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This book is a collection of a series of articles on several aspects of coastal fish biology and ecology. Coastal fish are key components of marine ecosystems, and the aim of this book is to present relevant research on these wonderful animals and to provide insights for future research in this field.

Alexandria pompano --- Slender sunfish --- Kitefin shark --- Crested oarfish --- Barracudina --- eastern Mediterranean Sea --- eastern Sicily --- Batoidea --- elasmobranchs --- diet --- coastal fishery --- fish assemblage --- lower reaches --- Nakdong River --- estuary weir --- marine juveniles --- Trachipteridae --- Ponza Island --- upwelling --- plankton diversity --- Batesian mimicry --- fish eggs --- environmental factors --- spatial factors --- generalized additive model --- remote sensing --- commercial fish species --- Mediterranean Sea --- environmental health --- heavy metals --- biomarkers --- benthic fish --- molecular tools --- cytochrome b --- ribosomal protein gene S7 --- Gobius cruentatus --- Gobius geniporus --- genetic structure --- quantitative fatty acid signature analysis --- aquatic food webs --- dietary estimation --- BRUV --- Ross Sea --- video sampling --- Antarctica --- coastal ecosystem --- video monitoring --- Tropical Eastern Pacific fish assemblage --- Galapagos --- water quality --- anthropogenic pressure --- European hake --- Merluccius merluccius --- fecundity --- somatic indices --- Adriatic Sea --- L50 --- invasive species --- non-indigenous species --- biological control --- prey–predator interactions --- n/a --- prey-predator interactions

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Robust optimization is a fairly new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. The authors are the principal developers of robust optimization.

Robust optimization. --- Linear programming. --- 519.8 --- 681.3*G16 --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.8 Operational research --- Operational research --- Robust optimization --- Linear programming --- Optimisation robuste --- Programmation linéaire --- Optimization, Robust --- RO (Robust optimization) --- Mathematical optimization --- Production scheduling --- Programming (Mathematics) --- 0O. --- Accuracy and precision. --- Additive model. --- Almost surely. --- Approximation algorithm. --- Approximation. --- Best, worst and average case. --- Bifurcation theory. --- Big O notation. --- Candidate solution. --- Central limit theorem. --- Chaos theory. --- Coefficient. --- Computational complexity theory. --- Constrained optimization. --- Convex hull. --- Convex optimization. --- Convex set. --- Cumulative distribution function. --- Curse of dimensionality. --- Decision problem. --- Decision rule. --- Degeneracy (mathematics). --- Diagram (category theory). --- Duality (optimization). --- Dynamic programming. --- Exponential function. --- Feasible region. --- Floor and ceiling functions. --- For All Practical Purposes. --- Free product. --- Ideal solution. --- Identity matrix. --- Inequality (mathematics). --- Infimum and supremum. --- Integer programming. --- Law of large numbers. --- Likelihood-ratio test. --- Linear dynamical system. --- Linear inequality. --- Linear map. --- Linear matrix inequality. --- Linear regression. --- Loss function. --- Margin classifier. --- Markov chain. --- Markov decision process. --- Mathematical optimization. --- Max-plus algebra. --- Maxima and minima. --- Multivariate normal distribution. --- NP-hardness. --- Norm (mathematics). --- Normal distribution. --- Optimal control. --- Optimization problem. --- Orientability. --- P versus NP problem. --- Pairwise. --- Parameter. --- Parametric family. --- Probability distribution. --- Probability. --- Proportionality (mathematics). --- Quantity. --- Random variable. --- Relative interior. --- Robust control. --- Robust decision-making. --- Semi-infinite. --- Sensitivity analysis. --- Simple set. --- Singular value. --- Skew-symmetric matrix. --- Slack variable. --- Special case. --- Spherical model. --- Spline (mathematics). --- State variable. --- Stochastic calculus. --- Stochastic control. --- Stochastic optimization. --- Stochastic programming. --- Stochastic. --- Strong duality. --- Support vector machine. --- Theorem. --- Time complexity. --- Uncertainty. --- Uniform distribution (discrete). --- Unimodality. --- Upper and lower bounds. --- Variable (mathematics). --- Virtual displacement. --- Weak duality. --- Wiener filter. --- With high probability. --- Without loss of generality.