Bradley Jones – författare

Sams Teach Yourself C Programming in One Hour a Day, Seventh Edition is the newest version of the worldwide best-seller Sams Teach Yourself C in 21 Days. Fully revised for the new C11 standard and libraries, it now emphasizes platform-independent C programming using free, open-source C compilers. This edition strengthens its focus on C programming fundamentals, and adds new material on popular C-based object-oriented programming languages such as Objective-C.Filled with carefully explained code, clear syntax examples, and well-crafted exercises, this is the broadest and deepest introductory C tutorial available. It’s ideal for anyone who’s serious about truly mastering C – including thousands of developers who want to leverage its speed and performance in modern mobile and gaming apps.

Friendly and accessible, it delivers step-by-step, hands-on experience that starts with simple tasks and gradually builds to professional-quality techniques. Each lesson is designed to be completed in hour or less, introducing and clearly explaining essential concepts, providing practical examples, and encouraging you to build simple programs on your own. Coverage includes:

Understanding C program components and structure Mastering essential C syntax and program control Using core language features, including numeric arrays, pointers, characters, strings, structures, and variable scope Interacting with the screen, printer, and keyboard Using functions and exploring the C Function Library Working with memory and the compiler Contents at a Glance PART I: FUNDAMENTALS OF C 1 Getting Started with C 2 The Components of a C Program 3 Storing Information: Variables and Constants 4 The Pieces of a C Program: Statements, Expressions, and Operators 5 Packaging Code in Functions 6 Basic Program Control 7 Fundamentals of Reading and Writing Information PART II: PUTTING C TO WORK 8 Using Numeric Arrays 9 Understanding Pointers 10 Working with Characters and Strings 11 Implementing Structures, Unions, and TypeDefs 12 Understanding Variable Scope 13 Advanced Program Control 14 Working with the Screen, Printer, and Keyboard PART III: ADVANCED C 15 Pointers to Pointers and Arrays of Pointers 16 Pointers to Functions and Linked Lists 17 Using Disk Files 18 Manipulating Strings 19 Getting More from Functions 20 Exploring the C Function Library 21 Working with Memory 22 Advanced Compiler Use PART IV: APPENDIXES A ASCII Chart B C/C++ Reserved Words C Common C Functions D Answers

"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings."—Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate?What can I do if I have day-to-day variability and I can only perform 3 runs a day?How can I do RSM cost effectively if I have categorical factors?How can I design and analyze experiments when there is a factor that can only be changed a few times over the study?How can I include both ingredients in a mixture and processing factors in the same study?How can I design an experiment if there are many factor combinations that are impossible to run?How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study?How can I take into account batch information in when designing experiments involving multiple batches?How can I add runs to a botched experiment to resolve ambiguities?While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

"This is an engaging and informative book on the modern practice of experimental design. The authors'' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University

"It''s been said: ''Design for the experiment, don''t experiment for the design.'' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client''s actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 

This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:

How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities?

While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

"This is an engaging and informative book on the modern practice of experimental design. The authors'' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University

"It''s been said: ''Design for the experiment, don''t experiment for the design.'' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client''s actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota 

This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following:

How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities?

While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

A story finally told from an enlisted soldier’s unique perspective.Command Sergeant Major (CSM) Bradley P. Jones in his wildest dreams, never thought he would make a career out of the military. Like many, he joined for the college tuition assistance. He was determined to serve out his first and only enlistment, and then move on to bigger and better. He managed to leave the military – called a break in service – for four years, but the military never left his thoughts or his system. There was something about serving his country that constantly called to him through his missionary service in south America and then into his university studies. A calling Bradley finally succumbed to, reenlisting back into an AH-64 Apache helicopter battalion near the university. From there, his service led to a career he loved working on Apaches as a full-time federal employee, while starting a family with his wife as a newlywed. While serving in Kuwait on September 11, 2001, his life and career, along with everyone in uniform, changed along with the rest of the country. From there, his career trajectory seemed to him to be predetermined, finally culminating in his appointment to serve his beloved fellow soldiers as the top enlisted member in the battalion. In Treading the Deep, Bradley’s humor and faith promoting experiences, restores readers beliefs in the tenacity of the human spirit and its ability to ultimately overcome, no matter the trials or circumstances.

Riverstone and Blood plunges you into the heart of Eldoria, a realm once united but now fractured by ambition, betrayal, and lust. The book explores the consequences of unchecked power, as a kingdom that once thrived in peace is torn apart by the rise of magic and a thirst for dominance. The story follows the ripple effects of a young girl's discovery of immense power and how it reshapes the fate of five races-elves, humans, dwarves, orks, and snowpeople. As the once-protected land of Skell falls into darkness, alliances are broken, trust is lost, and the looming shadow of vengeance grows.

Riverstone and Blood plunges you into the heart of Eldoria, a realm once united but now fractured by ambition, betrayal, and lust. The book explores the consequences of unchecked power, as a kingdom that once thrived in peace is torn apart by the rise of magic and a thirst for dominance. The story follows the ripple effects of a young girl's discovery of immense power and how it reshapes the fate of five races-elves, humans, dwarves, orks, and snowpeople. As the once-protected land of Skell falls into darkness, alliances are broken, trust is lost, and the looming shadow of vengeance grows.