Applied mathematics

Principles of Solar Engineering, Fourth Edition addresses the need for solar resource assessment and highlights improvements and advancements involving photovoltaics and solar thermal technologies, grid power, and energy storage.

While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available.

The Final Volume of the Groundbreaking Trilogy on Agent-Based ModelingIn this pioneering synthesis, Joshua Epstein introduces a new theoretical entity: Agent_Zero.

The engineering of materials with advanced features is driving the research towards the design of innovative materials with high performances.

The book reviews the application of discrete fractional operators in diverse fields such as biological and chemical reactions, as well as chaotic systems, demonstrating their applications in physics.

This essential book is the first comprehensive exposition in the area of optimal low-thrust orbit transfer using non-singular variables.

This book is the first comprehensive book about reservoir computing (RC).

More than 20 years of experience in molecular structure generation, from conceptualization through to applications Innovative, interdisciplinary text demonstrating example queries with software packages such as MOLGEN-online Detailed explanations on establishing QSPRs and QSARs as well as structure elucidation using mass spectrometry and structure generation.

Revised and updated, this second edition of Walter Gautschi's successful Numerical Analysis explores computational methods for problems arising in the areas of classical analysis, approximation theory, and ordinary differential equations, among others.

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians, engineers, scientists, and other STEM researchers.

This book constitutes the proceedings of the 16th International Conference on Information Technologies and Mathematical Modelling, ITMM 2017, held in Kazan, Russia, in September/October 2017.

Optimization in Solving Elliptic Problems focuses on one of the most interesting and challenging problems of computational mathematics - the optimization of numerical algorithms for solving elliptic problems.

Stochastik ist die Mathematik des Zufalls.

Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more.

This book provides the dynamics of non-equilibrium dissipative systems with asymmetric interactions (Asymmetric Dissipative System; ADS).

This book contains fundamental concepts on discrete mathematical structures in an easy to understand style so that the reader can grasp the contents and explanation easily.

This book studies several problems related to the analysis of planned or possible spacecraft missions.

A zebrafish, the hull of a miniature ship, a mathematical equation and a food chain - what do these things have in common?

This book explains the key features of Maple, with a focus on showing how things work, and how to avoid common problems.

The book aims to provide comprehensive knowledge and information pertaining to application or implementation of big data in the petroleum industry and its operations (such as exploration, production, refining and finance).

Originally published in 1937.

Boolean functions are the building blocks of symmetric cryptographic systems.

This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences.

Finite element analysis has become the most popular technique for studying engineering structures in detail.

This book is the first of a set dedicated to the mathematical tools used in partial differential equations derived from physics.

This book explores boundary value problems for fractional dynamic equations on arbitrary time scales, including Caputo fractional dynamic equations, impulsive Caputo fractional dynamic equations, and impulsive Riemann-Liouville fractional dynamic equations.

After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, Vector Control of Induction Machines introduces the standard mathematical models for induction machines - whichever rotor technology is used - as well as several squirrel-cage induction machine vector-control strategies.

This book explores the rise of theoretical physics in 19th century Germany.

This book discusses energy transfer, fluid flow and pollution in built environments.

This book leads readers from a basic foundation to an advanced level understanding of dynamical and complex systems.

An essential textbook for any biologist needing to design experiments, sample programs or analyse the resulting data.

This book covers major measure theory topics with a fairly extensive study of their applications to probability and analysis.

This book introduces ten equations that transcend the boundaries of time and space.

Quantum Theory of Solids presents a concisely-structured tour of the theory relating to chemical bonding and its application to the three most significant topics in solid state physics: semiconductors, magnetism, and superconductivity--topics that have seen major advances in recent years.

An easy to understand guide covering key principles of mathematical modelling and simulation in chemical engineering.

In today's manufacturing environment, managing inventories is one of the basic concerns of enterprises dealing with materials according to their activities.

This book describes how the rapid advancement in encryption and network computing gave birth to new tools and products that have influenced the local and global economy alike.

This is an introductory-level text on stochastic modeling.

Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers.

This book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry.

Magnetic energy release plays an important role in a wide variety of cosmic objects such as the Sun, stellar coronae, stellar and galactic accretion disks and pulsars.

System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.