For courses in world cookery.
Examines world cuisines with context, visual aids, and time-tested recipes
Explore the world of international cooking with Patricia Heyman'sThird Edition of International Cooking: A Culinary Journey. Streamlined yet comprehensive, this text will take you on a journey as you closely examine world cuisines with an emphasis on how they've developed and evolved over time. Each chapter brings the featured cuisine to life, beginning with a large, high-quality regional map and an exploration of the history, topography, cooking methods, common foods, flavorings, and general characteristics of each cuisine. Nearly 400 recipes, including breads and wine pairings where appropriate, represent a rich variety of foods and dishes from around the world.
The text emphasizes flavor components that are unique to each cuisine, allowing readers to deepen their understanding of the relationships between regions and cuisines, while also learning about fusion and contemporary cooking. TheThird Edition includes new recipes in every chapter, hundreds of new and updated photographs, and new maps.
Stochastic control theory is a relatively young branch of mathematics. The beginning of its intensive development falls in the late 1950s and early 1960s. During that period an extensive literature appeared on optimal stochastic control using the quadratic performance criterion (see references in W onham [76J). At the same time, Girsanov [25J and Howard [26J made the first steps in constructing a general theory, based on Bellman's technique of dynamic programming, developed by him somewhat earlier [4J. Two types of engineering problems engendered two different parts of stochastic control theory. Problems of the first type are associated with multistep decision making in discrete time, and are treated in the theory of discrete stochastic dynamic programming. For more on this theory, we note in addition to the work of Howard and Bellman, mentioned above, the books by Derman [8J, Mine and Osaki [55J, and Dynkin and Yushkevich . Another class of engineering problems which encouraged the development of the theory of stochastic control involves time continuous control of a dynamic system in the presence of random noise. The case where the system is described by a differential equation and the noise is modeled as a time continuous random process is the core of the optimal control theory of diffusion processes. This book deals with this latter theory.
Each dish will be joy to explore, with simple, concise explanations and background details provided in the recipes.
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