Examples help explain the seven basic mathematical problem-solving methods, including inference, classification of action sequences, working backward, and contradiction

Seven problem-solving techniques include inference, classification of action sequences, subgoals, contradiction, working backward, relations between problems, and mathematical representation. Also, problems from mathematics, science, and engineering with complete solutions.

This workbook bridges the gap between lectures and practical applications, offering students of mathematics, engineering, and physics the chance to practice solving problems from a wide variety of fields. 2011 edition.

A unique collection of competition problems from over twenty major national and international mathematical competitions for high school students. Written for trainers and participants of contests of all levels up to the highest level, this will appeal to high school teachers conducting a mathematics club who need a range of simple to complex problems and to those instructors wishing to pose a "problem of the week", thus bringing a creative atmosphere into the classrooms. Equally, this is a must-have for individuals interested in solving difficult and challenging problems. Each chapter starts with typical examples illustrating the central concepts and is followed by a number of carefully selected problems and their solutions. Most of the solutions are complete, but some merely point to the road leading to the final solution. In addition to being a valuable resource of mathematical problems and solution strategies, this is the most complete training book on the market.

In this “powerful personal story woven with a rich analysis of what we all seek” (Sergey Brin, cofounder of Google), Mo Gawdat, Chief Business Officer at Google’s [X], applies his superior logic and problem solving skills to understand how the brain processes joy and sadness—and then he solves for happy. In 2001 Mo Gawdat realized that despite his incredible success, he was desperately unhappy. A lifelong learner, he attacked the problem as an engineer would: examining all the provable facts and scrupulously applying logic. Eventually, his countless hours of research and science proved successful, and he discovered the equation for permanent happiness. Thirteen years later, Mo’s algorithm would be put to the ultimate test. After the sudden death of his son, Ali, Mo and his family turned to his equation—and it saved them from despair. In dealing with the horrible loss, Mo found his mission: he would pull off the type of “moonshot” goal that he and his colleagues were always aiming for—he would share his equation with the world and help as many people as possible become happier. In Solve for Happy Mo questions some of the most fundamental aspects of our existence, shares the underlying reasons for suffering, and plots out a step-by-step process for achieving lifelong happiness and enduring contentment. He shows us how to view life through a clear lens, teaching us how to dispel the illusions that cloud our thinking; overcome the brain’s blind spots; and embrace five ultimate truths. No matter what obstacles we face, what burdens we bear, what trials we’ve experienced, we can all be content with our present situation and optimistic about the future.

This is a practical anthology of some of the best elementary problems in different branches of mathematics. Arranged by subject, the problems highlight the most common problem-solving techniques encountered in undergraduate mathematics. This book teaches the important principles and broad strategies for coping with the experience of solving problems. It has been found very helpful for students preparing for the Putnam exam.

Many books have been written on the theory of functional equations, but very few help readers solve functional equations in mathematics competitions and mathematical problem solving. This book fills that gap. Each chapter includes a list of problems associated with the covered material. These vary in difficulty, with the easiest being accessible to any high school student who has read the chapter carefully. The most difficult will challenge students studying for the International Mathematical Olympiad or the Putnam Competition. An appendix provides a springboard for further investigation of the concepts of limits, infinite series and continuity.

Inspired by Brown University’s beloved course—The Entrepreneurial Process—Danny Warshay’s See, Solve, Scale is a proven and paradigm-shifting method to unlocking the power of entrepreneurship. The Entrepreneurial Process, one of Brown University’s highest-rated courses, has empowered thousands of students to start their own ventures. You might assume these ventures started because the founders were born entrepreneurs. You might assume that these folks had technical or finance degrees, or worked at fancy consulting firms, or had some other specialized knowledge. Yet that isn’t the case. Entrepreneurship is not a spirit or a gift. It is a process that anyone can learn, and that anyone can use to turn a problem into a solution with impact. In See, Solve, Scale, Danny Warshay, the creator of the Entrepreneurial Process course and founding Executive Director of Brown’s Center for Entrepreneurship, shares the same set of tools with aspiring entrepreneurs around the world. He overturns the common misconception that entrepreneurship is a hard-wired trait or the sole province of high-flying MBAs, and provides a proven method to identify consequential problems and an accessible process anyone can learn, master, and apply to solve them. Combining real-world experience backed by surprising research-based insights, See, Solve, Scale guides the reader through forming a successful startup team and through the three steps of the process: find and validate a problem, develop an initial small-scale solution, and scale a long-term solution. It also details eleven common errors of judgment that entrepreneurs make when they rely on their intuition and provides instruction for how to avoid them. Leveraging Warshay’s own entrepreneurship successes and his 15 years of experience teaching liberal arts students, See, Solve, Scale debunks common myths about entrepreneurship and empowers everyone, especially those who other entrepreneurship books have ignored and left behind. Its lasting message: Anyone can take a world-changing idea from conception to breakthrough entrepreneurial success.

The fun and simple problem-solving guide that took Japan by storm Ken Watanabe originally wrote Problem Solving 101 for Japanese schoolchildren. His goal was to help shift the focus in Japanese education from memorization to critical thinking, by adapting some of the techniques he had learned as an elite McKinsey consultant. He was amazed to discover that adults were hungry for his fun and easy guide to problem solving and decision making. The book became a surprise Japanese bestseller, with more than 370,000 in print after six months. Now American businesspeople can also use it to master some powerful skills. Watanabe uses sample scenarios to illustrate his techniques, which include logic trees and matrixes. A rock band figures out how to drive up concert attendance. An aspiring animator budgets for a new computer purchase. Students decide which high school they will attend. Illustrated with diagrams and quirky drawings, the book is simple enough for a middleschooler to understand but sophisticated enough for business leaders to apply to their most challenging problems.

How can a thirsty crow drink from an almost-empty pitcher? How does arresting a stone help a judge find a boy's stolen money? This artfully illustrated book presents fourteen intriguing mysteries from world folklore. Each brain-teasing tale is followed by a simple explanation of the solution, while notes at the back of the book describe the origins of these classic mysteries.