Kenneth Price – författare

Technical Writing equips students with the tools and knowledge required to write clear, concise, and well-organized technical documents. This comprehensive guide encourages students to carefully consider word choice, sentence construction, document organization and formatting, the use of visual queuing, and more to create easy-to-read, high-impact technical documents. The text begins by outlining the major differences between academic papers and technical documents, and discussing critical elements to consider when writing technical documents including audience, the goal of the document, readers’ expectations, organization, and more. Later chapters address technical writing style, the importance of design, the basics of cognitive theory, and various types of communication documents. Students learn how to tailor writing for the technology industry, successfully incorporate research into technical documents, and create technical reports. The book concludes by walking students through setting up a professional portfolio of their work, addressing portfolio organization, topical strategy, strategic layout, and potential legal issues. Technical Writing is an accessible and comprehensive guide designed to help students write technical documents confidently and efficiently. The text is well suited for undergraduate courses in technical writing, communications, computer science, and engineering.

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization. A companion CD includes DE-based optimization software in several programming languages.

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables.The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.