Alexandre Matheron has worked and written substantially on Spinoza since the publication of his influential 1969 masterpiece 'Individu et communaute chez Spinoza' (Editions de Minuit) and he is considered one of the most important interpreters of Spinoza's philosophy in the 20th century. The 20 essays gathered here focus on the themes of ontology, knowledge, politics and ethics in Spinoza, his predecessors and his contemporaries. This is a crucial collection for anyone seeking to understand 20th-century continental Spinozism.
Alexandre Matheron has worked and written substantially on Spinoza since the publication of his influential 1969 masterpiece 'Individu et communaute chez Spinoza' (Editions de Minuit) and he is considered one of the most important interpreters of Spinoza's philosophy in the 20th century. The 20 essays gathered here focus on the themes of ontology, knowledge, politics and ethics in Spinoza, his predecessors and his contemporaries. This is a crucial collection for anyone seeking to understand 20th-century continental Spinozism.
The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.
Viability theory designs and develops mathematical and algorithmic methods for investigating the adaptation to viability constraints of evolutions governed by complex systems under uncertainty that are found in many domains involving living beings, from biological evolution to economics, from environmental sciences to financial markets, from control theory and robotics to cognitive sciences. It involves interdisciplinary investigations spanning fields that have traditionally developed in isolation. The purpose of this book is to present an initiation to applications of viability theory, explaining and motivating the main concepts and illustrating them with numerous numerical examples taken from various fields.
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