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Mathematical Finance A Very Short Introduction (Very Short Introductions)

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Mathematical Finance: A Very Short Introduction (Very Short Introductions) by Mark H. A. Davis
English | March 24, 2019 | ISBN: 0198787944 | 160 pages | PDF | 3.88 Mb
In recent years the finance industry has mushroomed to become an important part of modern economies, and many science and engineering graduates have joined the industry as quantitative analysts, with mathematical and computational skills that are needed to solve complex problems of asset valuation and risk management. An important parallel story exists of scientific endeavour. Between 1965-1995, insightful ideas in economics about asset valuation were turned into a mathematical "theory of arbitrage," an enterprise whose first achievement was the famous 1973 Black-Scholes formula, followed by extensive investigations using all the resources of modern analysis and probability. The growth of the finance industry proceeded hand-in-hand with these developments. Now new challenges arise to deal with the fallout from the 2008 financial crisis and to take advantage of new technology, which has revolutionized the practice of trading.

This Very Short Introduction introduces readers with no previous background in this area to arbitrage theory and why it works the way it does. Illuminating pricing theory, Mark Davis explains its applications to interest rates, credit trading, fund management and risk management. He concludes with a survey of the most pressing issues in mathematical finance today.
ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.


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Mathematical Foundations of Computer Science

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Mathematical Foundations of Computer Science by Ashwin Lall
English | November 5, 2024 | ISBN: 1032467878 | 228 pages | PDF | 13 Mb
Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of computation topics interleaved throughout. Students learn about mathematical concepts just in time to apply them to theory of computation ideas. For instance, sets motivate the study of finite automata, direct proof is practised using closure properties, induction is used to prove the language of an automaton, and contradiction is used to apply the pumping lemma.

The main content of the book starts with primitive data types such as sets and strings and ends with showing the undecidability of the halting problem. There are also appendix chapters on combinatorics, probability, elementary number theory, asymptotic notation, graphs, loop invariants, and recurrences. The content is laid out concisely with a heavy reliance on worked examples, of which there are over 250 in the book. Each chapter has exercises, totalling 550.
This class-tested textbook is targeted to intermediate Computer Science majors, and it is primarily intended for a discrete math / proofs course in a Computer Science major. It is also suitable for introductory theory of computation courses.
The authors hope this book breeds curiosity into the subject and is designed to satisfy this to some extent by reading this book. The book will prepare readers for deeper study of game theory applications in many fields of study.


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Mathematical Foundations of Reinforcement Learning

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Mathematical Foundations of Reinforcement Learning
English | 2025 | ISBN: 9819739438 | 283 Pages | PDF (True) | 12 MB
This book provides a mathematical yet accessible introduction to the fundamental concepts, core challenges, and classic reinforcement learning algorithms. It aims to help readers understand the theoretical foundations of algorithms, providing insights into their design and functionality. Numerous illustrative examples are included throughout. The mathematical content is carefully structured to ensure readability and approachability.



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Mathematical Methods & Boundary Value Problems, 6th Edition

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Sam Melkonian, "Mathematical Methods & Boundary Value Problems, 6th Edition (draft)"
English | ISBN: 0176578234 | 2023 | 480 pages | PDF | 99 MB




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Mathematical Modeling with Excel Ed 2

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Brian Albright, "Mathematical Modeling with Excel Ed 2"
English | ISBN: 1138597074 | 2019 | 370 pages | AZW3 | 4 MB
This text presents a wide variety of common types of models found in other mathematical modeling texts, as well as some new types. However, the models are presented in a very unique format. A typical section begins with a general description of the scenario being modeled. The model is then built using the appropriate mathematical tools. Then it is implemented and analyzed in Excel via step-by-step instructions. In the exercises, we ask students to modify or refine the existing model, analyze it further, or adapt it to similar scenarios.



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Mathematical Models for Decision Making with Multiple Perspectives

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Mathematical Models for Decision Making with Multiple Perspectives by Maria Isabel Gomes, Nelson Chibeles Martins
English | August 4, 2022 | ISBN: 0367440741 | 288 pages | MOBI | 11 Mb
This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately. Both fields have in common the presence of multiple perspectives of looking at and evaluating decisions to be taken but they differ in the number of available alternatives. Multicriteria approaches deal with decision processes where a finite number of alternatives have to be evaluated while, in multiobjective optimization, this number is infinite and the space of alternatives continuous. This book is written for students of applied mathematics, engineering, and economics and management, with no assumed previous knowledge on the subject, as well as for practitioners in industry looking for techniques to support decision making. The mathematical formalism is very low, so that all materials are accessible to most readers. Nonetheless, a rich bibliography allows interested readers to access more technical literature.

The textbook is organized in eleven chapters, each corresponding to a class of about two hours. A comprehensive set of examples is presented, allowing for a didactic approach when presenting the methodologies. Each chapter ends with exercises that are designed to develop problem-solving skills and to promote concepts retention.


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Mathematical Stereochemistry

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Shinsaku Fujita, "Mathematical Stereochemistry"
English | ISBN: 3110371979 | 2015 | 437 pages | EPUB | 14 MB
Chirality and stereogenicity are closely related concepts and their differentiation and description is still a challenge in chemoinformatics. A new stereoisogram approach, developed by the author, is introduced in this book, providing a theoretical framework for mathematical aspects of modern stereochemistry. The discussion covers point-groups and permutation symmetry and exemplifies the concepts using organic molecules and inorganic complexes.



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Mathematics for Digital Science, Volume 1

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Mathematics for Digital Science, Volume 1
English | 2025 | ISBN: 1789451949 | 351 Pages | PDF, EPUB (True) | 36 MB
Over the past century, advancements in computer science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today's students and tomorrow's computer engineers need a solid mathematical background.



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Mathematics for Engineers and Scientists

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Mathematics for Engineers and Scientists: Concepts, Applications, and History
English | 2025 | ISBN: 9819746302 | 1190 Pages | PDF EPUB (True) | 211 MB
A majority of mathematics textbooks are written in a rigorous, concise, dry, and boring way. On the other hands, there exist excellent, engaging, fun-to-read popular math books. The problem with these popular books is the lack of mathematics itself. This book is a blend of both. It provides a mathematics book to read, to engage with, and to understand the whys - the story behind the theorems.



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Mathematics of Investment and Credit

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Samuel Broverman, "Mathematics of Investment and Credit"
English | 2015 | ISBN: 162542485X | PDF | pages: 596 | 24.1 mb
Mathematics of Investment and Credit is a leading textbook covering the topic of interest theory. It is the required or recommended text in many college and university courses on this topic, as well as for Exam FM. This text provides a thorough treatment of the theory of interest, and its application to a wide variety of financial instruments. It emphasizes a direct-calculation approach to reaching numerical results, and uses a gentle, thorough pedagogic style. This text includes detailed treatments of the term structure of interest rates, forward contracts of various types, interest rate swaps, financial options, and option strategies. Key formulas and definitions are highlighted. Real world current events are included to demonstrate key concepts. The text contains a large number of worked examples and end-of-chapter exercises. The New Sixth Edition includes updates driven by the upcoming changes for the learning objectives for Exam FM, updated examples and exercises and some exposition improvements. The topic of duration has been revamped in Chapter 7 and expanded treatment of determinants of interest rates in Chapter 8.



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Mathematik für Ingenieure 2, 9. Auflage

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Mathematik für Ingenieure 2
Deutsch | 2025 | ISBN: 3662705699 | 310 Pages | PDF (True) | 6 MB
Um die Inhalte des ursprünglich einbändigen Mathematikbuchs an die aktuellen Inhalte technisch orientierter Bachelor-Studiengänge anzupassen und zu erweitern, wurden sie in der vorliegenden Ausgabe in 3 Bände aufgeteilt. Dieser zweite Band der Reihe „Mathematik für Ingenieure" ist in erster Linie ein Begleittext für Studierende und Dozenten der Ingenieurwissenschaften insbesondere der Elektrotechnik zu den Mathematikvorlesungen im zweiten Semester. In übersichtlicher Form und ohne zu viel Abstraktion führt er die Studierenden in die Themen der Mathematik ein. Band 2 bietet Studierenden an Universitäten und Hochschulen eine weitgehend exakte, aber stets anschauliche Darstellung für den Einstieg in die höhere Mathematik. Ausführlich durchgerechnete Beispiele helfen den Studierenden, sich die Mathematik einprägsam zu erschließen.



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Mathematik interaktiv und verständlich

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Mathematik interaktiv und verständlich: für Naturwissenschaftler, Ingenieure und Mediziner
Deutsch | 2025 | ISBN: 3662655470 | 967 Pages | PDF (True) | 39 MB
Dieses Buch deckt alle relevanten mathematischen Themen eines Grundstudiums der Natur- oder Ingenieurwissenschaften ab, von der Analysis (inklusive einer ausführlichen Behandlung gewöhnlicher Differentialgleichungen mitsamt Modellierungsaspekten) und der linearen Algebra bis hin zu den wichtigsten Lösungsmethoden für partielle Differentialgleichungen.



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Maths in Chemistry Numerical Methods for Physical and Analytical Chemistry (De Gru...

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Maths in Chemistry: Numerical Methods for Physical and Analytical Chemistry (De Gruyter Textbook) by Prerna Bansal
English | September 3, 2024 | ISBN: 3111333922 | MOBI | 2.66 Mb
Numerical methods are the mathematical procedures that approximate the solution of complex mathematical problems into much simpler form and which find a wide variety of use while solving complex Physical Chemistry problems. This book aims to aide in understanding of such numerical methods including solving complex differential equations and numerical differentiation & integration. Moreover it also explains various statistical tests used in Analytical Chemistry for data analysis. The author has tried to include as many example from Chemistry problems for a better understanding of the methods.



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MATLAB Programming A Comprehensive Guide for Beginners

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MATLAB Programming: A Comprehensive Guide for Beginners
English | 2025 | ASIN : B0DV9M6QKK | 249 Pages | EPUB | 1 MB
"MATLAB Programming: A Comprehensive Guide for Beginners" is a well-structured and practical guide designed to help learners master MATLAB programming while simultaneously gaining insights into C programming. This book offers a smooth transition for those familiar with C who wish to understand MATLAB, making it ideal for students, engineers, researchers, and anyone interested in numerical computing, data analysis, and simulation using MATLAB.



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Matrix Methods of Structural Analysis

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Matrix Methods of Structural Analysis by S.S. Bhavikatti
2019 | ISBN: 9389307562 | English | 184 pages | PDF | 9.43 Mb
Preliminary chapters are supposed to give suitable transition from structural analysis classical methods studied by students in their compulsory courses. Then structure approach to matrix method is dealt so that the students get clear picture of matrix approach. Finally, stiffness matrix method element approach is explained and illustrated so that before developing computer program student will understand what to instruct computer. Finally, a chapter an computer programming preliminaries which will help to develop the computer program and cautious the way of program develop by the others is included.



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Matthew Through OT Eyes

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David Capes, "Matthew Through OT Eyes "
English | ISBN: 0825444780 | 2024 | 392 pages | EPUB | 1484 KB
A New Testament commentary steeped in the Old Testament

Through Old Testament Eyes is a new kind of commentary series that illuminates the Old Testament backgrounds, allusions, patterns, and references that saturate the New Testament. These links were second nature to the New Testament authors and their audiences, but today's readers often cannot see them. Bible teachers, preachers, and students committed to understanding Scripture will gain insight through these rich Old Testament connections, which clarify puzzling passages and explain others in fresh ways.
The Gospel of Matthew contains both overt and subtle connections to the Old Testament, capitalizing on the scriptural literacy of the work's original, first-century Jewish audience. These complex and multifaceted connections are not always recognized by today's readers, meaning significant ideas can be easily missed or misappropriated. David B. Capes elucidates these extensive backgrounds, echoes, quotations, ways of thinking, and patterns of living, showing how God's plan-introduced in the Hebrew Scriptures-is revealed through the very person, work, life, and ministry of Jesus.
Avoiding overly technical discussions and interpretive debates to concentrate on Old Testament influences, this book combines rigorous, focused New Testament scholarship with deep respect for the entire biblical text.
Read more


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Matty Matheson Soups, Salads, Sandwiches A Cookbook

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Matty Matheson: Soups, Salads, Sandwiches: A Cookbook by Matty Matheson
English | October 22, 2024 | ISBN: 1984862154 | 368 pages | MOBI | 122 Mb
NEW YORK TIMES BESTSELLER

*The acclaimedchef, actor, and executive producer of The Bear redefines cooking's iconic trinity: soups, salads, and sandwiches.
Chances are you've eaten a soup, salad, or sandwich in the past day (or maybe all three). This trio makes up so many of our meals but is rarely given the attention it deserves-until now. Matty Matheson, known for his bold, innovative flavors, has created a cookbook that will revolutionize how you think of these kitchen basics. This book is for anyone and everyone, offering up Matty's signature twists on the classics, delivered with minimal effort for maximum flavor.
Find your favorite combination by mixing and matching dishes like:
Soups: Giant Meatball Soup in Beefy Tomato Broth; Crab Congee; Creamy Sausage Soup with Rapini and Tortellini; Caldo de PolloSalads: Everyone's Mom's Macaroni and Tuna Salad; Griddled Salami Panzanella Salad; Peaches with Goat Cheese, Mint, Honeycomb, and Olive OilSandwiches: Cubano; Italian Combo; Sun Warmed Tomato; Banana Bread French Toast with Fried Egg, Peameal Bacon, and Maple SyrupPacked with character, personal stories, 126 scrumptious recipes, and vivid photographs of a day-in-the-life with Matty and his family, Soups, Salads, Sandwiches will have you fearlessly whipping up your own combinations in the kitchen.


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Maximilian Hell (172092) and the Ends of Jesuit Science in Enlightenment Europe

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Per Pippin Aspaas, "Maximilian Hell (172092) and the Ends of Jesuit Science in Enlightenment Europe "
English | ISBN: 9004361359 | 2019 | 490 pages | PDF | 20 MB
The Viennese Jesuit astronomer Maximilian Hell was a nodal figure in the eighteenth-century circulation of knowledge. This study of his career sheds light on the Enlightenment, Catholicism, reform in the Habsburg monarchy, and the cultivation of science in the Republic of Letters.



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Maximizing Your Injury Claim Simple Steps to Protect Your Family After an Accident

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Matthew D Dubin, "Maximizing Your Injury Claim: Simple Steps to Protect Your Family After an Accident"
English | ISBN: 1943164126 | 2015 | 283 pages | EPUB | 571 KB
Chances are you will be in an automobile accident at some point in your life. It's always best to be prepared for when that happens so you know what to do and if you've just been in one, you can learn what to expect next in these pages. Longtime attorney Matthew D. Dubin has represented countless parties with personal injury claims. Because he can't represent everyone, he is now sharing his wide range of knowledge in this book. Written in clear, non-legal language, Matthew will tell you what you need to know as you maneuver through dealing with insurance companies and the legal system to get the settlement you deserve.



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Maximum Likelihood Estimation with Stata, Fifth Edition

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Maximum Likelihood Estimation with Stata, Fifth Edition by Jeffrey Pitblado, Brian Poi, William Gould
English | November 23, 2023 | ISBN: 159718411X | 472 pages | MOBI | 49 Mb
Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in all disciplines who wish to write maximum likelihood (ML) estimators in Stata. Beyond providing comprehensive coverage of Stata's commands for writing ML estimators, the book presents an overview of the underpinnings of maximum likelihood and how to think about ML estimation.

The fifth edition includes a new second chapter that demonstrates the easy-to-use mlexp command. This command allows you to directly specify a likelihood function and perform estimation without any programming.
The core of the book focuses on Stata's ml command. It shows you how to take full advantage of ml's noteworthy features:Linear constraintsFour optimization algorithms (Newton-Raphson, DFP, BFGS, and BHHH)Observed information matrix (OIM) variance estimatorOuter product of gradients (OPG) variance estimatorHuber/White/sandwich robust variance estimatorCluster-robust variance estimatorComplete and automatic support for survey data analysisDirect support of evaluator functions written in MataWhen appropriate options are used, many of these features are provided automatically by ml and require no special programming or intervention by the researcher writing the estimator.
In later chapters, you will learn how to take advantage of Mata, Stata's matrix programming language. For ease of programming and potential speed improvements, you can write your likelihood-evaluator program in Mata and continue to use ml to control the maximization process. A new chapter in the fifth edition shows how you can use the moptimize() suite of Mata functions if you want to implement your maximum likelihood estimator entirely within Mata.
In the final chapter, the authors illustrate the major steps required to get from log-likelihood function to fully operational estimation command. This is done using several different models: logit and probit, linear regression, Weibull regression, the Cox proportional hazards model, random-effects regression, and seemingly unrelated regression. This edition adds a new example of a bivariate Poisson model, a model that is not available otherwise in Stata.
The authors provide extensive advice for developing your own estimation commands. With a little care and the help of this book, users will be able to write their own estimation commands--commands that look and behave just like the official estimation commands in Stata.
Whether you want to fit a special ML estimator for your own research or wish to write a general-purpose ML estimator for others to use, you need this book.


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