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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.

Differential inclusions. --- Feedback control systems. --- Set-valued maps. --- Differential inclusions --- Set-valued maps --- Feedback control systems --- Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Physical Sciences & Mathematics --- Calculus --- Operations Research --- Population viability analysis. --- Analysis, Population viability --- Assessment, Population viability --- Population viability analyses --- Population viability assessment --- PVA (Population viability analysis) --- Viability analysis, Population --- Viability assessment, Population --- Mathematics. --- Computer science --- Game theory. --- System theory. --- Control engineering. --- Economic theory. --- Systems Theory, Control. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Math Applications in Computer Science. --- Control. --- Game Theory, Economics, Social and Behav. Sciences. --- Population biology --- Statistical methods --- Systems theory. --- Computer science. --- Control and Systems Theory. --- Math --- Science --- Informatics --- Economic theory --- Political economy --- Social sciences --- Economic man --- Computer science—Mathematics. --- Games, Theory of --- Theory of games --- Mathematical models --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Systems, Theory of --- Systems science --- Philosophy --- Computer mathematics --- Electronic data processing

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This book focuses on conservation genetic (and genomic) papers that demonstrate applied outcomes that inform practical threatened species management. We cover a broad range of species and genetic approaches, but focus on how conservation genetic information is used to underpin management actions for species recovery. Through the exposition of a diversity of approaches, we aim to demonstrate to conservation managers and researchers how conservation genetics can inform on-ground species management.

small isolated population --- Mediterranean native trout --- morphological deformities --- Camphorosmoideae --- conservation genetics --- disjunct distribution --- population fragmentation --- population structure --- single nucleotide polymorphism (SNP) markers --- genetic diversity --- population viability analysis --- allele retention --- translocation --- conservation management --- threatened marsupial --- remnant --- conservation --- natural hybridisation --- Eucalyptus --- high throughput sequencing --- NGS --- South Australia --- golden bandicoot --- southern brown bandicoot --- quenda --- phylogenetic --- taxonomy --- evolutionarily significant unit --- ecosystem engineer --- genetic rescue --- genetic restoration --- supplementation --- disease --- inbreeding --- genetic swamping --- locally unique alleles --- population genetics --- marsupial --- adaptive potential --- Leadbeater’s possum --- Gymnobelideus leadbeateri --- ex situ conservation --- Psittacidae --- Ara macao --- Xcaret --- captive breeding --- climate drying --- cpDNA --- ecotype --- Evolutionarily Significant Units --- gene flow --- geographic expansion --- patchy abundance --- phylogeography --- n/a --- Leadbeater's possum