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This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
model predictive control --- bulbous bow --- improvement differential evolution algorithm --- evolutionary multi-objective optimization --- location routing problem --- flexible job shop scheduling problem --- basic differential evolution algorithm --- metric measure spaces --- NEAT --- genetic algorithm --- multiobjective optimization --- improved differential evolution algorithm --- performance indicator --- rubber --- averaged Hausdorff distance --- mixture experiments --- U-shaped assembly line balancing --- Genetic Programming --- Local Search --- driving events --- surrogate-based optimization --- single component constraints --- crop planning --- Pareto front --- numerical simulations --- shape morphing --- genetic programming --- economic crops --- local search and jump search --- model order reduction --- optimal solutions --- EvoSpace --- risky driving --- intelligent transportation systems --- optimal control --- IV-optimality criterion --- Bloat --- decision space diversity --- modify differential evolution algorithm --- power means --- driving scoring functions --- open-source framework --- evolutionary computation --- differential evolution algorithm --- vehicle routing problem --- multi-objective optimization
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Modeling micrometric and nanometric suspensions remains a major issue. They help to model the mechanical, thermal, and electrical properties, among others, of the suspensions, and then of the resulting product, in a controlled way, when considered in material formation. In some cases, they can help to improve the energy transport performance. The optimal use of these products is based on an accurate prediction of the flow-induced properties of the suspensions and, consequently, of the resulting products and parts. The final properties of the resulting micro-structured fluid or solid are radically different from the simple mixing rule. In this book, we found numerous works addressing the description of these specific fluid behaviors.
Technology: general issues --- History of engineering & technology --- Materials science --- graphene nano-powder --- thermal nanofluid --- rheological behavior --- Carreau nanofluid --- lubrication effect --- Vallejo law --- liquid–liquid interface --- shear rate --- nanoparticles --- diffuse interface --- phase field method --- molecular dynamics --- numerical simulation --- octree optimization --- microstructure generation --- domain reconstruction --- flow simulation --- permeability computing --- data-driven model --- model order reduction --- proper orthogonal decomposition --- manifold learning --- diffuse approximation --- microcapsule suspension --- Hausdorff distance --- topological data analysis (TDA) --- reinforced polymers --- concentrated suspensions --- flow induced orientation --- discrete numerical simulation --- steam generator --- void fraction --- mixture model --- porous media approach --- reduced-order model --- Proper Orthogonal Decomposition (POD) --- energy dissipation --- interval-pooled stepped spillway --- omega identification method --- Navier-Stokes equation --- singularity --- transitional flow --- turbulence --- Poisson equation --- nanoparticle two-phase flow --- particle coagulation and breakage --- flow around circular cylinders --- particle distribution --- n/a --- liquid-liquid interface
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Modeling micrometric and nanometric suspensions remains a major issue. They help to model the mechanical, thermal, and electrical properties, among others, of the suspensions, and then of the resulting product, in a controlled way, when considered in material formation. In some cases, they can help to improve the energy transport performance. The optimal use of these products is based on an accurate prediction of the flow-induced properties of the suspensions and, consequently, of the resulting products and parts. The final properties of the resulting micro-structured fluid or solid are radically different from the simple mixing rule. In this book, we found numerous works addressing the description of these specific fluid behaviors.
Technology: general issues --- History of engineering & technology --- Materials science --- graphene nano-powder --- thermal nanofluid --- rheological behavior --- Carreau nanofluid --- lubrication effect --- Vallejo law --- liquid–liquid interface --- shear rate --- nanoparticles --- diffuse interface --- phase field method --- molecular dynamics --- numerical simulation --- octree optimization --- microstructure generation --- domain reconstruction --- flow simulation --- permeability computing --- data-driven model --- model order reduction --- proper orthogonal decomposition --- manifold learning --- diffuse approximation --- microcapsule suspension --- Hausdorff distance --- topological data analysis (TDA) --- reinforced polymers --- concentrated suspensions --- flow induced orientation --- discrete numerical simulation --- steam generator --- void fraction --- mixture model --- porous media approach --- reduced-order model --- Proper Orthogonal Decomposition (POD) --- energy dissipation --- interval-pooled stepped spillway --- omega identification method --- Navier-Stokes equation --- singularity --- transitional flow --- turbulence --- Poisson equation --- nanoparticle two-phase flow --- particle coagulation and breakage --- flow around circular cylinders --- particle distribution --- n/a --- liquid-liquid interface
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Modeling micrometric and nanometric suspensions remains a major issue. They help to model the mechanical, thermal, and electrical properties, among others, of the suspensions, and then of the resulting product, in a controlled way, when considered in material formation. In some cases, they can help to improve the energy transport performance. The optimal use of these products is based on an accurate prediction of the flow-induced properties of the suspensions and, consequently, of the resulting products and parts. The final properties of the resulting micro-structured fluid or solid are radically different from the simple mixing rule. In this book, we found numerous works addressing the description of these specific fluid behaviors.
graphene nano-powder --- thermal nanofluid --- rheological behavior --- Carreau nanofluid --- lubrication effect --- Vallejo law --- liquid–liquid interface --- shear rate --- nanoparticles --- diffuse interface --- phase field method --- molecular dynamics --- numerical simulation --- octree optimization --- microstructure generation --- domain reconstruction --- flow simulation --- permeability computing --- data-driven model --- model order reduction --- proper orthogonal decomposition --- manifold learning --- diffuse approximation --- microcapsule suspension --- Hausdorff distance --- topological data analysis (TDA) --- reinforced polymers --- concentrated suspensions --- flow induced orientation --- discrete numerical simulation --- steam generator --- void fraction --- mixture model --- porous media approach --- reduced-order model --- Proper Orthogonal Decomposition (POD) --- energy dissipation --- interval-pooled stepped spillway --- omega identification method --- Navier-Stokes equation --- singularity --- transitional flow --- turbulence --- Poisson equation --- nanoparticle two-phase flow --- particle coagulation and breakage --- flow around circular cylinders --- particle distribution --- n/a --- liquid-liquid interface
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Locally symmetric spaces are generalizations of spaces of constant curvature. In this book the author presents the proof of a remarkable phenomenon, which he calls "strong rigidity": this is a stronger form of the deformation rigidity that has been investigated by Selberg, Calabi-Vesentini, Weil, Borel, and Raghunathan.The proof combines the theory of semi-simple Lie groups, discrete subgroups, the geometry of E. Cartan's symmetric Riemannian spaces, elements of ergodic theory, and the fundamental theorem of projective geometry as applied to Tit's geometries. In his proof the author introduces two new notions having independent interest: one is "pseudo-isometries"; the other is a notion of a quasi-conformal mapping over the division algebra K (K equals real, complex, quaternion, or Cayley numbers). The author attempts to make the account accessible to readers with diverse backgrounds, and the book contains capsule descriptions of the various theories that enter the proof.
Differential geometry. Global analysis --- Riemannian manifolds --- Symmetric spaces --- Rigidity (Geometry) --- 512 --- Lie groups --- Geometric rigidity --- Rigidity theorem --- Discrete geometry --- Spaces, Symmetric --- Geometry, Differential --- Manifolds, Riemannian --- Riemannian space --- Space, Riemannian --- Manifolds (Mathematics) --- Groups, Lie --- Lie algebras --- Topological groups --- Algebra --- Lie groups. --- Riemannian manifolds. --- Symmetric spaces. --- Rigidity (Geometry). --- 512 Algebra --- Addition. --- Adjoint representation. --- Affine space. --- Approximation. --- Automorphism. --- Axiom. --- Big O notation. --- Boundary value problem. --- Cohomology. --- Compact Riemann surface. --- Compact space. --- Conjecture. --- Constant curvature. --- Corollary. --- Counterexample. --- Covering group. --- Covering space. --- Curvature. --- Diameter. --- Diffeomorphism. --- Differentiable function. --- Dimension. --- Direct product. --- Division algebra. --- Ergodicity. --- Erlangen program. --- Existence theorem. --- Exponential function. --- Finitely generated group. --- Fundamental domain. --- Fundamental group. --- Geometry. --- Half-space (geometry). --- Hausdorff distance. --- Hermitian matrix. --- Homeomorphism. --- Homomorphism. --- Hyperplane. --- Identity matrix. --- Inner automorphism. --- Isometry group. --- Jordan algebra. --- Matrix multiplication. --- Metric space. --- Morphism. --- Möbius transformation. --- Normal subgroup. --- Normalizing constant. --- Partially ordered set. --- Permutation. --- Projective space. --- Riemann surface. --- Riemannian geometry. --- Sectional curvature. --- Self-adjoint. --- Set function. --- Smoothness. --- Stereographic projection. --- Subgroup. --- Subset. --- Summation. --- Symmetric space. --- Tangent space. --- Tangent vector. --- Theorem. --- Topology. --- Tubular neighborhood. --- Two-dimensional space. --- Unit sphere. --- Vector group. --- Weyl group. --- Riemann, Variétés de --- Lie, Groupes de --- Geometrie differentielle globale --- Varietes riemanniennes
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In 1920, Pierre Fatou expressed the conjecture that--except for special cases--all critical points of a rational map of the Riemann sphere tend to periodic orbits under iteration. This conjecture remains the main open problem in the dynamics of iterated maps. For the logistic family x- ax(1-x), it can be interpreted to mean that for a dense set of parameters "a," an attracting periodic orbit exists. The same question appears naturally in science, where the logistic family is used to construct models in physics, ecology, and economics. In this book, Jacek Graczyk and Grzegorz Swiatek provide a rigorous proof of the Real Fatou Conjecture. In spite of the apparently elementary nature of the problem, its solution requires advanced tools of complex analysis. The authors have written a self-contained and complete version of the argument, accessible to someone with no knowledge of complex dynamics and only basic familiarity with interval maps. The book will thus be useful to specialists in real dynamics as well as to graduate students.
Geodesics (Mathematics) --- Polynomials. --- Mappings (Mathematics) --- Maps (Mathematics) --- Functions --- Functions, Continuous --- Topology --- Transformations (Mathematics) --- Algebra --- Geometry, Differential --- Global analysis (Mathematics) --- Mathematics --- Absolute value. --- Affine transformation. --- Algebraic function. --- Analytic continuation. --- Analytic function. --- Arithmetic. --- Automorphism. --- Big O notation. --- Bounded set (topological vector space). --- C0. --- Calculation. --- Canonical map. --- Change of variables. --- Chebyshev polynomials. --- Combinatorics. --- Commutative property. --- Complex number. --- Complex plane. --- Complex quadratic polynomial. --- Conformal map. --- Conjecture. --- Conjugacy class. --- Conjugate points. --- Connected component (graph theory). --- Connected space. --- Continuous function. --- Corollary. --- Covering space. --- Critical point (mathematics). --- Dense set. --- Derivative. --- Diffeomorphism. --- Dimension. --- Disjoint sets. --- Disjoint union. --- Disk (mathematics). --- Equicontinuity. --- Estimation. --- Existential quantification. --- Fibonacci. --- Functional equation. --- Fundamental domain. --- Generalization. --- Great-circle distance. --- Hausdorff distance. --- Holomorphic function. --- Homeomorphism. --- Homotopy. --- Hyperbolic function. --- Imaginary number. --- Implicit function theorem. --- Injective function. --- Integer. --- Intermediate value theorem. --- Interval (mathematics). --- Inverse function. --- Irreducible polynomial. --- Iteration. --- Jordan curve theorem. --- Julia set. --- Limit of a sequence. --- Linear map. --- Local diffeomorphism. --- Mathematical induction. --- Mathematical proof. --- Maxima and minima. --- Meromorphic function. --- Moduli (physics). --- Monomial. --- Monotonic function. --- Natural number. --- Neighbourhood (mathematics). --- Open set. --- Parameter. --- Periodic function. --- Periodic point. --- Phase space. --- Point at infinity. --- Polynomial. --- Projection (mathematics). --- Quadratic function. --- Quadratic. --- Quasiconformal mapping. --- Renormalization. --- Riemann sphere. --- Riemann surface. --- Schwarzian derivative. --- Scientific notation. --- Subsequence. --- Theorem. --- Theory. --- Topological conjugacy. --- Topological entropy. --- Topology. --- Union (set theory). --- Unit circle. --- Unit disk. --- Upper and lower bounds. --- Upper half-plane. --- Z0.
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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Technology: general issues --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
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Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
Technology: general issues --- online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
Choose an application
Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.
online signature verification --- shape contexts --- function features --- SC-DTW --- symbolic representation --- two-stage method --- finger features --- multimodal recognition --- local coding --- Gabor filter --- LGS --- human identification --- biomarker --- ECG --- machine learning --- Physionet --- Lviv Biometric Dataset --- biometry --- identification --- bloodstream --- image recognition --- multi-biometrics --- bit planes --- block --- mutual information --- cross-device --- dorsal hand vein recognition --- person re-identification --- superpixel --- temporally aligned pooling --- walking cycle --- automatic recognition --- face --- voice --- body motion --- autism spectrum disorder (ASD) --- assessment --- intervention --- curve similarity --- curve similarity model --- curve similarity transformation --- similarity distance --- segmentation matching --- evolutionary computation --- finger vein recognition --- hand vein recognition --- contactless acquisition device --- public vascular pattern dataset --- biometric recognition performance evaluation --- face verification --- optical correlation --- Hausdorff distance --- image classification --- face detection --- depth map ensemble --- filtering --- geometric deep learning --- ear detection --- structured prediction --- semantic segmentation --- rotation equivariance --- Gaussian mixture model --- superpixels --- face recognition systems --- person identification --- biometric systems --- survey --- automatic signature verification --- touch-screen sensor --- data quality --- enrollment phase --- performance assessment --- augmented signature --- security enhancement --- mobile conditions --- biometric recognition --- visible light iris images --- image quality assessment --- image covariates --- quality filtering --- vascular biometric recognition --- wrist vein recognition --- contactless dataset --- pattern recognition --- infrared camera --- non-contact devices --- Scale-Invariant Feature Transform (SIFT®) --- Speeded Up Robust Features (SURF®) --- Oriented FAST and Rotated BRIEF (ORB) --- fingerprint --- presentation attack detection --- deep learning
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During the summer of 1965, an informal seminar in geometric topology was held at the University of Wisconsin under the direction of Professor Bing. Twenty-five of these lectures are included in this study, among them Professor Bing's lecture describing the recent attacks of Haken and Poincaré on the Poincaré conjectures, and sketching a proof of Haken's main result.
Topology. --- Abstract algebra. --- Branch point. --- Cantor set. --- Cartesian coordinate system. --- Cartesian product. --- Characteristic class. --- Characterization (mathematics). --- Cohomology. --- Commutator subgroup. --- Compactification (mathematics). --- Complete metric space. --- Conjecture. --- Connected space. --- Continuous function (set theory). --- Continuum hypothesis. --- Countable set. --- Cube. --- Cyclic group. --- Degeneracy (mathematics). --- Dehn's lemma. --- Diagram (category theory). --- Dimension theory (algebra). --- Dimension. --- Discrete group. --- Disk (mathematics). --- Embedding. --- Epimorphism. --- Equilateral triangle. --- Equivalence class. --- Equivalence relation. --- Euclidean space. --- Existential quantification. --- Fiber bundle. --- First-countable space. --- Fixed-point property. --- Function (mathematics). --- Fundamental group. --- Graph (discrete mathematics). --- Graph of a function. --- Grassmannian. --- H-cobordism. --- Hausdorff distance. --- Homeomorphism. --- Homotopy group. --- Homotopy. --- Hypercube. --- Hyperplane. --- Inclusion map. --- Inner automorphism. --- Intersection (set theory). --- Interval (mathematics). --- Inverse limit. --- Jordan curve theorem. --- K-cell (mathematics). --- Knot theory. --- Lexicographical order. --- Limit ordinal. --- Limit point. --- Line (geometry). --- Linear extension. --- Loop theorem. --- Mathematical induction. --- Mean value theorem. --- Metric space. --- Metrization theorem. --- Module (mathematics). --- Moore space. --- N-connected. --- N-sphere. --- Natural number. --- Neighbourhood (mathematics). --- Non-Euclidean geometry. --- Normal subgroup. --- Open set. --- Order topology. --- Orthogonal group. --- P-adic number. --- Poincaré conjecture. --- Polyhedron. --- Projection (linear algebra). --- Projection (mathematics). --- Projective line. --- Rectangle. --- Scientific notation. --- Semi-locally simply connected. --- Sign (mathematics). --- Simply connected space. --- Special case. --- Sphere theorem (3-manifolds). --- Submanifold. --- Subset. --- Summation. --- Tangent space. --- Theorem. --- Topological graph. --- Topological space. --- Two-dimensional space. --- Ultrafilter. --- Unit interval. --- Upper half-plane.
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