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This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves, and elliptic curves. The text is supported throughout with problems, and the authors have included source code in Python in the book. The book is suitable for advanced undergraduate and graduate students in computer science.
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Main entries in Passenger and Immigration Lists Index provide information including name and age of immigrant; year and place of arrival, naturalization, or other records which indicates person indexed is an immigrant; code indicating the source indexed and the page number in the source which contains the record; and the names of all listed family members together with their age and relationship to the main entry.
Udělejte v copywritingu další krok kupředu a vpusťte do něj pořádnou dávku inspirace. Díky 33 kapitolám nabitým tipy z autorčiny praxe i zkušenostmi světových osobností si uděláte z copywriterské rutiny kreativní dobrodružství. V 5 částech knihy se postupně naučíte přicházet s novými nápady, odhalíte motivace zákazníků, ujasníte si hlavní složky dobrého kousku copy a začnete vyprávět příběhy, které chytnou a nepustí. Každou inspiraci doplňují vysvětlující grafy, praktické pomůcky, cvičení pro rozpohybování mysli a také ilustrace talentovaného Ticha762. Přestaňte sekat copy jak Baťa cvičky a dostaňte se pod povrch klasických pouček – jen tak vás psaní bude naplňovat a nestane se fádní rutinou. O autorce: Anička Sálová se věnuje copywritingu a online marketingu přes 5 let. V tehdy největší online marketingové agentuře ČR – H1.cz – to dotáhla až na vedoucí tamního copytýmu. Odtud už byl jen krůček k založení vlastní obsahové agentury Content Wizards. Jako content strategist pomáhá online projektům najít vlastní hlas a školí veřejnost i firmy.
"The first psychosocial study of the female intelligentsia in Russia, Mothers and Daughters explains how and why women radicals of the nineteenth century diverged from their male counterparts, describes the forces that led women to rebel, and discusses their mixed legacy to future generations. Barbara Alpern Engel examines her subject on three levels: the traditional family system; early feminism and women's rebellion against the family; and the causes and consequences of women's revolutionary activity. She describes the impact this revolt had on the family and the lives of radical women and the movement's role in inspiring a new feminine mythology. Throughout, Engel brings nineteenth-century women to life, humanizing history as she presents a case study of how the personal became political in a time and place very different from our own." --Book Jacket.
Provides lessons on many topics of nature study, with questions that may form the basis for student projects.
This study is available in paperback for the first time. At no time in Northern Ireland's history did so many significant political initiatives occur as between 1972 and 1975, the most violent and polarised years of the region's conflict. Using archival sources, this book analyses the political events and processes that informed the British government's Northern Ireland policy at the time, the complex interactions between Northern Ireland political parties, and the importance of the British-Irish diplomatic relationship to the search for a solution to the Northern Ireland conflict.Focusing on the rise and fall of the power-sharing Executive and the Sunningdale Agreement, the book challenges a number of persistent myths, including those concerning the role of the Irish government in the Northern Ireland conflict. It contests the notion that the years 1972 to 1975 represent a 'lost peace process', but demonstrates that the policies established during this period provided the template for Northern Ireland's current, ongoing peace settlement.
Reliable perception is required in order for robots to operate safely in unpredictable and complex human environments. However, reliability of perceptual inference algorithms has been poorly studied so far. These algorithms capture uncertain knowledge about the world in the form of probabilistic belief distributions. A number of Monte Carlo and deterministic approaches have been developed, but their efficiency depends on the degree of smoothness of the beliefs. In the real world, the smoothness assumption often fails, leading to unreliable perceptual inference results. Motivated by concrete robotics problems, we propose two novel perceptual inference algorithms that explicitly consider local...