https://www.chester.ac.uk/sites/files/chester/rep377.pdf

Analysis of Fractional Differential Equations

Singular Integral Equations. By N.I. Muskhelishvili. Translated fromthe 2nd Russian edition by J.R.M. Radok. Pp. 447. F1. 28.50. 1953. (Noordhoff, Groningen)

The package REGULARIZATION TOOLS consists of 54 Matlab routines for analysis and solution of discrete ill-posed problems, i.e., systems of linear equations whose coefficient matrix has the properties that its condition number is very large, and its singular values decay gradually to zero. Such problems typically arise in connection with discretization of Fredholm integral equations of the first kind, and similar ill-posed problems. Some form of regularization is always required in order to compute a stabilized solution to discrete ill-posed problems. The purpose of REGULARIZATION TOOLS is to provide the user with easy-to-use routines, based on numerical robust and efficient algorithms, for doing experiments with regularization of discrete ill-posed problems. By means of this package, the user can experiment with different regularization strategies, compare them, and draw conclusions from these experiments that would otherwise require a major programming effert. For discrete ill-posed problems, which are indeed difficult to treat numerically, such an approach is certainly superior to a single black-box routine. This paper describes the underlying theory gives an overview of the package; a complete manual is also available.

/pdf/regularization-tools-a-matlab-package-for-analysis-and-3c2tydm07j.pdf

REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

Social science research contains a wealth of knowledge for people seeking to understand collaboration processes. The authors argue that public managers should look inside the “black box” of collaboration processes. Inside, they will find a complex construct of five variable dimensions: governance, administration, organizational autonomy, mutuality, and norms. Public managers must know these five dimensions and manage them intentionally in order to collaborate effectively.

https://www.jstor.org/stable/pdfplus/4096567.pdf

Collaboration Processes: Inside the Black Box

Process algebra is the study of distributed or parallel syst em by algebraic means. Originating in computer science, process algebra has been extended in re ce t years to encompass not just discrete-event systems, but also continuously evolving ph enomena, resulting in so-called hybrid process algebras. A hybrid process algebra can be used for th e specification, simulation, control and verification of embedded systems in combination with the ir environment, and for any dynamic system in general. As the vehicle of our exposition, we use th e hybrid process algebra χ (Chi). The syntax and semantics of χ are discussed, and it is explained how equational reasoning simplifies tool implementations for simulation and verification. A bot tle filling line example is introduced to illustrate system analysis by means of equational reasonin g.

Process algebra

Some applications of Volterraequations Linear Volterra equations of the second kind Nonlinear equations of the second kind Equations of the first kind Convolution equations The numerical solution of equations of the second kind Product Integration methods for equations of the second kind Equations of the first kind with differentiable kernels Equations of the Abel type Integrodifferential equations Some computer programs Case studies.

Analytical and Numerical Methods for Volterra Equations

Formal languages, automata, computability, and related matters form the major part of the theory of computation. This textbook is designed for an introductory course for computer science and computer engineering majors who have knowledge of some higher-level programming language, the fundamentals of

Introduction to Formal Languages and Automata

Analytical and numerical methods for Volterra equations

An Introduction to Formal Languages and Automata

From the Publisher:
Each chapter provides an exploration section with problems that deal with software evaluation, selection, modificationm and the solution of not entirely open-ended problems.

Peter Linz

Papers

Analytical and Numerical Methods for Volterra Equations

Introduction to Formal Languages and Automata

Analytical and numerical methods for Volterra equations

An Introduction to Formal Languages and Automata

Exploring Numerical Methods: An Introduction to Scientific Computing