Ebooks
Materiały poliuretanowe wytwarzane z zastosowaniem surowców odnawialnych
Joanna Ryszkowska
Przedmiotem badań wielu ośrodków naukowych jest wykorzystanie surowców naturalnych, będących produktami ubocznymi z produkcji innych branż przemysłu, rolnictwa i gospodarki leśnej, jako napełniaczy m.in. do wytwarzania materiałów poliuretanowych, a zwłaszcza kompozytów pianek poliuretanowych. W prezentowanej książce podsumowano wybrane wyniki takich badań, prowadzonych we współpracy z przemysłem, a dotyczących zastosowań biopolioli i napełniaczy pozyskanych z produktów ubocznych z przemysłu rolno-spożywczego, do wytwarzania elastomerów poliuretanowych i rożnych grup pianek poliuretanowych. Opracowanie technologii produkcji materiałów poliuretanowych z zastosowaniem surowców odnawialnych wymaga poznania zależności między rodzajem zastosowanych biopolioli i napełniaczy naturalnych, a ich strukturą i właściwościami. Dlatego autorzy monografii wiele uwagi poświęcili przedstawieniu mechanizmów reakcji zachodzących w procesie przetwórstwa pianek poliuretanowych, koncentrując się na opisie pianek elastycznych, w tym zwłaszcza pianek lepkosprężystych.
Magdalena Witkiewicz
Przygoda kryje się na każdym kroku, a wakacyjny czas sprzyja rozwiązywaniu zagadek! Matewka kończy drugą klasę. Z niecierpliwością i ekscytacją czeka na wakacje. Jak co roku wyjeżdża wraz z siostrą na Kaszuby. Tym razem wyruszą wspólnie na poszukiwanie skarbu. Czy skarb okaże się wartościowy, czy jednak wręcz przeciwnie? Czy warto zawsze wierzyć w prawdomówność dorosłych? Dlaczego ciotka Franka mówiła czule do ryżu? Niesamowite przygody, niespodziewane zwroty akcji i bohaterowie, którzy sprawią, że nawet dorośli znów zapragną być dziećmi!
Mathcad. Zbiór zadań dla inżynierów
Tadeusz Białoń
Poznaj Mathcada - najlepsze narzędzie do obliczeń inżynierskich Niezbędna teoria w zasięgu ręki Praktyczne przykłady zastosowań Zadania prezentujące funkcje programu Mathcad to wszechstronny program komputerowy do przeprowadzania obliczeń matematycznych i wizualizacji ich wyników. Jego możliwości i elastyczność sprawiły, że narzędzie zdobyło rzeszę wiernych użytkowników oraz znalazło szereg zastosowań w różnych dziedzinach nauki i techniki. Jak każde złożone oprogramowanie, Mathcad wymaga nauki, a tę najlepiej prowadzić na praktycznych przykładach. Książka zawiera 30 ciekawych, obszernych zadań, z których każde jest poświęcone innemu problemowi inżynierskiemu, matematycznemu lub naukowemu. Rozwiązywanie kolejnych ćwiczeń umożliwia stopniowe zapoznawanie się ze sposobem tworzenia arkuszy obliczeniowych w programie Mathcad. Zaproponowane zadania mają dużą wartość popularnonaukową, w przystępny sposób prezentują szeroki zakres zagadnień, w których stosowane są techniki komputerowego wspomagania obliczeń. Zbiór zadań jest przeznaczony do wykorzystania na kursach i zajęciach dydaktycznych prowadzonych na wczesnych latach studiów. Teoria potrzebna do wykonania każdego ćwiczenia została podana w jego wstępie, nie jest więc potrzebne korzystanie z innej literatury. Ponadto w opisach rozwiązań uwzględniono sposoby, w jakie można skontrolować poprawność działania utworzonego arkusza kalkulacyjnego, dzięki czemu książka może posłużyć również do samodzielnej pracy z oprogramowaniem Mathcad. Zadania opracowano pod kątem rozwiązywania w dwóch wersjach programu Mathcad, najnowszej Prime oraz starszej 15, wciąż dostępnej w sprzedaży i nadal bardzo popularnej.
Sergiy Suchok
There are many algorithms for data analysis and it’s not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis.If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure.With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight the nuances and features of this system, allowing you to build effective analysis systems.With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel.
Nazmus Saquib
If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
Mercury Learning and Information, C. P. Kothandaraman
This course serves as a comprehensive reference guide for engineers, mathematicians, scientists, and industry professionals, covering essential mathematical formulas and key scientific data. It is divided into two parts: mathematical formulas including algebra, trigonometry, analytic geometry, differential and integral calculus, and vectors; and scientific data covering units, properties of gases, elements, acoustics, materials, thermodynamics, radioactivity, and more.Understanding these concepts is crucial for professionals, providing a solid foundation for their work. The course explains technical terms, theorems, and applicable laws in detail, ensuring clarity and practical understanding. Each chapter provides valuable insights and data fundamental for scientific and engineering applications.Starting with algebra and geometry, the course advances through calculus and vectors, then explores scientific data in various fields. By the end, users will have a thorough reference of critical formulas and data, making it indispensable for students and professionals. This structured approach ensures learners gain both theoretical knowledge and practical applications essential for their careers.
Mathematical Transgressions 2015
praca zbiorowa
During the last decades of the 20th century, we have entered the Digital Era. The Third Technological Revolution has an enormous socioeconomic impact. It affects modern science, including mathematics. It also determines the reforms of national education systems. Mathematicians seek to focus on the so-called concrete mathematics. They explore finite and discrete structures, rather than infinite and continuous ones. They prefer to develop combinatorics and algorithmic thinking, rather than contribute to Bourbaki’s edifice. Mathematics itself is expanding its boundaries by merging with computer science, while symbolic computations as well as computer-assisted and automated proofs are transforming it into a quasi-empirical science. We should agree that mathematics is no longer the Queen of the Sciences; while it is still believed to be the basis of modern education, its role needs to be re-defined. It is necessary to address this challenge. The first step in this direction consists of the adoption of a new perspective. The Latin word transgressio means an act that goes beyond generally accepted boundaries. This monograph draws together papers written by mathematicians, educators, pedagogues, psychologists, and philosophers. Their aim is to identify a new role of mathematics and mathematics education in the modern world. P.B.
Mercury Learning and Information, Paul Turner, Justine...
This book is designed for students, faculty, and professionals, describing the role of mathematics in economics and business. Starting with the basics of numbers and advancing into complex topics like hyperreal numbers and set theory, the book builds a strong foundation of mathematical concepts. Python code is used throughout to illustrate problems numerically, making the material accessible and practical.Readers will learn about linear simultaneous equations for market equilibrium analysis and the mechanics of matrices for solving larger systems. The book covers calculus, with applications in economics, including profit maximization and factor optimization, and introduces infinitesimal methods. Chapters on differential and difference equations reveal their importance in analyzing dynamic systems, all illuminated through practical examples and images from economics and business.The course begins with fundamental mathematical concepts, advancing to complex applications in economics and business. By integrating computational understanding with Python code, the book ensures learners can tackle real-world problems. This structured approach provides the tools needed for economic analysis and business decision-making, making it an invaluable resource for anyone in these fields.
Mathematics for Business. Explore Essential Mathematical Concepts and Techniques for Decision Making
Mercury Learning and Information, Gary Bronson, Richard...
This course provides a comprehensive understanding of quantitative methods essential for economic forecasting, resource allocation, portfolio analysis, inventory management, data-mining, and addressing social and climate challenges. Starting with foundational topics like finite mathematics and the mathematics of finance, it progresses to differential calculus, optimization, and curve fitting. These concepts are vital for solving contemporary business problems.Learners will explore algebra, finite math, finance mathematics, calculus, optimization techniques, and curve fitting, applying these methods to realistic business scenarios. Topics include cash flow, amortization, interest, loans, annuities, revenue/cost models, break-even analysis, inventory control, and econometrics. Each section includes extensive examples and exercises, reinforced by key terms and concepts, making the material accessible and practical.The course begins with basic mathematical concepts and advances through increasingly complex topics. By the end, learners will have the tools to tackle various business problems using quantitative methods, making this course invaluable for anyone in the business field. This structured approach ensures both theoretical knowledge and practical application, preparing learners for real-world challenges.
Mercury Learning and Information, D. P. Kothari,...
This book explains the mathematical concepts in computer graphics, ideal for courses in graphics, engineering, game development, and industry professionals. It starts with how images are generated on screens and covers algorithms for creating simple geometry. The book progresses through two-dimensional and three-dimensional transformations, parametric representation of planar and space curves like cubic splines and Bezier curves. It also includes programming in C, OpenGL, and methods for generating 3D models.The course begins with an introduction to computer graphics and vector representation of geometric entities. It then covers 2D and 3D transformations, parametric representation of curves and surfaces, windowing and clipping, and generating 3D models. The final chapters focus on projections and programming graphics using C and OpenGL.Understanding these concepts is crucial for mastering computer graphics. This book transitions readers from basic concepts to advanced techniques, blending theoretical knowledge with practical skills. It is an essential resource for mastering the mathematical foundations and programming techniques in computer graphics.
Penny de Byl
Mathematics is an essential skill when it comes to graphics and game development, particularly if you want to understand the generation of real-time computer graphics and the manipulation of objects and environments in a detailed way. Python, together with Pygame and PyOpenGL, provides you with the opportunity to explore these features under the hood, revealing how computers generate and manipulate 3D environments. Mathematics for Game Programming and Computer Graphics is an exhaustive guide to getting “back to the basics” of mathematics, using a series of problem-based, practical exercises to explore ideas around drawing graphic lines and shapes, applying vectors and vertices, constructing and rendering meshes, and working with vertex shaders. By leveraging Python, Pygame, and PyOpenGL, you’ll be able to create your own mathematics-based engine and API that will be used throughout to build applications. By the end of this graphics focussed book, you’ll have gained a thorough understanding of how essential mathematics is for creating, rendering, and manipulating 3D virtual environments and know the secrets behind today’s top graphics and game engines.
Mathematics in examples from civil engineering and architecture
Edwin Koźniewski, Agnieszka Tereszkiewicz
The script is an extended version of [62] and supplemented with tasks in some chapters. This study covers the subject matter of the applied mathematics course taught by the authors in the master's degree program in Civil Engineering at the Faculty of Civil Engineering and Environmental Sciences at Bialystok University of Technology. Due to the thematic breadth of the discipline, which is mathematics, determining the content of teaching applied mathematics was not a simple matter. The presented topics of lectures and classes come from di˙erent branches of mathematics show techniques for solving previously formulated problems related to the problems of civil engineering and architecture.
Tivadar Danka, Santiago Valdarrama
Mathematics of Machine Learning provides a rigorous yet accessible introduction to the mathematical underpinnings of machine learning, designed for engineers, developers, and data scientists ready to elevate their technical expertise. With this book, you’ll explore the core disciplines of linear algebra, calculus, and probability theory essential for mastering advanced machine learning concepts. PhD mathematician turned ML engineer Tivadar Danka—known for his intuitive teaching style that has attracted 100k+ followers—guides you through complex concepts with clarity, providing the structured guidance you need to deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems. Balancing theory with application, this book offers clear explanations of mathematical constructs and their direct relevance to machine learning tasks. Through practical Python examples, you’ll learn to implement and use these ideas in real-world scenarios, such as training machine learning models with gradient descent or working with vectors, matrices, and tensors. By the end of this book, you’ll have gained the confidence to engage with advanced machine learning literature and tailor algorithms to meet specific project requirements.*Email sign-up and proof of purchase required
Jules Verne
Les événements se déroulent dans le monde austro-hongrois. Trieste, deux amis aventuriers, Sarkani et Zirone, interceptent accidentellement un pigeon avec une note chiffrée et calculent ensuite le destinataire du message. Cest le comte Mathias Shandor. Sarkani pense que les destinataires de lettres cryptées sont engagés dans des activités anti-étatiques.
Mathilde, Mémoires dune jeune femme
Eugene Sue
Mathilde reste orpheline. Et la fille du gardien devient une tante, qui depuis lenfance a détesté sa soeur pour la beauté. Elle a maintenant un nouvel objet contre la haine, lintimidation et lhumiliation: la petite Mathilde. La fille grandit et il est temps de se marier. Le choix de la tante est tombé sur un homme supposé riche et noble, Gonthran de Lancry. La fille est tombée amoureuse et le jeune homme a longtemps été ruiné. Les amis de la mere essaient de mettre la fille en garde de la négligence, mais...
Stanisław Witkiewicz (Witkacy)
Matka - dramat autorstwa Stanisława Ignacego Witkiewicza napisany w 1924 r. Utwór jest groteskowym przedstawieniem relacji syna Leona Węgorzewskiego z jego matką Janiną, opierających się na wyzysku tej drugiej, zwłaszcza na tle finansowym. Witkacy, ustami stworzonego przez siebie bohatera, wyraża gros swoich poglądów przede wszystkim związanych z wyznawanym przezeń katastrofizmem (m.in. kategorie: mechanizacji ludności, upadku sztuki, religii i filozofii). Dramat jest także karykaturą reprezentacyjnych pozycji społecznych, klasowej (według pochodzenia) struktury społecznej oraz współczesnych ustrojów politycznych. Matka to sztuka teatralna utrzymana w tonacji czarno-białej (poza nielicznymi kolorowymi rekwizytami wprowadzanymi zaledwie kilka razy w trakcie jej trwania), co zostaje wyraźnie podkreślone w didaskaliach. (Wikipedia)