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Constante-Flores G: Optimization via
Relaxation and Decomposition

Optimization via Relaxation and Decomposition

Applications to Large-Scale Engineering Problems

Texts in Computer Science

Computational geometry plays a vital role in fields ranging from algorithms, data structures, robotics, and computer graphics to geographic information systems and AI. Providing a comprehensive toolkit, this core textbook constructs a strong bridge between rigorous geometric theory and practical, real-world implementations—making complex concepts accessible and engaging. Uniquely, the volume presents a modern approach to computational geometry through the lens of Python programming. Emphasizing clarity, structure, and visualization, the book introduces core geometric structures and algorithms, supported by detailed illustrations and interactive examples. With its project-based learning orientation and emphasis on conceptual understanding, it can serve as both a textbook and a reference guide for those exploring the computational side of geometry.

Topics and features:

· · · · · · GitHub repository with all source code

Ideal for students of computer science, the textbook/reference will have real utility as well for those in mathematics and engineering. Researchers and practitioners working in computational geometry, algorithm design, data visualization, or related disciplines will find the work an indispensable resource and guide.

Adis Alihodži¿ is a Full Professor at the Department of Mathematics and Computer Science, Faculty of Natural Sciences and Mathematics, University of Sarajevo.

Computational geometry plays a vital role in fields ranging from algorithms, data structures, robotics, and computer graphics to geographic information systems and AI. Providing a comprehensive toolkit, this core textbook constructs a strong bridge between rigorous geometric theory and practical, real-world implementations—making complex concepts accessible and engaging. Uniquely, the volume presents a modern approach to computational geometry through the lens of Python programming. Emphasizing clarity, structure, and visualization, the book introduces core geometric structures and algorithms, supported by detailed illustrations and interactive examples. With its project-based learning orientation and emphasis on conceptual understanding, it can serve as both a textbook and a reference guide for those exploring the computational side of geometry.Topics and features:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; All geometric algorithms implemented in native Python·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 400+ illustrations and visualizations·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Includes project-based exercises for students·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coverage: Core Structures and Algorithms, Geometric Objects in Python, Algorithms for Geometric Objects, Convex Hull Algorithms in 2D and 3D, Polygon Triangulation Methods, Delaunay Triangulation, Voronoi Diagrams, Visualization Techniques, Algorithms for Space Exploration, Quadtrees, Robot Motion Planning, AI in Computational Geometry·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Suitable for advanced undergraduate and graduate courses· &nbsp; &nbsp; &nbsp; &nbsp; GitHub repository with all source codeIdeal for students of computer science, the textbook/reference will have real utility as well for those in mathematics and engineering.&nbsp; Researchers and practitioners working in computational geometry, algorithm design, data visualization, or related disciplines will find the work an indispensable resource and guide.Adis Alihodžić
 is a Full Professor at the Department of Mathematics and Computer Science, Faculty of Natural Sciences and Mathematics, University of Sarajevo.

Theory and Python Implementations

Exploring Computational Geometry

di finanziamento delle PMI in Senegal

Contributo all'analisi dei fattori che determinano la decisione

Rohbau der Büro- und Gewerbeflächen & Ausbauarbeiten der Ferienwohnanlage

Durchführung der Bauarbeiten

dei giovani del Comune di Marcory in un contesto di sviluppo locale

Inserimento socio-professionale ed economico

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>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>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>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++

Synthesis Lectures on Operations Research and Applications

This book presents a comprehensive examination of crime patrolling problems across various domains, including robotics, security, and law enforcement, with a focus on the mathematical models used to optimize patrolling strategies. Patrolling is a critical crime prevention and deterrence strategy, requiring the effective allocation of resources to address evolving security challenges. In addition, patrolling is one of the most effective and widely adopted crime prevention and deterrence strategies worldwide. It is integral to security agencies such as police and military forces across various domains, including land, air, and maritime areas. As such, effective patrolling requires the coordination of manpower, technological resources, and policies to address evolving security challenges. The authors review recent research on robotic patrolling, multirobot systems, and police patrolling and also explore advances in modeling, optimization, and practical applications. In addition, the author’s analysis categorizes studies by core modeling themes, such as Game Theory, Mathematical Optimization, and Stochastic methods, and highlights the secondary modeling themes that frequently complement the primary approaches. Each study is categorized by fields including, but not limited to domain, patrolling focus, area representation, and solution methodology to facilitate cross-comparison. The book identifies gaps in current research, particularly the lack of a holistic examination of patrolling from robotic, autonomous, human, and hybrid perspectives, and proposes future directions for research in this evolving field.

A Cross-Domain Review of Mathematical Models and Applications

Optimizing Security Patrolling Strategies

Leitfaden für erfolgversprechende und wirksame Besprechungen

Meeting-Management kompakt

The Vandals

Gli stomi digestivi

Lecture Notes in Economics and Mathematical Systems

This volume would prove to be a beneficial textbook option for economics faculties wishing to offer a PhD level course on quantitative developmental economics or applied economics. This reference volume offers a gentle introduction to various state-of-the-art mathematical and econometric modelling techniques with detailed applications. Each chapter, written by experienced scholars, describe a particular quantitative method for economic modelling and policy analysis. The chapters not only cover the theoretical foundations in a student-friendly language but also provide step-by-step guide to computational aspects. Real-world applications, given in each chapter, focus on the socio-economic conditions and well-being of people in the developing economies and middle-income countries.

Quantitative Methods for Applied Development Economics and Policy Analysis

Suspended Sediments in the Upper Sebou Watershed

Metodología de la investigación

Optimization via Relaxation and Decomposition

Weitere Titel zum Thema