Exceptional exposition and numerous worked out problems make this book extremely readable and accessible. The authors connect the applications discussed in class to the textbook. The new edition contains more real world signal processing and communications applications. It introduces the reader to the basics of probability theory and explores topics ranging from random variables, distributions and density functions to operations on a single random variable. There are also discussions on pairs of random variables; multiple random variables; random sequences and series; random processes in linear systems; Markov processes; and power spectral density.
This book is intended for practicing engineers and students in graduate-level courses in the topic.
This concise introduction to probability theory carries on the success of previous editions, offering readers a logical, well-organized look at the fundamental of the subject--includes applications that strengthen engineers' grasp of probability concepts. New! Coverage of discrete-time random processes and sequences, and other general topics related to digital signal processing.
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.
A First Course in Probability, Ninth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.
Introduction to Probability Models, Eleventh Edition is the latest version of Sheldon Ross's classic bestseller, used extensively by professionals and as the primary text for a first undergraduate course in applied probability. The book introduces the reader to elementary probability theory and stochastic processes, and shows how probability theory can be applied fields such as engineering, computer science, management science, the physical and social sciences, and operations research.
The hallmark features of this text have been retained in this eleventh edition: superior writing style; excellent exercises and examples covering the wide breadth of coverage of probability topic; and real-world applications in engineering, science, business and economics. The 65% new chapter material includes coverage of finite capacity queues, insurance risk models, and Markov chains, as well as updated data. The book contains compulsory material for new Exam 3 of the Society of Actuaries including several sections in the new exams. It also presents new applications of probability models in biology and new material on Point Processes, including the Hawkes process. There is a list of commonly used notations and equations, along with an instructor's solutions manual.
This updated text provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage.
As with the previous editions, Ross' text has remendously clear exposition, plus real-data examples and exercises throughout the text. Numerous exercises, examples, and applications
apply probability theory to everyday statistical problems and situations.
This new fifth edition has become more than a textbook for the basic linear algebra course. That is its first purpose and always will be. The new chapters about applications of the SVD, probability and statistics, and Principal Component Analysis in finance and genetics, make it also a textbook for a second course, plus a resource at work. Linear algebra has become central in modern applied mathematics. This book supports the value of understanding linear algebra.
This well-respected book introduces readers to the theory and application of modern numerical approximation techniques. Providing an accessible treatment that only requires a calculus prerequisite, the authors explain how, why, and when approximation techniques can be expected to work-and why, in some situations, they fail. A wealth of examples and exercises develop readers' intuition, and demonstrate the subject's practical applications to important everyday problems in math, computing, engineering, and physical science disciplines. Three decades after it was first published, Burden, Faires, and Burden's NUMERICAL ANALYSIS remains the definitive introduction to a vital and practical subject.
A FIRST COURSE IN DIFFERENTIAL EQUATIONS WITH MODELING APPLICATIONS, 10th Edition strikes a balance between the analytical, qualitative, and quantitative approaches to the study of differential equations. This proven and accessible book speaks to beginning engineering and math students through a wealth of pedagogical aids, including an abundance of examples, explanations, "Remarks" boxes, definitions, and group projects. Written in a straightforward, readable, and helpful style, the book provides a thorough treatment of boundary-value problems and partial differential equations.
The strengths of these texts are characterized by mathematical integrity, comprehensive discussions of the concepts of calculus, and an impressively large collection of worked examples and illustrative figures.
এই বইটি স্কুলের মাধ্যমিক পর্যায়ের ছেলেমেয়েদের জন্যে লেখা। তবে কোনো ছেলেমেয়ে যেন ভুলেও মনে না করে এটি পড়ে তারা পরীক্ষায় ভালো নম্বর পাবে। মোটেও হয়নি- এটা লেখা হয়েছে পদার্থবিজ্ঞান শেখার জন্যে। পদার্থবিজ্ঞান শেখা মানে সমস্যার সমাধান করতে পারা। এই বইয়ে অনেকগুলো সমস্যা উদাহরণ হিসেবে দেয়া আছে, তাই কারো যদি পদার্থবিজ্ঞান শেখার ইচ্ছে হয় তাদেরকে উদাহরণগুলো নিজে নিজে করার চেষ্টা করতে হবে। বইয়ের শেষে যে অনুশীলনী আছে সবাইকে সেগুলো করতে হবে, শুধু তাহলেই সে মনে করতে পারে যে পুরো বইটা তার পড়া হয়েছে।
১. একক কাকে বলে?
উত্তর : কোনাে একটি রাশির পরিমাপ বােঝাতে গেলে বিশেষ সুবিধাজনক একটি পরিমাণকে নির্দিষ্ট ধরা হয় এবং ঐ নির্দিষ্ট পরিমাণকে মান ধরে সমপ্রকার যে কোনাে রাশির পরিমাপ নির্ণয় করা হয়ে থাকে। ঐ নির্দিষ্ট পরিমাণ তথা মানকে বলা হয় একক।
২. প্রাথমিক একক ও লব্ধ একক কাদের বলা হয় ?
উত্তর : দৈর্ঘ্য, ভর ও সময় এই তিনের একক পরস্পর পরস্পরের উপর নির্ভর করে । তাই এদের একককে বলা হয় প্রাথমিক একক।
আবার প্রাথমিক একক থেকে অন্যান্য এককও গঠন করা হয়ে থাকে, তাই যে সব একক প্রাথমিক একক থেকে গঠিত হয় তাদেরই বলে লব্ধ একক।
The new edition offers a most accurate, extensive and varied set of assessment questions of any course management program in addition to all questions including some form of question assistance including answer specific feedback to facilitate success. The text also offers multimedia presentations (videos and animations) of much of the material that provides an alternative pathway through the material for those who struggle with reading scientific exposition. Furthermore, the book includes math review content in both a self-study module for more in-depth review and also in just-in-time math videos for a quick refresher on a specific topic.
Quantum Mechanics: Concepts and Applications provides clear, balanced and modern introduction to the subject. Written with the student’s background and ability in mind the book takes an innovative approach to quantum mechanics by combining the essential elements of the theory with the practical applications: it is therefore both a textbook and a problem-solving book in one self-contained volume. Carefully structured, the book starts with the experimental basis of quantum mechanics and then discusses its mathematical tools. Subsequent chapters cover the formal foundations of the subject, the exact solutions of theSchrödinger equation for one and three-dimensional potentials, time-independent and time-dependent approximation methods, and finally, the theory of scattering.
