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

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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 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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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
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: 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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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
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: 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 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
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 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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