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Trust and Disinformation

Learn to build robust, scalable financial models to position yourself as an expert in computational finance. At a time when the financial industry demands an increasingly complex and accurate mode, this book ensures you stay ahead of the curve by leveraging the latest advancements in programming to develop faster, more reliable, and maintainable financial software.To begin, you’ll explore key features of C++23, object-oriented programming, and template-based design patterns critical for building reusable financial components. From there, dive into a range of numerical methods, including Monte Carlo simulations, binomial and trinomial trees, and finite difference schemes. Special attention is given to practical implementation details. Every chapter is designed to guide you step by step in transforming mathematical models into efficient, production-level C++ code. You will also learn to handle exotic derivatives, stochastic volatility, and jump-diffusion models, bridging the gap between theory and practice.In the end, you’ll be equipped with the technical foundation and practical tools needed to design, implement, and analyze complex financial products. You will also be well-prepared to tackle the advanced interest rate and credit derivatives covered in further depth in De La Rosa’s Advanced Quantitative Finance with Modern C++. What You:&nbsp;<ul><li>Master modern C++23 syntax and features, including object-oriented and generic programming.</li><li>&nbsp;Design flexible option payoff hierarchies for code reuse.</li><li>Apply advanced numerical techniques such as Monte Carlo, binomial/trinomial trees, and finite difference methods.</li><li>Calculate and interpret option sensitivities (Greeks).</li><li>Model and price exotic options, including stochastic volatility and jump-diffusion models.</li><li>&nbsp;Integrate mathematical finance concepts into production-quality C++ code.</li></ul>

Learn to build robust, scalable financial models to position yourself as an expert in computational finance. At a time when the financial industry demands an increasingly complex and accurate mode, this book ensures you stay ahead of the curve by leveraging the latest advancements in programming to develop faster, more reliable, and maintainable financial software.To begin, you’ll explore key features of C++23, object-oriented programming, and template-based design patterns critical for building reusable financial components. From there, dive into a range of numerical methods, including Monte Carlo simulations, binomial and trinomial trees, and finite difference schemes. Special attention is given to practical implementation details. Every chapter is designed to guide you step by step in transforming mathematical models into efficient, production-level C++ code. You will also learn to handle exotic derivatives, stochastic volatility, and jump-diffusion models, bridging the gap between theory and practice.In the end, you’ll be equipped with the technical foundation and practical tools needed to design, implement, and analyze complex financial products. You will also be well-prepared to tackle the advanced interest rate and credit derivatives covered in further depth in De La Rosa’s Advanced Quantitative Finance with Modern C++. What You Will Learn:&nbsp;<ul><li>Master modern C++23 syntax and features, including object-oriented and generic programming.</li><li>&nbsp;Design flexible option payoff hierarchies for code reuse.</li><li>Apply advanced numerical techniques such as Monte Carlo, binomial/trinomial trees, and finite difference methods.</li><li>Calculate and interpret option sensitivities (Greeks).</li><li>Model and price exotic options, including stochastic volatility and jump-diffusion models.</li><li>&nbsp; Integrate mathematical finance concepts into production-quality C++ code.</li></ul>Who This Book is for: Quantitative analysts, financial engineers, researchers, and advanced developers who seek to deepen their knowledge of derivative pricing and computational finance using modern C++. Also suited for graduate students in quantitative finance or applied mathematics who want to complement their theoretical studies with robust coding skills.

Foundations, Derivatives, and Computational Methods

Mastering Quantitative Finance with Modern C++

Edition Medienwissenschaft

In einer global vernetzten, digital durchdrungenen Welt genügt es nicht mehr, in geschlossenen Systemen zu denken. Der Blick richtet sich vielmehr auf das, was Systeme verbindet und definiert: das Spiel der Schnittstellen. Als Orte der Übertragung, Filterung, Übersetzung und Sinnbildung werden sie zu den zentralen Erkenntnisobjekten überhaupt. Zwischen Mensch und Maschine, Kultur und Technik, Sprache und Material ermöglichen sie nicht nur Austausch, sondern auch ständige Veränderung. Christian Stein führt interdisziplinäre Perspektiven aus&nbsp;Medien-, Kultur-, Technik- und Naturwissenschaften zusammen.&nbsp;So öffnet er ein neues Denken - eines, das Schnittstellen offenlegt und zu ihrer aktiven Mit- und Umgestaltung anregt.

Eine interdisziplinäre Theorie des Zwischen

Schnittstelle(n)

Approaching a Sensitive Thinking with Luce Irigaray

The Bloomsbury Handbook of Émilie Du Châtelet

Lecture Notes in Networks and Systems

This book features selected papers from the International Conference on Information Technology and Intelligence (ITI 2024), organized by Dr. B. R. Ambedkar Institute of Technology, Andaman and Nicobar, India, during October 2024. The book is a collection of the state-of-the art research work in the cutting-edge technologies. This would provide an opportunity to gather scientific research work related to the artificial intelligence, data science and applications, cybersecurity, internet of things (IOT), cloud computing, information retrieval and knowledge management.

ICITI 2024, Volume 2

Proceedings of International Conference on Information Technology and Intelligence

Oxford Handbooks

The Oxford Handbook of Philosophy of Linguistics

Darwin's Philosophy of Emotion

How ideas from science can transform your life

The Art of Physics

»Ich lasse mir mein Schnitzel nicht verbieten!« – Wie populistische Debatten den Klimaschutz bremsen und welche Lösungen wirklich helfen Klima-RAF, SUV-Egoisten, verbotsgeile Ökos, Veggie-Day-Zwang, Heizungshammer – über kaum ein Thema wird so überhitzt diskutiert wie über die richtigen Maßnahmen gegen den Klimawandel. Immer wieder werden die gleichen populistischen Scheindebatten geführt, statt realistische Lösungswege zu suchen. Kein Wunder, dass viele nur noch abschalten.Wir brauchen eine andere Art der Debatte über den Klimawandel und seine Folgen, sagt Bestsellerautor David Nelles. Anhand typischer Aussagen von Politikerinnen, Journalisten und Social-Media-Stimmen räumt er in seinem neuen Buch »Klimazirkus« auf mit Desinformationen, Provokationen, Schwarz-Weiß-Denken und schiefen Argumenten, denen wir täglich begegnen. Mit eingängigen Grafiken, faktensatt und sehr unterhaltsam führt er eigene Denkfehler vor Augen, gibt Argumentationshilfen und zeigt, was uns wirklich weiterbringt.Durchgängig vierfarbig illustriert, mit 100 Infografiken, Selbsttests und konkreten Lösungsvorschlägen. Ausstattung: durchgehend farbig illustriert

Mit Witz und Wissen gegen populistische Debatten – hin zu Lösungen, die wirklich was bewegen! - Ausdrucksstark illustriert, durchgehend vierfarbig, mit vielen Infografiken und Selbsttests

Klimazirkus

Freunde, Feinde, Fremde - Eine Beziehungsgeschichte vom 17. Jahrhundert bis heute - Ein SPIEGEL-Buch

Die Deutschen und die USA

Sustainable Development Goals Series

A Snapshot of Survey Results from 2016-23

Tracking Innovation Ecosystem in India

Misconfigured identities are the leading cause of cyber incidents. Organizations are investing significant resources to address these vulnerabilities, but these investments often prioritize meeting compliance requirements set by regulators. However, the controls and monitoring systems implemented are not designed for real-time threat detection and risk mitigation. Consequently, organizations often resort to purchasing multiple expensive vendor products, which then require extensive reconfiguration due to the varied identity landscapes of each organization.

In this book, we explore how individuals can construct their own identity analytics solution from scratch. We provide starter code to facilitate understanding, catering to beginners. This knowledge can also serve as guidance for those considering vendor products. The book commences with general principles and progresses to cover specific use cases, accompanied by sample code for each.

Much of the available material originates from vendors, which tends to focus more on marketing rather than addressing systemic issues. Alternatively, materials may solely concentrate on Identity and Access Management (IAM) processes and governance without delving deeply into the topics discussed here.

&nbsp;

What You Will Learn:

<ul>
	<li>The relationship between IAM and Identity Analytics.</li>
	<li>Statistical methods, data curation processes, and risk scoring that contribute to effective IAM strategies.</li>
	<li>How to utilize advanced ML/AI techniques for implementing impactful IAM programs, including various use cases that demonstrate their effectiveness.</li>
</ul>

&nbsp;

Who this book is for:

Software engineers specializing in IAM technologies are essential in every enterprise, regardless of size. Cyber analysts focus on insider threats and identity threat detection systems. Governance and risk associates handle compliance related to identity management systems. Data analysts, data scientists, and machine learning engineers are involved in deploying identity analytics systems. IAM and cyber executives and sponsors seek to understand the return on investment (ROI) of IAM investments. Engineers who are working on advanced initiatives such as GenAI, and zero trust.

Misconfigured identities are the leading cause of cyber incidents. Organizations are investing significant resources to address these vulnerabilities, but these investments often prioritize meeting compliance requirements set by regulators. However, the controls and monitoring systems implemented are not designed for real-time threat detection and risk mitigation. Consequently, organizations often resort to purchasing multiple expensive vendor products, which then require extensive reconfiguration due to the varied identity landscapes of each organization.In this book, we explore how individuals can construct their own identity analytics solution from scratch. We provide starter code to facilitate understanding, catering to beginners. This knowledge can also serve as guidance for those considering vendor products. The book commences with general principles and progresses to cover specific use cases, accompanied by sample code for each.Much of the available material originates from vendors, which tends to focus more on marketing rather than addressing systemic issues. Alternatively, materials may solely concentrate on Identity and Access Management (IAM) processes and governance without delving deeply into the topics discussed here.&nbsp;What You Will Learn:<ul><li>The relationship between IAM and Identity Analytics.</li><li>Statistical methods, data curation processes, and risk scoring that contribute to effective IAM strategies.</li><li>How to utilize advanced ML/AI techniques for implementing impactful IAM programs, including various use cases that demonstrate their effectiveness.</li></ul>&nbsp;Who this book is for:Software engineers specializing in IAM technologies are essential in every enterprise, regardless of size. Cyber analysts focus on insider threats and identity threat detection systems. Governance and risk associates handle compliance related to identity management systems. Data analysts, data scientists, and machine learning engineers are involved in deploying identity analytics systems. IAM and cyber executives and sponsors seek to understand the return on investment (ROI) of IAM investments. Engineers who are working on advanced initiatives such as GenAI, and zero trust.

Analytics for Identity and Access Management

Identity Analytics

Trust and Disinformation

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