Lecture Notes in Mathematics - Band 2365

This volume covers a broad spectrum of topics in stochastic geometry, including percolation, tessellations, Gaussian fields and point processes. Based on lectures given at the Stochastic Geometry Days hel…

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Mike Nguyen
Experimental Design

This volume provides a comprehensive introduction to the principles and practices of experimental design, a cornerstone of empirical research across disciplines. Covering foundational topics such as sampl…

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Tools for High Performance Computing 2023

High Performance Computing (HPC) continues to play a pivotal role in numerical simulation, modeling, and data-driven discovery across computational science, academic research, and industry. At the same ti…

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Alexander Melnikov
A Course of Stochastic Analysis

CMS/CAIMS Books in Mathematics - Band 17

This thoroughly updated second edition offers a unified, modern pathway from the Kolmogorov foundations of probability to the tools of stochastic calculus---and on to applications in finance, statistics, …

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New Trends in Computational Engineering

Lecture Notes in Computational Science and Engineering - Band 150

The book is the proceedings of the 5^th^ International Conference on Computational Engineering (ICCE 2024), Darmstadt, Germany, 30th September to 2nd October, 2024. Computational Engineering is a modern a…

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Active Particles, Volume 4

Modeling and Simulation in Science, Engineering and Technology

This edited volume collects nine surveys that present the state-of-the-art in modeling, qualitative analysis, and simulation of active particles, focusing on specific applications in the natural sciences.…

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Ilija Barukcic
Theoriae causalitatis principia mathematica

Dive into a treasure trove of knowledge with over 1,332 equations, 34 detailed figures, and 81 comprehensive tables. Perfect for students, researchers, and enthusiasts seeking clarity and precision. This …

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Handbook of Blockchain Analytics

This handbook delves into the multifaceted domain of blockchain technology and its applications, offering insights across technological, economic, and practical dimensions. It is divided into several part…

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Numerical Geometry, Grid Generation and Scientific Computing

Lecture Notes in Computational Science and Engineering - Band 152

This volume presents a selection of papers presented at the 11th International Conference on Numerical Geometry, Grid Generation, and Scientific Computing held December 12-14, 2022 in memory of Sergei Ale…

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Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 2

Lecture Notes in Computational Science and Engineering - Band 154

This book gathers outstanding papers presented at the European Conference on Numerical Mathematics and Advanced Applications, ENUMATH 2023. The conference was held in Lisbon, Portugal, in September 2023. …

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Micha¿ Chorowski, Tomasz Gubiec, Ryszard Kutner
Anomalous Stochastics

Understanding Complex Systems

This textbook provides a comprehensive exploration of anomalous stochastic processes and extreme events, commonly referred to as "black swans," with a particular focus on (multi-)fractal approac…

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Nonlinear Dispersive Waves

Advances in Mathematical Fluid Mechanics

This volume explores a number of exciting developments in the field of nonlinear dispersive waves with a particular focus on waves arising in the ocean. Chapters are based on talks given at the workshop &…

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Hai-Dang Nguyen, George Yin, Chao Zhu
Hybrid Switching Diffusions

This thoroughly revised and expanded edition presents a comprehensive study of hybrid switching diffusion processes and their wide-ranging applications. These processes, which combine continuous dynamics …

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Biostatistics in Biopharmaceutical Research and Development

The Deming Conference on Applied Statistics has long been deemed an influential event in the biostatistics and biopharmaceutical profession. It provides learning experience on recent developments in stati…

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Wilfredo Urbina-Romero, Ricardo Rios
An Introduction to the Modern Martingale Theory and Applications

Texts in Applied Mathematics - Band 81

Martingale theory is a cornerstone of modern probability, offering a natural extension of the study of sums of independent random variables. Although its roots can be traced back to the work of Paul Lévy …

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Giorgio Picci
An Introduction to Statistical Data Science

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aime…

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Algorithms and Computational Theory for Engineering Applications

Advances in Science, Technology & Innovation

This book goes deeply into the world of algorithms and computational theory and its astounding influence on numerous engineering areas. The book's carefully chosen content highlights the most recent studi…

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Pablo Braz E Silva, Enrique Fernandez-Cara, Marko Antonio Rojas-Medar
Analysis and Control of the Variable Density Incompressible Navier-Stokes Equations

MS&A - Band 22

The main objective of this book is to provide an introductory study to the variable density incompressible Navier-Stokes equations. We will deal with their motivation, the main related mathematical proble…

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