Master essential computer mathematics with Schaum's - the high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams! Students love Schaum's Outlines because they produce results. Each year, hundreds of thousands of students improve their test scores and final grades with these indispensable study guides. Get the edge on your classmates. Use Schaum's! If you don't have a lot of time but want to excel in class, this book helps you to: brush up before tests; find answers fast; study quickly and more effectively; and get the big picture without spending hours poring over lengthy textbooks.Schaum's Outlines give you the information teachers expect you to know in a handy and succinct format - without overwhelming you with unnecessary details. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text, Schaum's lets you study at your own pace and reminds you of all the important facts you need to remember - fast! And Schaum's are so complete, they're perfect for preparing for graduate or professional exams.Inside, you will find: detailed problems with step-by-step solutions; clear, concise explanations of the binary system, computer codes, computer arithmetic, algorithms, and much more; help with truth tables, logic gates, vectors, and matrices; a solved-problem approach that teaches you with hands-on help; and exercises for improving your problem-solving skills.If you want top grades and thorough understanding of essential computer mathematics, this powerful study tool is the best tutor you can have! Chapters include: Binary Number System; Computer Codes; Computer Arithmetic Logic, Truth Tables; Algorithms, Flowcharts, Pseudocode Programs; Sets and Relations; Boolean Algebra, Logic Gates, Simplification of Logic Circuits; Vectors, Matrices, Subscripted Variables; Linear Equations; Combinatorial Analysis; Probability; Statistics; Random Variables; and Graphs, Directed Graphs, Machines.