Algorithmic Problem Solving

Author: Roland Backhouse

Publisher: John Wiley & Sons

ISBN: 0470684534

Category: Computers

Page: 432

View: 9051

An entertaining and captivating way to learn the fundamentals of using algorithms to solve problems The algorithmic approach to solving problems in computer technology is an essential tool. With this unique book, algorithm guru Roland Backhouse shares his four decades of experience to teach the fundamental principles of using algorithms to solve problems. Using fun and well-known puzzles to gradually introduce different aspects of algorithms in mathematics and computing. Backhouse presents you with a readable, entertaining, and energetic book that will motivate and challenge you to open your mind to the algorithmic nature of problem solving. Provides a novel approach to the mathematics of problem solving focusing on the algorithmic nature of problem solving Uses popular and entertaining puzzles to teach you different aspects of using algorithms to solve mathematical and computing challenges Features a theory section that supports each of the puzzles presented throughout the book Assumes only an elementary understanding of mathematics Let Roland Backhouse and his four decades of experience show you how you can solve challenging problems with algorithms!

Engineering Applications of Neural Networks

14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings

Author: Lazaros S. Iliadis,Harris Papadopoulos,Chrisina Jayne

Publisher: Springer

ISBN: 3642410138

Category: Computers

Page: 510

View: 6039

The two volumes set, CCIS 383 and 384, constitutes the refereed proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning.

Tools for Teaching Logic

Third International Congress, TICTTL 2011, Salamanca, Spain, June 1-4, 2011, Proceedings

Author: Patrick Blackburn,Hans van Ditmarsch,Maria Manzano,Fernando Soler-Toscano

Publisher: Springer Science & Business Media

ISBN: 3642213499

Category: Computers

Page: 257

View: 6946

This book constitutes the proceedings of the Third International Congress on Tools for Teaching Logic, TICTTL 2011, held in Salamanca, Spain, in June 2011. The 30 papers presented were carefully reviewed and selected from 62 submissions. The congress focusses on a variety of topics including: logic teaching software, teaching formal methods, logic in the humanities, dissemination of logic courseware and logic textbooks, methods for teaching logic at different levels of instruction, presentation of postgraduate programs in logic, e-learning, logic games, teaching argumentation theory and informal logic, and pedagogy of logic.

Algorithmic Puzzles

Author: Anany Levitin,Maria Levitin

Publisher: Oxford University Press

ISBN: 0199911770

Category: Mathematics

Page: 280

View: 9355

While many think of algorithms as specific to computer science, at its core algorithmic thinking is defined by the use of analytical logic to solve problems. This logic extends far beyond the realm of computer science and into the wide and entertaining world of puzzles. In Algorithmic Puzzles, Anany and Maria Levitin use many classic brainteasers as well as newer examples from job interviews with major corporations to show readers how to apply analytical thinking to solve puzzles requiring well-defined procedures. The book's unique collection of puzzles is supplemented with carefully developed tutorials on algorithm design strategies and analysis techniques intended to walk the reader step-by-step through the various approaches to algorithmic problem solving. Mastery of these strategies--exhaustive search, backtracking, and divide-and-conquer, among others--will aid the reader in solving not only the puzzles contained in this book, but also others encountered in interviews, puzzle collections, and throughout everyday life. Each of the 150 puzzles contains hints and solutions, along with commentary on the puzzle's origins and solution methods. The only book of its kind, Algorithmic Puzzles houses puzzles for all skill levels. Readers with only middle school mathematics will develop their algorithmic problem-solving skills through puzzles at the elementary level, while seasoned puzzle solvers will enjoy the challenge of thinking through more difficult puzzles.

Common Surgical Diseases

An Algorithmic Approach to Problem Solving

Author: Theodore J. Saclarides,Jonathan A. Myers,Keith W. Millikan

Publisher: Springer

ISBN: 1493915657

Category: Medical

Page: 372

View: 7618

Written by leaders in the field, the third edition of Common Surgical Diseases: An Algorithmic Approach to Problem Solving, provides surgical residents and medical students with a current, concise and algorithmic approach to frequently encountered clinical challenges. Each chapter details every common surgical disease in the form of a succinct text coupled with step-by-step algorithm. It also walks the reader through the evaluation, diagnosis, treatment and follow-up of the most common surgical problems. Thoroughly updated and revised, the third edition focuses on problems most frequently encountered by general surgeons and their residents and students. More factual information is included in the form of charts and tables for quick and easy reference. The section on critical care is updated and expanded. The section on pre-operative considerations has new chapters on how to best manage patient's medications before surgery (anticoagulants, anti-platelet drugs) and prophylaxis of deep venous thrombosis. Other new chapters include access for hemodialysis, adrenal incidentaloma, esophageal cancer, pancreatic cancer, management of abdominal wall defects, hyperglycemia, necrotizing soft tissue infections and SIRS/sepsis. Especially pertinent in todays' medical environment is an understanding of the genetic component of certain cancers and chapters are devoted to screening and treating patients with genetic predispositions to colorectal and breast cancer.

Learning to Design, Designing to Learn

Using Technology to Transform the Curriculum

Author: Diane Pelkus Balestri,Stephen C. Ehrmann,David L. Ferguson

Publisher: Taylor & Francis

ISBN: 9780844817064

Category: Computers

Page: 211

View: 3654

Aims to emphasize the potential role technology can play in helping schools/colleges transform teaching and learning through design-based curricula. Practical observations/recommendations are made. The thesis of the book is that technology can help

Programming and Problem Solving with Java

Author: Nell B. Dale,Chip Weems

Publisher: Jones & Bartlett Learning

ISBN: 9780763734022

Category: Computers

Page: 838

View: 6967

Thoroughly updated and reorganized, the new Second Edition of Programming and Problem Solving with Java continues to emphasize object-oriented design practices while offering numerous new case studies, end-of-chapter material, and descriptive examples, using Java 5.0. Programming and Problem Solving with Java, Second Edition is an exceptional resource for discovering Java as a first programming language.

Discipline-Based Education Research

Understanding and Improving Learning in Undergraduate Science and Engineering

Author: National Research Council,Division of Behavioral and Social Sciences and Education,Board on Science Education,Committee on the Status, Contributions, and Future Directions of Discipline-Based Education Research

Publisher: National Academies Press

ISBN: 0309254140

Category: Education

Page: 282

View: 1668

The National Science Foundation funded a synthesis study on the status, contributions, and future direction of discipline-based education research (DBER) in physics, biological sciences, geosciences, and chemistry. DBER combines knowledge of teaching and learning with deep knowledge of discipline-specific science content. It describes the discipline-specific difficulties learners face and the specialized intellectual and instructional resources that can facilitate student understanding. Discipline-Based Education Research is based on a 30-month study built on two workshops held in 2008 to explore evidence on promising practices in undergraduate science, technology, engineering, and mathematics (STEM) education. This book asks questions that are essential to advancing DBER and broadening its impact on undergraduate science teaching and learning. The book provides empirical research on undergraduate teaching and learning in the sciences, explores the extent to which this research currently influences undergraduate instruction, and identifies the intellectual and material resources required to further develop DBER. Discipline-Based Education Research provides guidance for future DBER research. In addition, the findings and recommendations of this report may invite, if not assist, post-secondary institutions to increase interest and research activity in DBER and improve its quality and usefulness across all natural science disciples, as well as guide instruction and assessment across natural science courses to improve student learning. The book brings greater focus to issues of student attrition in the natural sciences that are related to the quality of instruction. Discipline-Based Education Research will be of interest to educators, policy makers, researchers, scholars, decision makers in universities, government agencies, curriculum developers, research sponsors, and education advocacy groups.

Effective Learning in the Life Sciences

How Students Can Achieve Their Full Potential

Author: David Adams

Publisher: John Wiley & Sons

ISBN: 1119977630

Category: Science

Page: 288

View: 7174

Effective Learning in the Life Sciences is intended to help ensure that each student achieves his or her true potential by learning how to solve problems creatively in laboratory, field or other workplace setting. Each chapter describes state of the art approaches to learning and teaching and will include case studies, worked examples and a section that lists additional online and other resources. All of the chapters are written from the perspective both of students and academics and emphasize and embrace effective scientific method throughout. This title also draws on experience from a major project conducted by the Centre for Bioscience, with a wide range of collaborators, designed to identify and implement creative teaching in bioscience laboratories and field settings. With a strong emphasis on students thinking for themselves and actively learning about their chosen subject Effective Learning in the Life Sciences provides an invaluable guide to making the university experience as effective as possible.

Algorithmen - Eine Einführung

Author: Thomas H. Cormen,Charles E. Leiserson,Ronald Rivest,Clifford Stein

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110522012

Category: Computers

Page: 1339

View: 8560

Der "Cormen" bietet eine umfassende und vielseitige Einführung in das moderne Studium von Algorithmen. Es stellt viele Algorithmen Schritt für Schritt vor, behandelt sie detailliert und macht deren Entwurf und deren Analyse allen Leserschichten zugänglich. Sorgfältige Erklärungen zur notwendigen Mathematik helfen, die Analyse der Algorithmen zu verstehen. Den Autoren ist es dabei geglückt, Erklärungen elementar zu halten, ohne auf Tiefe oder mathematische Exaktheit zu verzichten. Jedes der weitgehend eigenständig gestalteten Kapitel stellt einen Algorithmus, eine Entwurfstechnik, ein Anwendungsgebiet oder ein verwandtes Thema vor. Algorithmen werden beschrieben und in Pseudocode entworfen, der für jeden lesbar sein sollte, der schon selbst ein wenig programmiert hat. Zahlreiche Abbildungen verdeutlichen, wie die Algorithmen arbeiten. Ebenfalls angesprochen werden Belange der Implementierung und andere technische Fragen, wobei, da Effizienz als Entwurfskriterium betont wird, die Ausführungen eine sorgfältige Analyse der Laufzeiten der Programme mit ein schließen. Über 1000 Übungen und Problemstellungen und ein umfangreiches Quellen- und Literaturverzeichnis komplettieren das Lehrbuch, dass durch das ganze Studium, aber auch noch danach als mathematisches Nachschlagewerk oder als technisches Handbuch nützlich ist. Für die dritte Auflage wurde das gesamte Buch aktualisiert. Die Änderungen sind vielfältig und umfassen insbesondere neue Kapitel, überarbeiteten Pseudocode, didaktische Verbesserungen und einen lebhafteren Schreibstil. So wurden etwa - neue Kapitel zu van-Emde-Boas-Bäume und mehrfädigen (engl.: multithreaded) Algorithmen aufgenommen, - das Kapitel zu Rekursionsgleichungen überarbeitet, sodass es nunmehr die Teile-und-Beherrsche-Methode besser abdeckt, - die Betrachtungen zu dynamischer Programmierung und Greedy-Algorithmen überarbeitet; Memoisation und der Begriff des Teilproblem-Graphen als eine Möglichkeit, die Laufzeit eines auf dynamischer Programmierung beruhender Algorithmus zu verstehen, werden eingeführt. - 100 neue Übungsaufgaben und 28 neue Problemstellungen ergänzt. Umfangreiches Dozentenmaterial (auf englisch) ist über die Website des US-Verlags verfügbar.

Programming and Problem Solving with ADA 95

Author: Nell B. Dale,Chip Weems,John McCormick,John W. McCormick

Publisher: Jones & Bartlett Learning

ISBN: 9780763707927

Category: Computers

Page: 919

View: 2963

Programming and Problem Solving with Ada 95 provides a solid introduction to programming while introducing the capabilities of Ada 95 and its syntax without overwhelming the student. The book focuses on the development of good programming habits. This text offers superior pedagogy that has long defined computer science education, including problem solving case studies, testing and debugging sections, quick checks, exam preparation, programming warm-up exercises, and programming problems. The extensive coverage of material in such a student-friendly resource means that more rigor, more theory, greater use of abstraction and modeling, and the earlier application of software engineering principles can be employed.

Analysis And Design Of Algorithms

Author: A.A.Puntambekar

Publisher: Technical Publications

ISBN: 9788184313772


Page: 741

View: 6142

What is an algorithm ? Fundamentals of algorithmic problem solving, Important problem types, Fundamental data structures.Fundamentals of the Analysis of Algorithm Efficiency : Analysis framework.Asymptotic notations and basic efficiency classes, Mathematical analysis of nonrecursive and recursive algorithms, Example - Fibonacci numbers.Brute Force : Selection sort and bubble sort, Sequential search and brute-force string matching, Exhaustive search.Divide and Conquer : Mergesort, Quicksorst, Binary search. Binary tree traversals and related properties, Multiplication of large integers and Stressen's matrix multiplication.Decrease and Conquer : Insertion sort, Depth first search, Breadth first search, Topological sorting.Algorithms for generating combinatorial objects.Transform and Conquer : Presorting, Balanced search trees, Heaps and heapsort, Problem reduction.Space and Time Tradeoffs : Sorting by counting, Input enhancement in string matching, Hashing.Dynamic Programming : Computing a binomial coefficient, Warshall's and Floyd's algorithms, The Knapsack problem and memory functions.Greedy Technique : Prim's algorithm, Kruskal's algorithm, Dujkstra's algorithm, Huffman trees.Limitations of Algorithm Power : Lower-bound arguments, Decision trees., P, NP and NP-complete problems.Coping with the Limitations of Algorithm Power : Backtracking, Branch-and-bound, Approximation algorithms for NP-hard problems.

Python Algorithms

Mastering Basic Algorithms in the Python Language

Author: Magnus Lie Hetland

Publisher: Apress

ISBN: 1484200551

Category: Computers

Page: 320

View: 348

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

Computability, Complexity, Logic

Author: E. Börger

Publisher: Elsevier

ISBN: 9780080887043

Category: Mathematics

Page: 591

View: 9476

The theme of this book is formed by a pair of concepts: the concept of formal language as carrier of the precise expression of meaning, facts and problems, and the concept of algorithm or calculus, i.e. a formally operating procedure for the solution of precisely described questions and problems. The book is a unified introduction to the modern theory of these concepts, to the way in which they developed first in mathematical logic and computability theory and later in automata theory, and to the theory of formal languages and complexity theory. Apart from considering the fundamental themes and classical aspects of these areas, the subject matter has been selected to give priority throughout to the new aspects of traditional questions, results and methods which have developed from the needs or knowledge of computer science and particularly of complexity theory. It is both a textbook for introductory courses in the above-mentioned disciplines as well as a monograph in which further results of new research are systematically presented and where an attempt is made to make explicit the connections and analogies between a variety of concepts and constructions.

Introduction to Genetic Algorithms

Author: S.N. Sivanandam,S. N. Deepa

Publisher: Springer Science & Business Media

ISBN: 3540731903

Category: Mathematics

Page: 442

View: 6145

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

Learning with Understanding in the Chemistry Classroom

Author: Iztok Devetak,Saša Aleksij Glažar

Publisher: Springer Science & Business Media

ISBN: 9400743661

Category: Science

Page: 418

View: 9545

This volume offers a critical examination of a variety of conceptual approaches to teaching and learning chemistry in the school classroom. Presenting up-to-date research and theory and featuring contributions by respected academics on several continents, it explores ways of making knowledge meaningful and relevant to students as well as strategies for effectively communicating the core concepts essential for developing a robust understanding of the subject. Structured in three sections, the contents deal first with teaching and learning chemistry, discussing general issues and pedagogical strategies using macro, sub-micro and symbolic representations of chemical concepts. Researchers also describe new and productive teaching strategies. The second section examines specific approaches that foster learning with understanding, focusing on techniques such as cooperative learning, presentations, laboratory activities, multimedia simulations and role-playing in forensic chemistry classes. The final part of the book details learner-centered active chemistry learning methods, active computer-aided learning and trainee chemistry teachers` use of student-centered learning during their pre-service education. Comprehensive and highly relevant, this new publication makes a significant contribution to the continuing task of making chemistry classes engaging and effective.