Название: Math for Business and Economics: Compendium of Essential Formulas, 2nd Edition
Автор: Franz W. Peren
Издательство: Springer
Год: 2023
Страниц: 645
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This 2nd edition, revised and extended compendium contains and explains essential mathematical formulas within an economic context. Newly added content focuses on financial mathematics, now including an international comparison between different national methods used in the calculation of interest. Further, the annuity calculation now contains unique content. A broad range of aids and supportive examples will help readers to understand the formulas and their practical applications. This mathematical formulary is presented in a practice-oriented, clear, and understandable manner, as it is needed for meaningful and relevant application in global business, as well as in the academic setting and economic practice. The topics presented include, but are not limited to: mathematical signs and symbols, logic, arithmetic, algebra, linear algebra, combinatorics, financial mathematics, optimisation of linear models, functions, differential calculus, integral calculus, elasticities, economic functions, and the Peren Theorem. Given its scope, the book offers an indispensable reference guide and is a must-read for undergraduate and graduate students, as well as managers, scholars, and lecturers in business, politics, and economics.

Название: Applying Power Series to Differential Equations: An Exploration through Questions and Projects
Автор: James Sochacki, Anthony Tongen
Издательство: Springer
Серия: Problem Books in Mathematics
Год: 2023
Страниц: 220
Язык: английский
Формат: pdf (true), epub
Размер: 24.8 MB

This book is aimed to undergraduate STEM majors and to researchers using ordinary differential equations. It covers a wide range of STEM-oriented differential equation problems that can be solved using computational power series methods. Many examples are illustrated with figures and each chapter ends with discovery/research questions most of which are accessible to undergraduate students, and almost all of which may be extended to graduate level research. Methodologies implemented may also be useful for researchers to solve their differential equations analytically or numerically. The textbook can be used as supplementary for undergraduate coursework, graduate research, and for independent study. This text assumes that students have taken an elementary ODE course covering the basics mentioned above. This text could be used as a supplemental text in the upper-level undergraduate course discussed above. The material is intended for exploration and insight for these students, their instructors and, also, for scientists and engineers who encounter ODE dynamical systems in their work. This text can be used by instructors who desire interesting examples for these courses that highlight common ODE topics and demonstrate the strong relationship between ODEs, polynomials and power series solutions to these ODEs.

Название: Computer Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches
Автор: Rudrapal M., Egbuna C.
Издательство:Eslevier
Год:2022
Формат: PDF
Страниц:324
Размер: 12,6 МБ
Язык: English

Computer-Aided Drug Design (CADD): From Ligand-Based Methods to Structure-Based Approaches outlines the basic theoretical principles, methodologies and applications of different fundamental and advanced CADD approaches and techniques. Including information on current protocols as well as recent developments in the computational methods, tools and techniques used for rational drug design, the book explains the fundamental aspects of CADD, combining this with a practical understanding of the various in silico approaches used in modern drug discovery processes to assess the field in a comprehensive and systematic manner.

Название: The Invisible Power of Mathematics: The Pervasive Impact of Mathematical Engineering in Everyday Life
Автор: Giovanni Samaey, Joos P. L. Vandewalle
Издательство: Springer
Год: 2023
Страниц: 176
Язык: английский
Формат: pdf (true), epub
Размер: 19.8 MB

How does homebanking work? How are board games developed? How reliable can wind energy get? How do we discover forged paintings? Do smart girls stay single? How dangerous can a bioterrorist get? In all these questions (and many others), mathematics plays a crucial role in the search for an answer.​ This book tells the story behind twenty of these questions. This is explicitly not a mathematics book, but a book about the crucial role that mathematics plays in devising the creative solutions the world needs. The questions are divided into three categories: home, garden and kitchen mathematics; mathematics for the workplace; and mathematics for tomorrow's society. The themes illustrate not only the incredibly broad applicability of mathematics in the world around us, but also the great diversity of useful mathematical techniques.

Название: Fluorescent Dye Labels and Stains : A Database of Photophysical Properties
Автор: Tarso B. Ledur Kist
Издательство: Wiley
Год: 2023
Страниц: 498
Язык: английский
Формат: pdf (true)
Размер: 21.8 MB

Fluorescent Dye Labels and Stains The only comprehensive database of fluorophores and their physical and photochemical properties. Fluorophores are chemical compounds that strongly absorb in the ultraviolet, visible, and/or near-infrared and with bright emission in these ranges. As a result, they are exceptionally valuable as dyes for various analytical processes, capable of labelling and staining particular targets for purposes of fluorescent imaging, sensitive detection, and quantification (exhibiting linear responses over very wide concentration ranges). These compounds are many and varied, and panoramic views of their options, physical properties and their reactions to light excitations can be critical to their successful integration into chemical analysis, pharmaceutical analysis, clinical analysis, microscopies, optical bioimaging, cancer imaging, real-time PCR, flow cytometry, multiplexing in proteomics, life sciences in general, and many other high-tech fields (material sciences, traceability, photovoltaics, quantum computing).

Название: STEM Education with Robotics: Lessons from Research and Practice
Автор: Purvee Chauhan, Vikram Kapila
Издательство: Routledge
Год: 2023
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book offers a synthesis of research, curriculum examples, pedagogy models, and classroom recommendations for the effective use of robotics in STEM teaching and learning. Authors Chauhan and Kapila demonstrate how the use of educational robotics can improve and enhance student learning and understanding within the STEM disciplines. The science and technology of robotics design, manufacturing, and application has grown by leaps and bounds over the past decades. This revolution has been fueled by developments both in software (particularly Machine Learning and Artificial Intelligence) as well as better understanding of the mechanics of movement and object manipulation. In that sense, robotics is almost a perfect encapsulation and convergence of ideas in the STEM (science, technology engineering, and mathematics) disciplines.

Название: Математическое программирование в примерах и задачах: Учебное пособие для вузов. 4-е изд.
Автор: Акулич И.Л.
Издательство: Лань
Год: 2022
Страниц: 348
Язык: русский
Формат: pdf
Размер: 15,6 MB

В учебном пособии рассматриваются задачи линейного, нелинейного и динамического программирования. Приведены определения, формулы, а также методические указания, необходимые для решения задач; даны решения типовых задач, показаны возможности использования в этих целях различных пакетов прикладных программ. В конце каждого параграфа приведены задачи для самостоятельного решения. Учебное пособие предназначено для студентов, аспирантов и преподавателей вузов, изучающих экономико-математические методы и модели и их использование при решении практических задач.

Название: Neural Machines_A Defense of Non-Representationalism in Cognitive Neuroscience
Автор: Matej Kohar
Издательство: Springer
Год: 2023
Страниц: 199
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

In this book, Matej Kohar demonstrates how the new mechanistic account of explanation can be used to support a non-representationalist view of explanations in cognitive neuroscience, and therefore can bring new conceptual tools to the non-representationalist arsenal. Kohar focuses on the explanatory relevance of representational content in constitutive mechanistic explanations typical in cognitive neuroscience. The work significantly contributes to two areas of literature: 1) the debate between representationalism and non-representationalism, and 2) the literature on mechanistic explanation. The goal of cognitive neuroscience is to uncover neural mechanisms responsible for intelligent behaviour in humans and animals. Intelligent behaviour has traditionally been taken to include decision-making, use of language and other high-level cognitive phenomena. Over time, however, the scope of what is meant by intelligent behaviour for the purposes of determining the proper subject matter of cognitive sciences (including cognitive neuroscience) has expanded to include any context-dependent responses to stimuli. Cognitive neuroscience therefore engages in search for neural mechanisms underlying sensory perception, memory, navigation, object-recognition, tracking, avoidance, etc. That is, the scope of cognitive neuroscience covers the search for neural mechanisms all the way from sensory processing, through response selection to motor control.

Название: Numbercrunch: A Mathematician's Toolkit for Making Sense of Your World
Автор: Oliver Johnson
Издательство: Heligo Books
Год: 2023
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Our everyday lives are increasingly ruled by data and by algorithms. We can make ourselves understood by talking to Siri, and instantaneously receive almost professional-quality translations of foreign language text using Google Translate. Netflix can match our previous viewing to profiles of similar users, to recommend the next box set that we are most likely to get hooked on. However, it may be less obvious that this kind of ‘Artificial Intelligence’ or ‘Machine Learning’ emerged from mathematics and from statistics. These ideas have had a rebrand for the 21st century and been supercharged by ever-increasing computing power, but it’s always mathematics under the bonnet. These Silicon Valley marvels rely on ideas like the geometry of clouds of points in a world of millions of dimensions, techniques for finding structure and form in randomness and mathematically rigorous ways of dealing with vast amounts of data. Most people don’t know what a professional mathematician does all day. Perhaps they imagine that we are memorising harder and harder times tables (‘one 19,573 is 19,573, two 19,573s are 39,146’) or competing to see who can remember the most digits of pi. Maybe they imagine a dusty old man writing incomprehensible chalk equations full of Greek letters on a blackboard (and to be fair, this isn’t always so far wrong). Some of this is the mathematicians’ fault. We haven’t exactly gone out of our way to explain why what we do matters. This book is an attempt to redress that balance.

Название: Practical Time Series Analysis in Natural Sciences
Автор: Victor Privalsky
Издательство: Springer
Год: 2023
Страниц: 209
Язык: английский
Формат: pdf (true), epub
Размер: 20.08 MB

This book presents an easy-to-use tool for time series analysis and allows the user to concentrate upon studying time series properties rather than upon how to calculate the necessary estimates. The two attached programs provide, in one run of the program, a time and frequency domain description of scalar or multivariate time series approximated with a sequence of autoregressive models of increasing orders. The optimal orders are chosen by five order selection criteria. The results for scalar time series include time domain stochastic difference equations, spectral density estimates, predictability properties, and a forecast of scalar time series based upon the Kolmogorov-Wiener theory. For the bivariate and trivariate time series, the results contain a time domain description with multivariate stochastic difference equations, statistical predictability criterion, and information for calculating feedback and Granger causality properties in the bivariate case. The frequency domain information includes spectral densities, ordinary, multiple, and partial coherence functions, ordinary and multiple coherent spectra, gain, phase, and time lag factors. The programs seem to be unique and using them does not require professional knowledge of theory of random processes. The book contains many examples including three from engineering.