Computer Problem Solving Made Easy


Book Description

Would you like to learn how to troubleshoot computer problems quickly and with confidence? Are you tired of asking others for help whenever an error message appears? This book features all-new solutions to problems in common computer programs, including Microsoft Word, Excel, email, Internet Explorer, and more.




PROBLEM SOLVING MADE EASY


Book Description

Problem Solving is the Art of Solving Problems, from the greatest to the smallest. Even if it is born in the business field, as a manager doctrine, today Problem Solving can be extended to everyone, to help those who practiceit to live better, by facing everyday life in a better way. Basically, what we are proposing you in this book is Problem Solving as a way of life. Knowing how to solve problems is a very precious gift that not everyone has: in fact, many people get lost in the classic glass of water. Does one born Problem Solver or is it possible to become one? Well, let’s say that having a practical approach to things is a positive attitude, it helps to face problems with more ease so surely there is who has more attitude towards this art. But everything can be apprehended, so it is also possible to become a Problem Solver: it is just a matter of attitude and mentality, technique and practicing. One needs to get used to Problem Solving and believe in it as if it is a religion. Experience helps too: little by little, as you behave like a problem solver you naturally adopt an increasingly positive attitude that can enforce the personality and the self-esteem. Improving the quality of your life. In the long run, like magic, Problem Solving will keep you far from problems because you will individuate them and destroy them, if not even prevent them! Do you understand the importance of this doctrine and its potentiality even in private life? So, thanks to this book, not only you will become very talented in solving your problems at home and at work, but you will also be able to solve brilliantly other people’s problems. Just like Mr. Wolf in Pulp Fiction: “I am Mr. Wolf, I solve problems”. Do you remember? P.S. This manual is suitable for everyone, from the manager to the housewife. The mood is light and the language is simple; it is full of practical examples and funny. THANKS TO THIS BOOK YOU WILL LEARN: What is Problem Solving The secrets of Strategic Problem Solving How to turn a problem in an opportunity How to turn a difficulty into an advantage How to turn a weakness into a strength How to avoid or face and overcome the obstacles How to individuate, frame and analyse the problem How to never lose lucidity and get panicked How pick the best solution among many How to not let other people influence you How to not be afraid to make mistakes How to not get immobilized from the fear of failing The secrets of Problem Solving at work The secrets of Problem Solving in love The secrets of Problem Solving in the family How to face health problems The secrets of the smart and fast thought The secrets of Think Different The art of visualization How to face an unsolvable problem And much more!




Computer-based Problem Solving Process


Book Description

One side-effect of having made great leaps in computing over the last few decades, is the resulting over-abundance in software tools created to solve the diverse problems. Problem solving with computers has, in consequence, become more demanding; instead of focusing on the problem when conceptualizing strategies to solve them, users are side-tracked by the pursuit of even more programming tools (as available).Computer-Based Problem Solving Process is a work intended to offer a systematic treatment to the theory and practice of designing, implementing, and using software tools during the problem solving process. This method is obtained by enabling computer systems to be more Intuitive with human logic rather than machine logic. Instead of software dedicated to computer experts, the author advocates an approach dedicated to computer users in general. This approach does not require users to have an advanced computer education, though it does advocate a deeper education of the computer user in his or her problem domain logic.This book is intended for system software teachers, designers and implementers of various aspects of system software, as well as readers who have made computers a part of their day-today problem solving.




Computer Science Distilled


Book Description

A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work.







Think Like a Programmer


Book Description

The real challenge of programming isn't learning a language's syntax—it's learning to creatively solve problems so you can build something great. In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to: –Split problems into discrete components to make them easier to solve –Make the most of code reuse with functions, classes, and libraries –Pick the perfect data structure for a particular job –Master more advanced programming tools like recursion and dynamic memory –Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.




How to Solve it by Computer


Book Description




Introduction to Algorithms, third edition


Book Description

The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.




Fundamentals of Discrete Math for Computer Science


Book Description

This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.




Animated Problem Solving


Book Description

This textbook is about systematic problem solving and systematic reasoning using type-driven design. There are two problem solving techniques that are emphasized throughout the book: divide and conquer and iterative refinement. Divide and conquer is the process by which a large problem is broken into two or more smaller problems that are easier to solve and then the solutions for the smaller pieces are combined to create an answer to the problem. Iterative refinement is the process by which a solution to a problem is gradually made better–like the drafts of an essay. Mastering these techniques are essential to becoming a good problem solver and programmer. The book is divided in five parts. Part I focuses on the basics. It starts with how to write expressions and subsequently leads to decision making and functions as the basis for problem solving. Part II then introduces compound data of finite size, while Part III covers compound data of arbitrary size like e.g. lists, intervals, natural numbers, and binary trees. It also introduces structural recursion, a powerful data-processing strategy that uses divide and conquer to process data whose size is not fixed. Next, Part IV delves into abstraction and shows how to eliminate repetitions in solutions to problems. It also introduces generic programming which is abstraction over the type of data processed. This leads to the realization that functions are data and, perhaps more surprising, that data are functions, which in turn naturally leads to object-oriented programming. Part V introduces distributed programming, i.e., using multiple computers to solve a problem. This book promises that by the end of it readers will have designed and implemented a multiplayer video game that they can play with their friends over the internet. To achieve this, however, there is a lot about problem solving and programming that must be learned first. The game is developed using iterative refinement. The reader learns step-by-step about programming and how to apply new knowledge to develop increasingly better versions of the video game. This way, readers practice modern trends that are likely to be common throughout a professional career and beyond.