This text is a clear, concise introduction to problem solving and the C++ programming language. The authors' proven five-step problem solving methodology is presented and then incorporated in every chapter of the text. Outstanding engineering and scientific applications are used throughout; all applications are centered around the theme of engineering challenges in the 21st century.
In the tradition of Pascal and Turbo Pascal, authors Nell Dale and Chip Weems have teamed up with Mark Headington to offer Programming and Problem Solving with C++ for students in the CS1/C101 course. Written in the same style as the successful Pascal books, this text provides an accessible introduction to programming using C++ for beginning students. The first half of the text gives students a solid foundation in top-down programming techniques. The second half builds on this foundation and explains ADTs, the C++ class, encapsulation, information hiding, and object-oriented software development.
Unique in its approach, this introduction to computation shows how to think algorithmically and focuses on problem solving with the C programming language.KEY TOPICS:It considers many different algorithmic areas, including numerical methods, matrix methods, sorting, searching, graphics and simulation, and introduces object-oriented programming methods, including C++.For computer programmers and software engineers.
Engineering, at its origins, was a profession of problem solving. The classic text, Dialogues Concerning Two New Sciences by Galileo Galilei is revisited in this ambitious and comprehensive book by Milton Shaw. In-depth discussions of passages from the Galileo text emphasize the ""mind set"" of engineering, specifically the roles played by experimentation and dialog in analysis and creativity. In the epilogue, the author points out that engineering students are usually exposed to two types of faculty. The first type is mathematically oriented and mostly interested in analytical solutions. The second type is interested in devising and experimenting with innovative solutions. However, since many talented graduates move directly into teaching instead of gaining real world experience, an imbalance of analytical teaching has occurred. Shaw points out through an example by Dr. Dave Lineback that learning to solve practical engineering problems is a very important part of an engineer's education, but is often denied due to expense and time and effort required. This book fills in many of the gaps in engineering education by showing students, and professionals, the historical background of problem solving.Among those who will find this book particularly useful are engineers working in cross-disciplinary capacities, such as mechanical engineers working with electrical engineering concepts or polymeric materials, engineers preparing for professional engineering exams, mid-career engineers looking to broaden their problem-solving skills, and students looking for help growing their skills.
Whatever their discipline, engineers are routinely called upon to develop solutions to all kinds of problems. To do so effectively, they need a systematic and disciplined approach that considers a range of alternatives, taking into account all relevant factors, before selecting the best solution. In Problem Solving for Engineers, David Carmichael demonstrates just such an approach involving problem definition, generation of alternative solutions, and, ultimately, the analysis and selection of a preferred solution. David Carmichael introduces the fundamental concepts needed to think systematically and undertake methodical problem solving. He argues that the most rational way to develop a framework for problem solving is by using a systems studies viewpoint. He then outlines systems methodology, modeling, and the various configurations for analysis, synthesis, and investigation. Building on this, the book details a systematic process for problem solving and demonstrates how problem solving and decision making lie within a systems synthesis configuration. Carefully designed as a self-learning resource, the book contains exercises throughout that reinforce the material and encourage readers to think and apply the concepts. It covers decision making in the presence of uncertainty and multiple criteria, including that involving sustainability with its blend of economic, social, and environmental considerations. It also characterizes and tackles the specific problem solving of management, planning, and design. The book provides, for the first time, a rational framework for problem solving with an engineering orientation.
Devised with a focus on problem solving, Geotechnical Problem Solving bridges the gap between geotechnical and soil mechanics material covered in university Civil Engineering courses and the advanced topics required for practicing Civil, Structural and Geotechnical engineers. By giving newly qualified engineers the information needed to apply their extensive theoretical knowledge, and informing more established practitioners of the latest developments, this book enables readers to consider how to confidently approach problems having thought through the various options available. Where various competing solutions are proposed, the author systematically leads through each option, weighing up the benefits and drawbacks of each, to ensure the reader can approach and solve real-world problems in a similar manner The scope of material covered includes a range of geotechnical topics, such as soil classification, soil stresses and strength and soil self-weight settlement. Shallow and deep foundations are analyzed, including special articles on laterally loaded piles, retaining structures including MSE and Tieback walls, slope and trench stability for natural, cut and fill slopes, geotechnical uncertainty, and geotechnical LRFD (Load and Resistance Factor Design).
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Engineering Problem Solving with C++, 3e, is ideal for one/two semester courses in Engineering and Computer Science at the freshman/sophomore level. This text is a clear, concise introduction to problem solving and the C++ programming language. The authors’ proven five-step problem solving methodology is presented and then incorporated in every chapter of the text. Outstanding engineering and scientific applications are used throughout; all applications are centered around the theme of engineering challenges in the 21st century.
Avoid wasting time and money on recurring plant process problems by applying the practical, five-step solution in Process Engineering Problem Solving: Avoiding "The Problem Went Away, but it Came Back" Syndrome. Combine cause and effect problem solving with the formulation of theoretically correct working hypotheses and find a structural and pragmatic way to solve real-world issues that tend to be chronic or that require an engineering analysis. Utilize the fundamentals of chemical engineering to develop technically correct working hypotheses that are key to successful problem solving.
Designed for chemical engineering students and industry professionals, this book shows how to write reusable computer programs. Written in the three languages (C, C++, and MATLAB), it is accompanied by a CD-ROM featuring source code, executables, figures, and simulations. It also explains each program in detail.
"Introduction to Computational Science" was developed over a period of two years at the University of Utah Department of Computer Science in conjunction with the U.S. Department of Energy-funded Undergraduate Computation in Engineering Science (UCES) program. Each chapter begins by introducing a problem and then guiding the student through its solution. The computational techniques needed to solve the problem are developed as necassary, making the motivation for learning the computing alwasy apparent. Each chapter will introduce a single problem that will be used to motivate a single computing concept. The notes currently consist of 15 chapters. The first seven chapters deal with Maple and the last eight with C. The textbook will contain 20 to 30 chapters covering a similar mix of concepts at a finer level of detail.
