Maths for computer scientists

Professor Nicholas N Govorun, corresponding member of the USSR Academy of Sciences, was the principal organizer of the precedent meetings held at Dubna (1979, 1983, 1985).

This volume is a collection of papers which were presented at the traditional international conference on programming and mathematical methods for solving physical problems.

Systems and tools of computer algebra (Like AXIOM, Derive, FORM, Mathematica, Maple, Mupad, REDUCE, Macsyma.

Prediction of traffic (like weather forecast), its planning and control are counted among the great scientific and technological challenges.

This book is of interest to researchers in universities, research centres and industries who are involved in measurements and need advanced mathematical tools to solve their problems, and to whoever is working in the development of these mathematical tools.

This proceedings volume contains three invited papers and 93 contributed papers.

There is algebraic structure in time, computation and biological systems.

This volume contains the proceedings of the 4th International Conference on Numerical Methods and Applications.

This book contains original reviews by well-known workers in the field of mathematical linguistics and formal language theory, written in honour of Professor Solomon Marcus on the occasion of his 70th birthday.

In the past few decades, there has been a large amount of work on algorithms for linear network flow problems, special classes of network problems such as assignment problems (linear and quadratic), Steiner tree problem, topology network design and nonconvex cost network flow problems.

Over the past few years, there has been a surge of research activities on artificial neural networks.

Cellular automata provide one of the most interesting avenues into the study of complex systems in general, as well as having an intrinsic interest of their own.

This book provides a comprehensive account, from first principles, of the methods of numerical quantum mechanics, beginning with formulations and fundamental postulates.

Chinese Remainder Theorem, CRT, is one of the jewels of mathematics.

Mathematical logic is essentially related to computer science.

This monograph deals with theoretical fundamentals and numerical methods of optimizing nondetermined models of systems.

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems.

This volume contains selected papers presented at the Fourth Asian Symposium on Computer Mathematics.

This book introduces a practical approach to the modelling and computation of real-world systems.

This series of volumes on the "e;Frontiers of Computational Fluid Dynamics"e; was introduced to honor contributors who have made a major impact on the field.

Fork algebras are a formalism based on the relational calculus, with interesting algebraic and metalogical properties.

The explosion of data arising from rapid advances in communication, sensing and computational power has concentrated research effort on more advanced techniques for the representation, processing, analysis and interpretation of data sets.

The present volume contains the contributions of the keynote speakers of the BIOMAT 2007 Symposium as well as selected contributed papers in the areas of mathematical biology, biological physics, biophysics and bioinformatics.

Randomized search heuristics such as evolutionary algorithms, genetic algorithms, evolution strategies, ant colony and particle swarm optimization turn out to be highly successful for optimization in practice.

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems.

'Points, questions, stories, and occasional rants introduce the 24 chapters of this engaging volume.

This volume contains selected papers of the proceedings of the first Hellenic Conference on Mathematics and Informatics (HERMIS '92).

This third volume of the book series shows R-calculus is a Gentzen-typed deduction system which is non-monotonic, and is a concrete belief revision operator which is proved to satisfy the AGM postulates and the DP postulates.

This book A Guide to Graph Algorithms offers high-quality content in the research area of graph algorithms and explores the latest developments in graph algorithmics.

This book discusses different types of distance functions defined in an n-D integral space for their usefulness in approximating the Euclidean metric.

With the diversification of Internet services and the increase in mobile users, efficient management of network resources has become an extremely important issue in the field of wireless communication networks (WCNs).

This book discusses the formalization of mathematical theories centering on complex analysis and matrix theory, covering topics such as algebraic systems, complex numbers, gauge integration, the Fourier transformation and its discrete counterpart, matrices and their transformation, inner product spaces, and function matrices.

This book is the first general and extensive review on the algorithmics and mathematical results of beyond planar graphs.

This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms.

This book covers applications of machine learning in artificial intelligence.

This book features selected papers presented at the 2nd International Conference on Advanced Computing Technologies and Applications, held at SVKM's Dwarkadas J.

This book discusses all the major nature-inspired algorithms with a focus on their application in the context of solving navigation and routing problems.

This book brings together the best contributions of the Applied Statistics and Policy Analysis Conference 2019.

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research.

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications.

This book is a product of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017) to be held in Langkawi in November 2017.

 Deep Learning with R introduces deep learning and neural networks using the R programming language.

This book seeks to bridge the gap between statistics and computer science.