Free Download Analysis 1: Differential- und Integralrechnung einer Veränderlichen
Deutsch | 2023 | ISBN: 365840129X | 465 Seiten | PDF (True) | 4 MB
Dieses fest etablierte Lehrbuch begleitet Studierende der Mathematik, Physik und Informatik seit über vier Jahrzehnten durch die Analysis des ersten Semesters. Es gelangt in systematischer Weise, aber ohne zu große Abstraktionen, einfach und verständlich zu den grundlegenden Begriffen (Konvergenz von Folgen und Reihen, Stetigkeit, Differentiation, Riemannsches Integral) und illustriert sie mit zahlreichen Beispielen. Die numerische Seite der Analysis wird an verschiedenen Stellen beleuchtet, um den Grenzwertbegriff konkreter zu machen. Das Buch schließt mit zwei Kapiteln über Taylor- und Fourier-Reihen, in denen alle bis dahin gelernten Techniken zum Einsatz kommen. Jedes Kapitel enthält Übungsaufgaben zum Vertiefen der Inhalte.

Short Introduction to Partial Differential Equations by Arian Novruzi PDF | 3.52 MB
N/A | 225 Pages

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Free Download Thyroid FNA Cytology: Differential Diagnoses and Pitfalls, ThirdEdition by Kennichi Kakudo, Zhiyan Liu, Chan Kwon Jung, Mitsuyoshi Hirokawa, Andrey Bychkov, Chiung-Ru Lai
English | PDF (True) | 2024 | 794 Pages | ISBN : 9819967813 | 99.7 MB
This is the third edition of a well-received book that recapitulates the thyroid fine-needle aspiration (FNA) cytology. It covers the basics and critical principles of thyroid cytopathology, addresses technical aspects, and presents the latest breakthrough events in the field, including the new editions of the WHO classification of thyroid tumors and the Bethesda system for reporting thyroid cytopathology.

Free Download Solving Differential Equations in R by Karline Soetaert
English | PDF,EPUB | 2012 | 258 Pages | ISBN : 3642280692 | 276.87 MB
Mathematics plays an important role in many scientific and engineering disciplines. This book deals with the numerical solution of differential equations, a very important branch of mathematics. Our aim is to give a practical and theoretical account of how to solve a large variety of differential equations, comprising ordinary differential equations, initial value problems and boundary value problems, differential algebraic equations, partial differential equations and delay differential equations.

Free Download Numerical Quadrature and Solution of Ordinary Differential Equations: A Textbook for a Beginning Course in Numerical Analysis by A. H. Stroud
English | PDF | 1974 | 346 Pages | ISBN : 0387901000 | 12.5 MB
This is a textbook for a one semester course on numerical analysis for senior undergraduate or beginning graduate students with no previous knowledge of the subject. The prerequisites are calculus, some knowledge of ordinary differential equations, and knowledge of computer programming using Fortran. Normally this should be half of a two semester course, the other semester covering numerical solution of linear systems, inversion of matrices and roots of polynomials. Neither semester should be a prerequisite for the other.

Free Download Modeling with Itô Stochastic Differential Equations by E. Allen
English | PDF | 2007 | 238 Pages | ISBN : 1402059523 | 1.6 MB
Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete stochastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito stochastic differential equation model for the dynamical system is obtained.

Free Download First Differential Measurements of tZq Production and Luminosity Determination Using Z Boson Rates at the LHC by David Walter
English | PDF EPUB (True) | 2024 | 202 Pages | ISBN : 3031509307 | 77.1 MB
This thesis describes two groundbreaking measurements in the precision frontier at the LHC: the first ever differential measurement of the Z-associated single top quark (tZq) production, and the luminosity measurement using Z boson production rate for the first time in CMS. Observed only in 2018, the tZq process is of great importance in probing top quark electroweak couplings. These couplings are natural places for new phenomena to happen in the top quark sector of the standard model. Yet, they are the least explored directly. One has to obtain a firm understanding of the modeling of sensitive distributions to new top-Z interactions. The present analysis marks a major milestone in this long-term effort. All distributions relevant for new phenomena, and/or modeling of tZq, are studied in full depth using advanced Machine Learning techniques.The luminosity and its uncertainty contributes to every physics result of the experiment. The method minutely developed in this thesis provides a complementary measurement that results in a significant overall reduction of uncertainties.

Free Download Differential Models: An Introduction with Mathcad by Alexander Pavlovich Solodov , Valery Fedorovich Ochkov
English | PDF (True) | 2005 | 238 Pages | ISBN : 3540208526 | 2.9 MB
Differential equations are often used in mathematical models for technological processes or devices. However, the design of a differential mathematical model is crucial and difficult in engineering.

Free Download Computational Partial Differential Equations: Numerical Methods and Diffpack Programming by Hans Petter Langtangen
English | PDF | 1999 | 704 Pages | ISBN : N/A | 65 MB
During the last decades there has been a tremendous advancement of com puter hardware, numerical algorithms, and scientific software. Engineers and scientists are now equipped with tools that make it possible to explore real world applications of high complexity by means of mathematical models and computer simulation. Experimentation based on numerical simulation has become fundamental in engineering and many of the traditional sciences. A common feature of mathematical models in physics, geology, astrophysics, mechanics, geophysics, as weH as in most engineering disciplines, is the ap pearance of systems of partial differential equations (PDEs). This text aims at equipping the reader with tools and skills for formulating solution methods for PDEs and producing associated running code. Successful problem solving by means of mathematical models inscience and engineering often demands a synthesis of knowledge from several fields. Besides the physical application itself, one must master the tools of math ematical modeling, numerical methods, as weH as software design and im plementation. In addition, physical experiments or field measurements might play an important role in the derivation and the validation of models. This book is written in the spirit of computational sciences as inter-disciplinary activities. Although it would be attractive to integrate subjects like mathe matics, physics, numerics, and software in book form, few readers would have the necessary broad background to approach such a text.

Ghergu M Differential Calculus in Several Variables A Learning-by-Doing 2024 | 9.89 MB
N/A | 325 Pages

Title: Differential Calculus in Several Variables: A Learning-by-Doing Approach
Author: Marius Ghergu
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