Collins Cambridge IGCSE (TM) Maths Student's Book - Fourth Edition provides in-depth coverage of every aspect of the revised Cambridge IGCSE and IGCSE (9-1) Mathematics syllabuses (0580/0980) for examination from 2025. The resource covers the Core and Extended syllabus. Exam Board: Cambridge Assessment International Education For examination from: 2025 Support and challenge students with both the Core and Extended syllabus content clearly labelled in one book. Cover the syllabus with confidence with clear references to what students will learn at the start of every chapter and content fully updated for the revised syllabus and assessment. Grow confidence working without a calculator with clearly labelled questions and exercises. Familiarise students with a mix of structured and unstructured questions throughout. Develop problem solving with questions that require students to apply their skills, often in real life, international contexts. Help students to prepare for examination with past paper questions. Emphasise the relevance of maths with 'Why this chapter matters' showing maths in everyday life or historical development. Consolidate understanding with tried and tested questions in extensive practice exercises and detailed worked examples. Deliver a fully international course with international examples, contexts, names, currency and locations. Assist English as Second Language learners understand complex mathematical terminology with clear key term definitions, gathered in a glossary. Encourage students to check their work with answers to all exercise questions at the back of the book. We are working with Cambridge Assessment International Education towards endorsement of this title.

Fibonacci Cubes have been an extremely popular area of research since the 1990s.This unique compendium features the state of research into Fibonacci Cubes. It expands the knowledge in graph theoretic and combinatorial properties of Fibonacci Cubes and their variants.By highlighting various approaches with numerous examples, it provides a fundamental source for further research in the field. This useful reference text surely benefits advanced students in computer science and mathematics and serves as an archival record of the current state of the field.

This book is a reprint of the third edition of the classic book on complex analysis. It is a rigorous introduction on an elementary level to the theory of analytic functions of one complex variable and is intended to be used by first year graduate students and advanced undergraduate students. The book covers standard topics in an introductory complex analysis course. The presentation is slanted toward the geometric approach to complex analysis, with a lot of material on conformal mappings, the Riemann mapping theorem, Dirichlet's problem (the existence of a harmonic function with given boundary values), the monodromy theorem, and consideration of the kinds of regions that the Cauchy integral theorem holds for. It also covers such analytic topics as power series, contour integrals, and infinite products. The coverage of special functions is concise but reasonably complete. The presentation is concise, clear, and thorough, and is still fresh today, more than thirty years after its last revision.

The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering.This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.

The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering. This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.