Europe’s banking system is weighed down by high levels of non-performing loans (NPLs), which are holding down credit growth and economic activity. This discussion note uses a new survey of European country authorities and banks to examine the structural obstacles that discourage banks from addressing their problem loans. A three pillared strategy is advocated to remedy the situation, comprising: (i) tightened supervisory policies, (ii) insolvency reforms, and (iii) the development of distressed debt markets.
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software libra
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m
This revised and updated Second Edition presents a practical introduction to operating systems and illustrates these principles through a hands-on approach using accompanying simulation models developed in Java and C++. This text is appropriate for upper-level undergraduate courses in computer science. Case studies throughout the text feature the implementation of Java and C++ simulation models, giving students a thorough look at both the theoretical and the practical concepts discussed in modern OS courses. This pedagogical approach is designed to present a clearer, more practical look at OS concepts, techniques, and methods without sacrificing the theoretical rigor that is necessary at this level. It is an ideal choice for those interested in gaining comprehensive, hands-on experience using the modern techniques and methods necessary for working with these complex systems. Every new printed copy is accompanied with a CD-ROM containing simulations (eBook version does not include CD-ROM). New material added to the Second Edition: - Chapter 11 (Security) has been revised to include the most up-to-date information - Chapter 12 (Firewalls and Network Security) has been updated to include material on middleware that allows applications on separate machines to communicate (e.g. RMI, COM+, and Object Broker) - Includes a new chapter dedicated to Virtual Machines - Provides introductions to various types of scams - Updated to include information on Windows 7 and Mac OS X throughout the text - Contains new material on basic hardware architecture that operating systems depend on - Includes new material on handling multi-core CPUs Instructor Resources: -Answers to the end of chapter questions -PowerPoint Lecture Outlines
With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visu
This note considers the role debt-equity conversions and NPL securitization can play in addressing excessive corporate debt in China, and the corresponding burden on banks of impaired assets. It finds that such techniques can play a role, but getting their design right is critical, as is nesting them within a comprehensive, system-wide, plan.
This practical, extensively illustrated handbook covers the procedures that are undertaken in andrology and ART laboratories to analyse and assess male-factor infertility, and to prepare spermatozoa for use in assisted conception therapy. The content is presented as brief, authoritative overviews of the relevant biological background for each area, plus detailed, step-by-step descriptions of the relevant analytical procedures. Each technical section includes pertinent quality control considerations, as well as the optimum presentation of results. In addition to the comprehensive 'basic' semen analysis, incorporating careful analysis of sperm morphology, the handbook provides established techniques for the use of computer-aided sperm analysis and sperm functional assessment. Throughout the handbook the interpretation of laboratory results in the clinical context is highlighted, and safe laboratory practice is emphasized. It is an invaluable resource to all scientists and technicians who perform diagnostic testing for male-factor infertility.
An excellent primer for the CS0 student, as well as the ideal companion to Computer Science Illuminated, Third Edition, Alice: The Programming Language offers a clear introduction to this engaging language. This overview describes the fundamentals of the language, the structure of Alice programs, how Alice supports object-oriented programming, and much more.
Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at science.kennesaw.edu/~jgarrido/comp_models The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems. Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.
With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models. The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for designing and implementing problem solutions. It applies standard pseudo-code constructs and flowcharts for designing models. The second part covers model implementation with basic programming constructs using MATLAB®, Octave, and FreeMat. Aimed at beginning students in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving focuses on fundamentals, helping the next generation of scientists and engineers hone their problem solving skills.
Europe’s banking system is weighed down by high levels of non-performing loans (NPLs), which are holding down credit growth and economic activity. This discussion note uses a new survey of European country authorities and banks to examine the structural obstacles that discourage banks from addressing their problem loans. A three pillared strategy is advocated to remedy the situation, comprising: (i) tightened supervisory policies, (ii) insolvency reforms, and (iii) the development of distressed debt markets.
This note considers the role debt-equity conversions and NPL securitization can play in addressing excessive corporate debt in China, and the corresponding burden on banks of impaired assets. It finds that such techniques can play a role, but getting their design right is critical, as is nesting them within a comprehensive, system-wide, plan.
The European debt crisis in the early to mid 2010s brought to the fore the issue of household debt distress: in the countries affected, widespread over-indebdtedness resulted in serious financial and social challenges. The crisis was primarily a mortgage debt crisis, but in several cases, the legal response was based on the introduction of personal insolvency procedures. This paper examines the challenges in designing and implementing legal reforms in this area to promote a better understanding of the main considerations in resolving personal insolvency and distressed mortgage debt in the context of crises. Lessons from the European crisis may prove valuable when dealing with the aftermath of the COVID-19 pandemic and the war in Ukraine on household debt distress.
The Directive on Restructuring and Insolvency sets minimum standards for restructuring and certain insolvency matters, but its harmonization effect will be limited given multiple options for implementation, likely leading to divergent restructuring models in Europe. These options reveal different policy approaches to the regulation of restructuring and insolvency. The analysis in this paper aims to illustrate the breadth of the policy choices and their consequences for restructuring activity. States should carefully design restructuring procedures to avoid the negative economic effects of certain options that could undermine creditors’ rights or result in unpredictable outcomes, particularly in cross-border cases.
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